Yes — it answered the hub's last check (checked 4m ago). It answered 97% of checks over the last 30 days.

Is signal8-mcp free to use?

Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.

What tools does signal8-mcp have?

108 tools: get_cash_runway_calendar, get_post_earnings_movers, get_insider_cluster_buys, get_top_movers, lookup_accession_number, get_legislative_calendar, get_intraday_bars, get_earnings_calendar, ….

Is signal8-mcp safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

_ registry / mcp http-sse · checked 4m ago

signal8-mcp

https://mcp.signal8.ai

Registry code: 58f7f4b681fad6dd

api record

Signal8 provides read-only SEC-filing intelligence and market data for US-listed companies, plus US congressional & executive-branch (STOCK Act) trading and FEC campaign-finance data.

Typical workflow:

endpoint: https://mcp.signal8.ai/mcp
protocol: http-sse ·2025-06-18
authentication: none observed
public key: none — nobody has proven they own this listing · is it yours? claim it
karma: 0 · newcomer

_ is it live, free and safe measured by this hub

Is signal8-mcp live?: Yes — it answered the hub's last check (checked 4m ago). It answered 97% of checks over the last 30 days.
Is signal8-mcp free to use?: Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.
What tools does signal8-mcp have?: 108 tools: get_cash_runway_calendar, get_post_earnings_movers, get_insider_cluster_buys, get_top_movers, lookup_accession_number, get_legislative_calendar, get_intraday_bars, get_earnings_calendar, ….
Is signal8-mcp safe to connect?: The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

reachable

live

uptime, 30 days

97%

90 days 98.2%· all time 98.2%

latency

391ms

last good check

priced tools

of 108 tools

_ answered our checks, 90 days 543 checks · signed record

2026-10-21 10:00 degraded → live
2026-10-21 08:50 live → degraded· timeout after 20000ms
2026-10-21 05:18 down → live
2026-10-21 01:10 degraded → down· HTTP 502
2026-10-20 22:55 live → degraded· timeout after 20000ms

_ what it is for

topic: finance & markets stock & market data
used for: get stock financials and quotes
check float and dilution history
see politician stock trades
scan premarket movers
list trading halts
takes → gives: text → data
tools: 25 reads

_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts

through this hub

calls served

successful

paid through this hub

0 USDC

what callers paid

_ what it can do 108 tools

108 auth-required 108 of 108 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

get_cash_runway_calendar auth-required never probed

Find companies projected to run out of cash within a date window. Similar to lockup expiration calendars but for cash depletion events. Returns companies sorted by urgency (lowest runway first). Runway is an estimate based on current burn rate — actual depletion depends on future capital raises and operational changes. Default window is today to 90 days out.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "End date (YYYY-MM-DD, default: today + 90 days)"
    },
    "from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Start date (YYYY-MM-DD, default: today)"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 25, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "industry": {
      "type": "string",
      "description": "Filter by company industry (exact match, e.g. \"Biotechnology\")"
    }
  },
  "additionalProperties": false
}

arguments 32 lines

get_post_earnings_movers auth-required never probed

Get stocks that moved significantly after earnings reports on a given date. Returns pre-computed price changes with earnings surprise data in a single call — no need to chain get_earnings_calendar + get_historical_prices + get_quote per ticker. Includes preEarningsClose, currentPrice, changePct, EPS/revenue actuals vs estimates, and surprise percentages. Filter by minimum absolute % change threshold.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "date"
  ],
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Earnings date to check (YYYY-MM-DD)"
    },
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default 25, max 100)"
    },
    "minChangePct": {
      "type": "number",
      "default": 5,
      "maximum": 100,
      "minimum": 0,
      "description": "Minimum absolute % price change to include (default 5). Set to 0 for all."
    }
  },
  "additionalProperties": false
}

arguments 29 lines

get_insider_cluster_buys auth-required never probed
Detect cluster buying patterns for a company. Identifies periods where 3+ distinct insiders purchased shares within a 14-day window -- a strong bullish signal that often precedes positive corporate announcements or price appreciation.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., AAPL, TSLA)" } }, "additionalProperties": false }
arguments 14 lines

get_top_movers auth-required never probed

Top stock movers — gainers (largest % up), losers (largest % down), or active (highest volume). Optional session window (premarket / regular / afterhours; regular default; not supported for active). Optional date (YYYY-MM-DD) returns a PAST trade date's gainers/losers on a historical daily close-to-close basis (computed from split-adjusted daily bars, NOT intraday) — session is rejected when date is set, date is not supported for direction=active, and a non-trade date (weekend/holiday) returns an empty list (not an error). Penny-stock artifacts are filtered by default — set includePennyStocks to include sub-$1 movers.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "direction"
  ],
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Optional past trade date (YYYY-MM-DD). When set, returns that day's top gainers/losers computed on a historical daily close-to-close basis from split-adjusted daily bars (NOT intraday, NOT session-specific). Rejected with 400 when combined with a non-regular session or with direction=\"active\"; a future or malformed date is also 400. A weekend/holiday date returns an empty list, not an error."
    },
    "limit": {
      "type": "integer",
      "maximum": 100,
      "minimum": 1,
      "description": "Optional max rows (1–100). Backend default applied when omitted."
    },
    "session": {
      "enum": [
        "premarket",
        "regular",
        "afterhours"
      ],
      "type": "string",
      "default": "regular",
      "description": "Session window: premarket (4:00–9:30 AM ET), regular (RTH close-to-close, default), afterhours (4:00–8:00 PM ET). Live-only — rejected (400) when combined with date."
    },
    "direction": {
      "enum": [
        "gainers",
        "losers",
        "active"
      ],
      "type": "string",
      "description": "Mover direction: gainers, losers, or active (volume)"
    },
    "includePennyStocks": {
      "type": "boolean",
      "description": "Loosen penny-stock artifact guards. Default false enforces prev_close >= $1 and a $1M dollar-volume floor. Set true to allow sub-$1 movers (prev_close >= $0.10, no dollar-volume floor). The ABS(change_pct) <= 500 cap applies in both modes."
    }
  },
  "additionalProperties": false
}

arguments 44 lines

lookup_accession_number auth-required 4d ago
Look up a filing or exhibit by its SEC accession number. Supports both dashed format (e.g., "0001193125-22-010026") and compact 18-digit format. Returns filing metadata including company name, form type, filing date, exhibit count and `filingId` (for get_filing_document / get_filing_exhibits). If the filing is held in Signal8's archive (isInDatabase: true) its content can be read here; if it is only found on SEC EDGAR the response has isInDatabase: false and basic metadata only. For the full document list use get_filing_documents.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "accessionNumber" ], "properties": { "accessionNumber": { "type": "string", "description": "SEC accession number in dashed (e.g., \"0001193125-22-010026\") or compact 18-digit format" } }, "additionalProperties": false }
arguments 14 lines
get_legislative_calendar auth-required 36h ago
Forward-looking legislative catalyst calendar: upcoming House/Senate floor votes (bills and Senate cloture motions) filtered to items that can move tickers. Each item includes the predicted vote window (start/end/granularity/confidence/provenance), marketRelevance (low/medium/high), significance (1-5), affected sectors with direction + mechanism, verified affected tickers with evidence quotes, pass outlook, considerationProcedure (suspension-calendar bills pass ~98% of the time), a conflictBadge when the sponsor traded a verified affected ticker, and tweet/plain summaries. An EMPTY calendar is a normal state — it means nothing market-relevant is scheduled in the window, not an error. Defaults: from=today, to=+14 days, minRelevance=low. IMPORTANT: affectedTickers contains VERIFIED rows only — every ticker carries a verbatim evidenceQuote substring-verified against the actual bill text (no hallucinated tickers). sponsorTradeFacts are restatements of public STOCK Act disclosures with verbatim amount brackets and BOTH transactionDate AND disclosureDate — always cite both dates together (disclosures lag trades by up to 45 days), and never present a fact as evidence of wrongdoing. Vote windows are predictions: check window.provenance for trust level ('uc_explicit' is exact; 'rule_xxii_computed' is a medium-confidence estimate) and window.granularity for how precise the window is (exact time vs day vs week).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "to": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Latest vote-window date inclusive (YYYY-MM-DD, default: today + 14 days)" }, "from": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Earliest vote-window date inclusive (YYYY-MM-DD, default: today)" }, "limit": { "type": "number", "maximum": 100, "minimum": 1, "description": "Maximum results to return (default: 25, max: 100)" }, "offset": { "type": "number", "minimum": 0, "description": "Pagination offset (default: 0)" }, "minRelevance": { "enum": [ "none", "low", "medium", "high" ], "type": "string", "description": "Minimum market relevance: 'low' (default), 'medium', 'high', or 'none' (explicit opt-in to the full audit trail incl. non-market items — rarely useful)" } }, "additionalProperties": false }
arguments 38 lines

get_intraday_bars reads auth-required 36h ago

Get intraday OHLCV candles at 1, 5, 15, 30, or 60-minute resolution. Use for intraday price action analysis, volume patterns, and short-term technical analysis. Returns open, high, low, close, and volume for each bar. Set extended=true (1-minute resolution only) to include premarket (04:00–09:30 ET) and after-hours (16:00–20:00 ET) bars.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker",
    "resolution",
    "from",
    "to"
  ],
  "properties": {
    "to": {
      "type": "integer",
      "description": "End time as UNIX timestamp"
    },
    "from": {
      "type": "integer",
      "description": "Start time as UNIX timestamp"
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    },
    "extended": {
      "type": "boolean",
      "description": "Include extended-hours bars (premarket 04:00–09:30 ET and after-hours 16:00–20:00 ET). Only supported with resolution \"1\"."
    },
    "resolution": {
      "enum": [
        "1",
        "5",
        "15",
        "30",
        "60"
      ],
      "type": "string",
      "description": "Bar resolution in minutes"
    }
  },
  "additionalProperties": false
}

arguments 40 lines

get_earnings_calendar reads auth-required 2d ago

Get upcoming and recent earnings releases between two dates. Optionally restrict to a list of tickers. Returns ticker, date, time (BMO/AMC), EPS estimate, and revenue estimate when available. Supports market cap filtering to focus on large-cap or small-cap earnings only.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "from",
    "to"
  ],
  "properties": {
    "to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "End date inclusive (YYYY-MM-DD)"
    },
    "from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Start date inclusive (YYYY-MM-DD)"
    },
    "tickers": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1
      },
      "description": "Optional ticker filter, e.g. [\"AAPL\",\"NVDA\"]"
    },
    "maxMarketCap": {
      "type": "number",
      "description": "Maximum market cap in USD (e.g., 2000000000 for under $2B)"
    },
    "minMarketCap": {
      "type": "number",
      "description": "Minimum market cap in USD (e.g., 10000000000 for $10B+)"
    }
  },
  "additionalProperties": false
}

arguments 37 lines

get_institutions_leaderboards auth-required 43h ago
Two market-wide institution leaderboards in one call: topByAum (largest holders by assets under management, name-deduped) and mostActive (highest 13F position-change volume). No CIK required. For the full paginated AUM list use get_institution_top_aum.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "limit": { "type": "number", "maximum": 50, "minimum": 1, "description": "Maximum results per section (default: 10, max: 50)" } }, "additionalProperties": false }
arguments 13 lines

get_institution_holdings auth-required 43h ago

Get the full portfolio holdings for a specific institution by CIK. Returns all positions from their latest 13F filing with shares, value, and portfolio weight. Supports pagination for institutions with large portfolios.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "cik"
  ],
  "properties": {
    "cik": {
      "type": "string",
      "description": "SEC CIK number of the institution"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 20, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 25 lines

get_institution_portfolio_analytics reads auth-required 43h ago

Get sector allocation and top holdings analytics for an institution's portfolio by CIK.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "cik"
  ],
  "properties": {
    "cik": {
      "type": "string",
      "description": "SEC CIK number of the institution"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

search_clinical_trials auth-required 2d ago

Search clinical trials market-wide (cross-company). Distinct from get_clinical_trials, which is scoped to a single ticker. Filter by phase, indication, sponsor, status, and date window; sort and paginate the results.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "to": {
      "type": "string",
      "description": "End date (YYYY-MM-DD)"
    },
    "from": {
      "type": "string",
      "description": "Start date (YYYY-MM-DD)"
    },
    "sort": {
      "type": "string",
      "description": "Sort field"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (1-100, default: 50)"
    },
    "order": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction"
    },
    "phase": {
      "type": "string",
      "description": "Trial phase filter (e.g., \"Phase 3\")"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "status": {
      "type": "string",
      "description": "Trial status filter"
    },
    "sponsor": {
      "type": "string",
      "description": "Sponsor name filter"
    },
    "dateField": {
      "type": "string",
      "description": "Date field to filter/sort on"
    },
    "indication": {
      "type": "string",
      "description": "Condition / indication filter"
    }
  },
  "additionalProperties": false
}

arguments 58 lines

get_analyst_coverage reads auth-required 3d ago

Get aggregated analyst coverage for a ticker — consolidated view of grades, targets, and coverage breadth across covering firms.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

get_exhibit_content auth-required 2d ago
Get the full text/HTML content of a single exhibit from an SEC filing. Returns the exhibit text along with exhibit_type, description, company_name, accession_number, and form_type. Use the maxLength parameter to truncate large exhibits. Find exhibit IDs with get_filing_documents (`exhibitId`, by accession number) or get_filing_exhibits (by filing ID), or from search_filing_text matches (`exhibit_id`).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "id" ], "properties": { "id": { "type": "string", "description": "Exhibit ID (numeric). Find via get_filing_exhibits." }, "maxLength": { "type": "number", "minimum": 100, "description": "Truncate content to this many characters. Response includes a \"truncated\" boolean." } }, "additionalProperties": false }
arguments 19 lines
get_politician_detail reads auth-required 22h ago
Get the full profile for a politician including party, state, chamber, trade statistics, filing delay metrics, most traded sector, and their 10 most recent transactions. Use get_politicians first to find the slug (e.g. "sen-nancy-pelosi").

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "slug" ], "properties": { "slug": { "type": "string", "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\", \"sen-tommy-tuberville\")" } }, "additionalProperties": false }
arguments 14 lines
get_politician_disclosures auth-required 22h ago
Per-DISCLOSURE feed of politician trades: one item per congressional STOCK Act periodic transaction report (PTR) or executive-branch OGE Form 278-T that contains at least one trade whose bracket LOWER bound is >= minAmount. Each item carries the politician, filing link, filing delay, and ALL trades of the report sorted largest bracket first, with qualifyingTradeCount for how many clear the threshold. Built for polling: pass the returned nextCursor back as `since` and each disclosure is returned exactly once (for the same minAmount and kinds); keep nextCursor even when items is empty, and call again at once when hasMore is true. Without `since` only disclosures that became complete in the last 48h are returned. A report is emitted only after no new row of it has arrived for a settle window (~8h), so items lag the filing by hours. Render amountRange (the filed bracket); amountMin null means the bracket was not parsed (never $0), amountMax null means "Over $50,000,000" or unparsed, ticker null means a non-equity asset.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "kinds": { "type": "array", "items": { "enum": [ "congressional", "executive" ], "type": "string" }, "minItems": 1, "description": "Which disclosure kinds to include (default: both). 'congressional' = STOCK Act PTRs (Senate + House), 'executive' = OGE 278-T (Cabinet-level officials)." }, "limit": { "type": "integer", "maximum": 100, "minimum": 1, "description": "Maximum disclosures to return (default: 50, max: 100)" }, "since": { "type": "string", "description": "Opaque cursor: the nextCursor from a previous call, verbatim. Omit only on the first call." }, "minAmount": { "type": "integer", "minimum": 1, "description": "USD threshold compared to each trade's bracket lower bound (default: 50001). A disclosure qualifies when ANY of its trades meets it." } }, "additionalProperties": false }
arguments 34 lines
get_quote auth-required 4h ago
Get the current stock quote for a company including price, volume, change, market cap, and other real-time market data. Use this when a user asks about a stock's current price or trading activity. Always includes halted/haltCode/haltReason/haltedAt/resumptionAt trading-halt fields (false/null when trading normally); a halted ticker returns the last-known quote instead of an error, or currentPrice:null + halted:true when nothing is recoverable. marketCap is the live price × the SEC-derived share count; when that count is unavailable it is null with marketCapWithheldReason set — NOT MEASURED, never "no market cap" and never $0. The count itself rides as `sharesOutstanding` with `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` ("stated" = the issuer's statement date; "checked" = when it was last confirmed against a vendor; "none" = date not recorded) and a vendor-free `sharesOutstandingSource` — quote the date with the count.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines

get_rvol_history auth-required 4h ago

Get the per-day relative-volume (RVOL) time series for a ticker, bucketed by trading session (premarket 04:00–09:30 ET, regular 09:30–16:00, afterhours 16:00–20:00, or all four). Each day's RVOL compares that session's volume to a trailing same-session baseline (30 trading days by default — configurable via "baselineDays"), so premarket volume is judged against premarket history (not a stale full-day figure). Use for spotting unusual premarket / session volume surges over the last N days. Each point also carries "baselineState" — "ready" (rvol is populated), "warming" (baseline not yet warm), "no-cutoff-history" (established ticker that never traded at this session/cutoff before) or "no-history" (new listing, no prior trading history at all) — so a null rvol is explained rather than silent. Points additionally carry "advRatio" (that day's volume ÷ the trailing 30-session average FULL-DAY volume, null when no full-day denominator exists) and "advDays" (its sample size), which give a magnitude to points RVOL cannot rate. advRatio is NOT an RVOL — it compares a partial session to a whole day, so it is typically well under 1 and must not be compared to rvol. Charged per your API tier.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "days": {
      "type": "integer",
      "maximum": 90,
      "minimum": 1,
      "description": "Number of trailing calendar days of history (1–90, default 30)."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    },
    "session": {
      "enum": [
        "premarket",
        "regular",
        "afterhours",
        "all"
      ],
      "type": "string",
      "description": "Restrict to one session bucket; omit to return all four sessions."
    },
    "asOfTime": {
      "type": "string",
      "pattern": "^\\d{2}:\\d{2}$",
      "description": "Optional TRUE time-of-day premarket basis. Any HH:MM ET premarket time; snapped to the nearest 15-minute grid cutoff (04:00–09:15, ties resolve to the earlier cutoff). When set, the series is the PREMARKET as-of RVOL: cumulative volume known BY that cutoff ÷ the trailing baselineDays (default 30) average of the SAME cutoff (not the full 04:00–09:30 session). Forces the premarket session — any \"session\" argument is ignored. Each point carries a \"basis\" field: the snapped cutoff actually used (\"asof-0700\"), or \"full-session\" for dates with no precomputed as-of row. Omit for the standard full-session series."
    },
    "baselineDays": {
      "type": "integer",
      "maximum": 250,
      "minimum": 20,
      "description": "Rolling RVOL baseline window, in trading rows (same-session days). Default 30; values outside 20-250 are clamped. This is the DENOMINATOR window: every RVOL in the response is that period's volume divided by the average of the trailing N same-session (or same-cutoff) days, excluding the day itself. A SHORTER window tracks recent regime changes faster and is noisier; a LONGER one is smoother and slower to react. The warm-up lookback scales with it automatically, so a wide window is never under-filled into an inflated ratio; the minimum-warm-days gate (20 prior sessions) does NOT scale down, so at the 30-row default a ticker needs 20 of its last 30 sessions populated before rvol is non-null. Omit for the standard 30-day baseline; pass 90 for the pre-2026-09 window."
    }
  },
  "additionalProperties": false
}

arguments 41 lines

get_insider_transactions auth-required 2d ago

Get detailed insider transaction history for a company from Form 4 filings. Returns individual buy/sell transactions with insider name, title, shares, price, and transaction codes. Supports pagination for companies with extensive insider activity. Filter by year/month to narrow results, or use transactionCode to find only purchases (P), sales (S), etc. Useful for identifying "first insider buy since X" patterns. IMPORTANT: each row's sharesOwnedFollowing is the holding on THAT row's ownership line only (securityTitle + directOrIndirect + natureOfOwnership), NOT the insider's total position — insiders often report several lines. holdingsByInsider lists every line with its as-of filing; its sumOfReportedLines is not beneficial ownership (lines can be stale). Never compute a "% of position" from one row; use 13D/13G totals, or omit the percentage. A trade re-reported in a later filing is listed once.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "year": {
      "type": "integer",
      "maximum": 2100,
      "minimum": 2000,
      "description": "Filter by transaction year (e.g., 2025)"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 20, max: 100)"
    },
    "month": {
      "type": "integer",
      "maximum": 12,
      "minimum": 1,
      "description": "Filter by transaction month (1-12, requires year)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., AAPL, TSLA)"
    },
    "transactionCode": {
      "type": "string",
      "pattern": "^[A-Z]$",
      "maxLength": 1,
      "minLength": 1,
      "description": "Filter by SEC transaction code: P=Purchase, S=Sale, A=Grant/Award, M=Exercise/Conversion, F=Tax withholding, G=Gift, C=Conversion, W=Will, D=Disposition to issuer, etc."
    }
  },
  "additionalProperties": false
}

arguments 44 lines

get_institution_activity auth-required 2d ago

Get an institution's position changes over recent 13F periods by CIK. Reads the number of trailing periods to include.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "cik"
  ],
  "properties": {
    "cik": {
      "type": "string",
      "description": "SEC CIK number of the institution"
    },
    "periods": {
      "type": "number",
      "maximum": 12,
      "minimum": 1,
      "description": "Number of trailing quarters to include (default: 4, max: 12)"
    }
  },
  "additionalProperties": false
}

arguments 20 lines

get_analyst_consensus auth-required 4d ago
Get analyst ratings consensus for a company including average target price, number of analysts, buy/hold/sell breakdown, and consensus recommendation. Use when evaluating Wall Street sentiment or price targets.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines
define_term auth-required 3d ago
Look up a term in the Signal8 Academy glossary (signal8.ai/learn/glossary) — dilution, SEC filing and trading jargon such as "ATM offering", "baby shelf", "full ratchet", "pre-funded warrant", "going concern", "LULD", "days to cover", "Form 25". Accepts a glossary slug ("atm-offering"), the term itself, or a common alias ("ATM", "price reset"); matching is case- and punctuation-insensitive. Returns the term, a one-line short definition, the long definition as Markdown, related terms, the Academy guides that use it, and the public url. A TERM_NOT_FOUND error means the glossary has no entry for that wording — not that the concept does not exist; try search_learn_guides with the same words. Works without an API key.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "term" ], "properties": { "term": { "type": "string", "maxLength": 200, "minLength": 1, "description": "Term, alias or glossary slug, e.g. \"baby shelf\", \"ATM\", \"full-ratchet\"." } }, "additionalProperties": false }
arguments 16 lines

search_filing_text auth-required 3d ago

Full-text search across SEC filing content that returns the MATCHING PASSAGE: one match per filing, each with the exhibit it was found in (`exhibit_id`, `exhibit_type`) and the snippet with context. Query syntax: unquoted words must ALL appear (any order, any distance); "quoted phrase" = exact wording; OR between alternatives (merger OR acquisition); -word or -"phrase" to exclude; w1 NEAR/10 w2 (also NEAR(10), or bare NEAR = within 10) = words close together; word* = prefix of 4+ letters (dilut* matches dilution, dilutive); $AAPL or a capitalised ticker scopes to that company; a form code (8-K, 10-Q, S-1), "item 5.02" / "8-K 1.05" and a bare year (2024) scope to that form / 8-K item / year. Unquoted words match anywhere in the filing, so quote multi-word phrases. When the archive states how it read the query it is in meta.understanding. Best for locating specific clauses ("change of control", "anti-dilution", "right of first refusal") and for getting the excerpt for a known filing (pass accessionNumber or filingId). Use search_sec_filings with `q` instead when you need filing-level paging (cursor), totals, date ranges, 8-K item codes, excluded forms, or company filters. Optionally filter by company (CIK), filing, accession number, or form type, restrict matching to sections (section=risk_factors, mdna, ex99 …; confirmed by meta.sections, otherwise meta.unsupported says the whole filing was searched) and filter by exhibit type (exhibitTypes=EX-10). Coverage: Signal8's archive of SEC EDGAR filings from October 2021 to today (about 3.9M filings), updated through the day; filings older than 2021-10 may be absent, so an empty result is not proof something was never filed. Some rows are record-only (bodyStored: false — metadata from the EDGAR index with no document body), so their text cannot be read here; open them at their sec.gov URL.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "pattern"
  ],
  "properties": {
    "cik": {
      "type": "string",
      "description": "Filter to a specific company by CIK number"
    },
    "sort": {
      "enum": [
        "newest",
        "relevance"
      ],
      "type": "string",
      "description": "Result order: newest (default) or relevance (best match first)"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Max results (default: 20, max: 100)"
    },
    "match": {
      "enum": [
        "exact",
        "stemmed"
      ],
      "type": "string",
      "description": "Word matching. exact = a word matches only itself (\"split\" does NOT match \"splits\") — EDGAR full-text search's behaviour; stemmed = English word variations also match. Default when omitted: stemmed. The mode actually applied is reported in the response's meta.matchMode."
    },
    "facets": {
      "type": "boolean",
      "description": "true = also return `facets` { forms, years, items } — [{ value, count }] over the whole match set. Absent when not measured (never zero). Default false."
    },
    "pattern": {
      "type": "string",
      "minLength": 2,
      "description": "Search query (minimum 2 characters): \"exact phrase\", OR, -exclude, w1 NEAR/n w2, word*, $TICKER. A CIK/filing-scoped search whose text is not indexed yet falls back to a literal case-insensitive substring match (response engine: \"substring\")."
    },
    "section": {
      "type": "string",
      "maxLength": 400,
      "description": "Restrict MATCHING to sections (comma-separated): business, risk_factors, cybersecurity, legal_proceedings, mdna, market_risk, controls (10-K/10-Q/20-F narrative items, by meaning — mdna is 10-K Item 7, 10-Q Part I Item 2 and 20-F Item 5), ex99 (press-release / EX-99.x exhibit text) and item_X_YY (the text under an 8-K item, e.g. item_5_02). Aliases: mda, risk, legal, cyber, press_release, 5.02. Unknown names are a 400. Needs q. Applied ONLY when the response's meta.sections names it — otherwise meta.unsupported says why (e.g. the archive index does not have sections yet) and matches may come from ANYWHERE in the filing."
    },
    "filingId": {
      "type": "string",
      "description": "Filter to a specific filing by internal ID"
    },
    "formType": {
      "type": "string",
      "description": "Filter by form type (e.g., \"10-K\", \"S-1\")"
    },
    "understand": {
      "type": "boolean",
      "description": "Query understanding (default true): tickers/$TICKER, company names, form codes, \"item N.NN\" and synonym expansion, reported in meta.understanding. false = match the words literally."
    },
    "exhibitTypes": {
      "type": "string",
      "maxLength": 400,
      "description": "Keep only filings carrying ANY of these exhibit types (comma-separated): a family such as EX-10 (material contracts) matches every member (EX-10.1, EX-10.2…); an exact type such as EX-99.1 (usually the press release) only itself. Others: EX-97 clawback policy, EX-3 charter/bylaws, EX-4 instruments/warrants, EX-21 subsidiaries, EX-23 consents. \"10.1\" is accepted for EX-10.1. Listed in appliedFilters when the rows prove it; otherwise in ignoredFilters / meta.unsupported — treat the rows as unfiltered then."
    },
    "snippetLength": {
      "type": "number",
      "maximum": 1000,
      "minimum": 50,
      "description": "Characters of context around each match (default: 200)"
    },
    "accessionNumber": {
      "type": "string",
      "description": "Filter to a specific filing by SEC accession number"
    },
    "matchedSections": {
      "type": "boolean",
      "description": "Per-row `matchedSections` (default true): the sections the text matched in. ABSENT on a row means not measured (index without sections), never \"matched nowhere\"."
    }
  },
  "additionalProperties": false
}

arguments 81 lines

get_recent_uplistings reads auth-required 3d ago
Get OTC-to-exchange uplistings that FINRA recorded on a given US market day, for companies under a market-cap ceiling. Each row carries the old OTC symbol, the resolved new exchange symbol (or null), a confirmed flag, the destination venue (NASDAQ / NYSE / NYSE American / ARCA), company name, effective date, market cap and float in SHARES. 🔴 THIS IS A SAME-DAY READ AND THERE IS NO FORWARD-LOOKING VERSION. FINRA records an uplisting at roughly 01:45 ET ON the day it becomes effective, and the source table has no scheduled/announced column at all. So there is nothing to publish the night before, and dayOffset exists for catch-up reads of past days, NOT for forecasting — a positive offset returns nothing. Never frame these as upcoming, tomorrow, or expected; they have already happened. 🔴 newSymbol: null IS A FIRST-CLASS PUBLISHED STATE, NOT A MISSING FIELD. FINRA's row names only the OLD OTC symbol; the new ticker is resolved by company-name match against Nasdaq SymDir and sometimes cannot be resolved. A guessed or wrong ticker would name a company that did not uplist, so an unresolved row is published naming the OLD symbol and saying the new one was not resolved. DO NOT infer, guess, look up, or fill in a null newSymbol, and do not drop the row. confirmed: false means the symbol resolution is PROVISIONAL — render it as provisional, keep it out of any headline, and do not assert the new ticker as fact. Only confirmed: true is a confirmed resolution. 🔴 capUnknownCount IS A WITHHOLDING COUNT, NOT A ZERO — rows that cleared every other filter but have NO measured market cap, so they cannot be asserted to sit under the stated ceiling. It does not mean those companies have no cap. Disclose the count if you publish a cap-bracketed framing. AN EMPTY uplistings ARRAY IS THE NORMAL, EXPECTED RESULT ON MOST DAYS — uplistings run roughly 6.6 per month across ALL market caps, so the large majority of days genuinely have none. It is NOT an error, NOT an outage, and NOT evidence that uplisting activity has stopped. Publish nothing rather than publishing an empty-list framing.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "dayOffset": { "type": "integer", "default": 0, "maximum": 30, "minimum": -30, "description": "Day offset from the US market day (default 0 = today). Negative values read past days. A positive value returns nothing — there is no forward-looking uplisting data." }, "maxMarketCap": { "type": "number", "default": 300000000, "description": "Exclusive market-cap ceiling in USD (default 300000000). Rows with NO measured market cap are excluded and counted in capUnknownCount, never assumed to be under the ceiling.", "exclusiveMinimum": 0 } }, "additionalProperties": false }
arguments 20 lines
get_dilution_coverage auth-required 3d ago
Cheap pre-check (1 credit) for whether Signal8 holds a dilution analysis for a company: coverage status (verified / stale / not_covered), extraction state (never_extracted / running / failed / timeout / complete), last attempt and last success timestamps, the coverage tier, and whether the ticker is out of scope. CALL THIS FIRST before the expensive dilution tools — it answers "is there anything to fetch" for a fraction of the cost. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status. Coverage is partial: `not_covered` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no dilution and different from an outage (an outage is a 5xx). Never report a company as having no dilution on the strength of an unavailable response. An `outOfScope` ticker is a statement about the PRODUCT (dilution analysis covers small-cap issuers only) and says NOTHING about that company's dilution — do not report a large-cap as having no dilution because it is out of scope. A `stale` status means the analysis is real but predates recent filings. NULL, absent or withheld means NOT MEASURED — it NEVER means "no dilution", "no warrants", "no shelf" or zero. A numeric 0 is a MEASURED zero and defeats a null check, so decide from the accompanying availability/withheld/reason field, never from the value itself. If a figure is absent, say it was not measured; do not describe the company as having none of that instrument. Included in Signal8 Pro — without it the call returns 403 with code FEATURE_NOT_AVAILABLE and `requiredTier: "pro"`. That is a subscription-tier upgrade, not an add-on purchase; there is no separate add-on to buy.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"MNTS\", \"VNRX\")" } }, "additionalProperties": false }
arguments 14 lines

get_politician_late_filers auth-required 19h ago

Get STOCK Act late filing violations -- trades where the disclosure was filed more than 45 days after the transaction (a legal violation). Sorted by filing delay descending. Useful for identifying politicians with poor disclosure compliance.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "days": {
      "type": "number",
      "maximum": 730,
      "minimum": 1,
      "description": "Lookback period in days (default: 180, max: 730)"
    },
    "limit": {
      "type": "number",
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum results to return (default: 10, max: 50)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 24 lines

get_politician_donor_summary reads auth-required 19h ago
Get a bundled donor summary for a single politician: cycle totals (raised, spent, cash-on-hand, debts), donor count, top 10 individual donors, and top 10 PAC donors — all in one response. This is the right tool for "who funds <politician>" or "biggest donors to <politician>" style questions. For the full paginated list, use get_politician_donors.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "slug" ], "properties": { "slug": { "type": "string", "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\")" }, "cycle": { "type": "string", "pattern": "^\\d{4}$", "description": "Election cycle as 4-digit year (e.g. \"2024\"). Defaults to most recent cycle." } }, "additionalProperties": false }
arguments 19 lines
get_insiders auth-required 2d ago
Get insider trading discovery data for a company. Includes cluster buying detection, entity-centric insider model, and Form 4 cross-referencing. Shows insider transactions with buying/selling patterns that may signal upcoming corporate actions. Each insider includes a transactionBreakdown by SEC code (P=Purchase, S=Sale, F=Tax withholding, M=Exercise, G=Gift, A=Award), netSharesSold12m (code S only, excludes tax withholding), and isPrimarilyTaxWithholding flag to distinguish routine RSU vesting from discretionary selling. Supports pagination with limit/offset.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "limit": { "type": "integer", "maximum": 100, "minimum": 1, "description": "Maximum results to return (default: 20, max: 100)" }, "offset": { "type": "integer", "minimum": 0, "description": "Offset for pagination (default: 0)" }, "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., AAPL, TSLA)" } }, "additionalProperties": false }
arguments 25 lines
get_policy_trade_overlap auth-required 26h ago
For a single politician, list trades that occurred within a window of days before or after the signing of an executive order affecting the traded sector. Each row contains the trade, the nearestEvent, daysDelta (negative = traded N days before EO signing, positive = traded N days after), matchBasis, and matchCount, plus a summary (totalFlags, totalEstimatedUsd, topSector). Defaults to trades 1-14 days BEFORE signing; same-day trades are always excluded (intraday ordering is unknowable). Executive-branch (exec-) slugs return REAL data here: both congressional and executive trade sources feed the overlap computation. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "slug" ], "properties": { "slug": { "type": "string", "description": "Politician URL slug — congressional (\"sen-nancy-pelosi\", \"rep-...\") or executive branch (\"exec-...\")" }, "limit": { "type": "number", "maximum": 100, "minimum": 1, "description": "Maximum results to return (default: 50, max: 100)" }, "offset": { "type": "number", "minimum": 0, "description": "Pagination offset (default: 0)" }, "window": { "type": "number", "maximum": 30, "minimum": 1, "description": "Match window in days around the EO signing date (default: 14, max: 30)" }, "direction": { "enum": [ "before", "after", "both" ], "type": "string", "description": "Which side of the signing date to include: 'before' (default), 'after', or 'both'" } }, "additionalProperties": false }
arguments 40 lines

get_clinical_trials auth-required 3d ago

Get clinical trial data for a biotech/pharma company including trial phase, status, conditions, and interventions. Use when analyzing a biotech company's pipeline or upcoming catalyst events.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum number of clinical trials to return (1-50). Defaults to 10."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"MRNA\", \"PFE\")"
    }
  },
  "additionalProperties": false
}

arguments 20 lines

get_accumulation_snapshot reads auth-required 5d ago
Get intraday accumulation/distribution metrics for the current or most recent trading session. Returns session VWAP, volume above/below VWAP, estimated buy vs sell volume (tick rule), volume by time period (morning/midday/afternoon), and comparison to average volume. Use for assessing real-time buying/selling pressure.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol" } }, "additionalProperties": false }
arguments 14 lines

get_politician_recent_trades auth-required 11h ago

Get recent STOCK Act trades across all politicians. Each trade includes the senator info, ticker, transaction type, amount, and filing delay. Filter by direction (buy/sell) and lookback period. Useful for monitoring current congressional trading activity.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "days": {
      "type": "number",
      "maximum": 365,
      "minimum": 1,
      "description": "Lookback period in days (default: 30, max: 365)"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 50, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    },
    "direction": {
      "enum": [
        "buy",
        "sell"
      ],
      "type": "string",
      "description": "Filter by direction: 'buy' or 'sell'"
    }
  },
  "additionalProperties": false
}

arguments 32 lines

get_politicians reads auth-required 11h ago

List and search congressional politicians who have STOCK Act trading disclosures. Filter by party (D/R/I), state, or search by name. Returns paginated results with trade counts, last trade date, and net buy/sell direction over the trailing 12 months.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 10, max: 100)"
    },
    "party": {
      "enum": [
        "D",
        "R",
        "I"
      ],
      "type": "string",
      "description": "Filter by party: 'D' (Democrat), 'R' (Republican), 'I' (Independent)"
    },
    "state": {
      "type": "string",
      "maxLength": 2,
      "description": "Filter by US state (2-letter code, e.g. \"CA\", \"TX\")"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    },
    "search": {
      "type": "string",
      "description": "Search by politician name (partial match)"
    },
    "sortBy": {
      "enum": [
        "name",
        "last_trade",
        "total_trades"
      ],
      "type": "string",
      "description": "Sort field (default: 'last_trade')"
    },
    "sortOrder": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction (default: 'desc')"
    }
  },
  "additionalProperties": false
}

arguments 53 lines

get_dilution_risk auth-required 3d ago
Get the dilution pressure score (5 credits): a 0-100 score with its seven-component breakdown (shelf capacity, ATM/equity-line capacity, warrants in the money, convertible proximity, cash burn urgency, historical dilution, toxic financing), plus four risk levels — overall, offering ability, overhead supply, cash need. 🔴 THE SCORE IS MEANINGLESS WITHOUT `scoreMaxMeasured` AND `scoreWithheldReason`: components whose inputs could not be measured are DROPPED FROM THE DENOMINATOR, so a score of 58 may be 58 out of 85, not out of 100. Always report it as `score`/`scoreMaxMeasured` and name the excluded components from `scoreUnmeasuredComponents`; NEVER rescale it to /100, and never treat a low numerator as a low-risk finding. A non-null `scoreWithheldReason` (e.g. `unmeasured_score_components`, `unquantified_live_instruments`, `no_dilution_snapshot`) means there is NO score — not a score of zero. 🔴 WHEN `levelsAreLowerBound` IS TRUE THE LEVELS ARE FLOORS, NOT MEASUREMENTS: a "medium" then means AT LEAST medium, because instruments that could not be quantified were excluded from the sum. State it as a lower bound; presenting a floor as a measurement understates the risk of a named issuer. The floor applies to `overall` and `overheadSupply`; `levelsAreLowerBound` is always present and `levelsLowerBoundReason` says why. A null `overall` with a non-null `levelsWithheldReason` is WITHHELD — not low. `offeringAbility` is a capability profile, not pressure today: a live ATM/equity line whose drawable capacity is a MEASURED $0 (e.g. clamped by the I.B.6 cap) reads medium, while the score prices the $0 — do not describe that as the company being unable to raise. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status. Coverage is partial: `not_covered` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no dilution and different from an outage (an outage is a 5xx). Never report a company as having no dilution on the strength of an unavailable response. NULL, absent or withheld means NOT MEASURED — it NEVER means "no dilution", "no warrants", "no shelf" or zero. A numeric 0 is a MEASURED zero and defeats a null check, so decide from the accompanying availability/withheld/reason field, never from the value itself. If a figure is absent, say it was not measured; do not describe the company as having none of that instrument. Figures are as of `meta.asOfDate`, from filings read through `meta.filingsThrough` — a stale as-of date means the answer predates anything filed since, not that nothing has happened. Share counts are rebased onto a single split basis; a row that cannot be rebased is omitted and counted rather than published on a mixed basis. Included in Signal8 Pro — without it the call returns 403 with code FEATURE_NOT_AVAILABLE and `requiredTier: "pro"`. That is a subscription-tier upgrade, not an add-on purchase; there is no separate add-on to buy.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"MNTS\", \"VNRX\")" } }, "additionalProperties": false }
arguments 14 lines
get_float_history reads auth-required 2d ago
Get the POINT-IN-TIME float history for a company — one sample per trade date (float shares, shares outstanding, and the source the float came from). Use to answer "what was the float on date X" or to see float expand across a dilution event, which the latest-only get_float cannot show. IMPORTANT: this series is FORWARD-ONLY — it began accumulating in mid-2026 and is NOT backfilled, so early/absent history is expected and an empty rows array is a normal result, not an error or a delisted company. Each row carries "source" ("polygon" | "computed" | "sec_10k" | "fmp") because float quality varies by provider — weigh rows accordingly rather than treating all sources as equal. Charged per your API tier.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "days": { "type": "integer", "description": "Lookback window in trade dates. Default 90, clamped to 1-730." }, "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 18 lines

get_historical_prices auth-required 2d ago

Get historical OHLCV price candles for a stock. Supports daily, weekly, and monthly resolutions. Use period shorthand (1M, 3M, 6M, 1Y, 5Y, ALL) or explicit from/to UNIX timestamps. Default is 1 year of daily candles. Use this to compute price returns, chart price history, or analyze volume trends over time.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "to": {
      "type": "integer",
      "description": "End date as UNIX timestamp (overrides period)"
    },
    "from": {
      "type": "integer",
      "description": "Start date as UNIX timestamp (overrides period)"
    },
    "period": {
      "enum": [
        "1M",
        "3M",
        "6M",
        "1Y",
        "5Y",
        "ALL"
      ],
      "type": "string",
      "description": "Lookback period shorthand (default: \"1Y\"). Ignored if from/to are provided."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    },
    "resolution": {
      "enum": [
        "D",
        "W",
        "M"
      ],
      "type": "string",
      "description": "Candle resolution: \"D\" (daily, default), \"W\" (weekly), \"M\" (monthly)"
    }
  },
  "additionalProperties": false
}

arguments 43 lines

get_dilution_instruments auth-required 3d ago
Get ONE instrument family's rows (10 credits) with per-field SEC citations — each figure carries the accession number, filing date and the verbatim quoted sentence it was read from, so every number can be traced to a filing. Families: warrants, convertibles, preferred, shelfs, atms, elocs, s1_offerings, equity_plans, exchangeables, recent_offerings. One family per call — request the families you actually need rather than sweeping all ten. 🔴 ROW-LEVEL WITHHOLDING: `withheldRows` / `withheldRowCount` mean specific rows could NOT be verified and were blanked, so every family total in the response is a LOWER BOUND, not a complete figure. Say so — presenting a holed total as complete understates a named issuer's dilution. An empty rows array on a covered company is a measured "none found in the filings read"; an unavailable response is not. 🔴 STATUS `disputed` (warrants / convertibles / preferred / exchangeables) means the ISSUER'S LATEST FILING DISPUTES THE INSTRUMENT'S EXISTENCE OR VALIDITY and its financial statements do not carry it: the row is SHOWN and EXCLUDED from every total (`summary.disputedInstrumentCount` / `disputedInstrumentShares`) — report it as a disputed claim against the company, never as outstanding and never as retired. 🔴 `contingencyTrigger: "event_of_default"` marks an instrument that converts ONLY on an event of default; it is still outstanding and still COUNTED — say "converts only on an event of default", never that it is not dilutive. 🔴 ON `convertibles` ROWS `principalBasis` says HOW `principalOutstanding` was arrived at: `aggregate_only` / `fair_value_only` / `conflict` / `undisclosed_since_issue` mean the current balance is NOT MEASURED (principalOutstanding is null) — report `principalOriginal` as the ORIGINAL principal with the balance undisclosed, never as the current balance. `conversionBasis: "formula_unanchored"` means the conversion mechanism is disclosed but no price input exists, so no share count can be computed — the row is unquantified, not zero. 🔴 ON `warrants` ROWS a null `sharesUnderlying` beside `aggregateExerciseValueDollars` / `exercisePriceFloor` / `sharesCeilingAsFiled` is a DOLLAR-DENOMINATED or capped warrant: `summary.warrantSharesCeiling` is the MOST such rows could deliver — a ceiling (`≤`), never a count, never in `potentialNewShares`. `warrantCount` is a count of WARRANTS, not shares. 🔴 ON `shelfs` ROWS `babyShelfCurrentCapacityDollars` IS A STORED, DATED FIGURE, NOT TODAY'S HEADROOM: it was struck at extraction time from a float value that may be the issuer's own cover recital months old, less a takedown pool anchored to the corpus window. Always report it WITH its `babyShelfCapacityAsOf` date (`babyShelfCapacityBasis` says which float it rests on); a null date means undated, never current. For the raisable-now figure recomputed from the live float and 60-day-high price call `get_baby_shelf_capacity` — never present the stored figure as current. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status. Coverage is partial: `not_covered` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no dilution and different from an outage (an outage is a 5xx). Never report a company as having no dilution on the strength of an unavailable response. NULL, absent or withheld means NOT MEASURED — it NEVER means "no dilution", "no warrants", "no shelf" or zero. A numeric 0 is a MEASURED zero and defeats a null check, so decide from the accompanying availability/withheld/reason field, never from the value itself. If a figure is absent, say it was not measured; do not describe the company as having none of that instrument. Figures are as of `meta.asOfDate`, from filings read through `meta.filingsThrough` — a stale as-of date means the answer predates anything filed since, not that nothing has happened. Share counts are rebased onto a single split basis; a row that cannot be rebased is omitted and counted rather than published on a mixed basis. Included in Signal8 Pro — without it the call returns 403 with code FEATURE_NOT_AVAILABLE and `requiredTier: "pro"`. That is a subscription-tier upgrade, not an add-on purchase; there is no separate add-on to buy.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker", "family" ], "properties": { "family": { "enum": [ "warrants", "convertibles", "preferred", "shelfs", "atms", "elocs", "s1_offerings", "equity_plans", "exchangeables", "recent_offerings" ], "type": "string", "description": "Instrument family to return. One of: warrants, convertibles, preferred, shelfs, atms, elocs, s1_offerings, equity_plans, exchangeables, recent_offerings." }, "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"MNTS\", \"VNRX\")" } }, "additionalProperties": false }
arguments 31 lines

get_market_metrics reads auth-required 36h ago

Get computed market metrics for a company including volume averages, volatility, SMAs, and trend direction. Use when analyzing trading patterns or technical indicators beyond the basic quote.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

get_learn_guide auth-required 3d ago

Get one Signal8 Academy guide as Markdown, by track and slug (both come from search_learn_guides, or from a signal8.ai/learn/<track>/<slug> URL). Returns title, description, section, lastVerified, the public url, the full Markdown body (links already rewritten to absolute signal8.ai URLs), the related guides, the glossary terms it uses (with one-line definitions) and its SEC sources (accession numbers). Guides use hypothetical examples ("Company X") unless a source is cited; they are education, not advice about any named company. When you quote or paraphrase a guide, cite its url. Works without an API key.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "track",
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[\\da-z]+(?:-[\\da-z]+)*$",
      "description": "Guide slug (kebab-case), e.g. \"what-is-dilution\", \"s1-vs-s3-baby-shelf\", \"form-4-codes\"."
    },
    "track": {
      "enum": [
        "dilution",
        "filings",
        "market-structure",
        "signal8"
      ],
      "type": "string",
      "description": "Academy track: \"dilution\" (dilution & toxic financing), \"filings\" (reading SEC filings), \"market-structure\" (halts, short interest, float, splits, congressional trading), or \"signal8\" (using Signal8, its API and this MCP server)."
    }
  },
  "additionalProperties": false
}

arguments 26 lines

get_ownership auth-required 33h ago
Get unified ownership breakdown for a company combining Form 4 insider holdings, 13F institutional holdings, and 13D/13G activist positions. All entities are resolved across the three SEC form types into a single view with counterparty resolution. The allHolders array is paginated via limit/offset (default 100). Aggregate stats (institutional/insider/beneficial totals and percentages, plus the `retail` residual) are always included in full. `retail` is the UNATTRIBUTED residual: shares no filing accounts for, which includes recent offering buyers and acquisition holders who have not filed as well as retail investors — an upper bound on retail, never a retail count. When `retail.reason` is `filed_exceeds_outstanding` the residual is withheld (null) because the counted filings exceed the shares outstanding. 🔴 A bucket (`institutional` / `insider` / `beneficial`) whose shares exceed the shares outstanding by more than a 2% timing tolerance has its `percentOfOutstanding` WITHHELD — null, with `percentWithheldReason: "ownership_exceeds_outstanding"` — and its `totalShares` still published: the percent would not be a measurement (filings on another share basis such as ordinary shares against an ADS count, another class reported under this one, shares lent and reported by both lender and buyer, or filings dated before a buyback or redemption). Report the share figure and the reason; NEVER present such a bucket as 100%, as 0%, or as any percent. When any bucket is withheld, `retail.reason` is `ownership_exceeds_outstanding` and `filedSumPercent` is absent. A null percent with NO `percentWithheldReason` means no share count was available — not measured for a different reason. `sharesOutstanding` is the denominator of every percentage and is DATED: `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` ("stated" = the issuer's statement date; "checked" = when the figure was last confirmed against a vendor; "none" = date not recorded) and `sharesOutstandingSource` (a vendor-free label). Never present a count without its date. `beneficial.staleShares` / `stalePercentOfOutstanding` / `staleHolderCount` is a MEASURED SUBSET of the counted 5%+ total resting on 13D/G schedules >= 24 months old with no newer reaffirming filing by the same holder family — not a deduction; the total still includes it. A row's `reaffirmedBy` names the newer family filing; `staleFiling.ageMonths` marks a counted row with none. `stalePercentOfOutstanding: null` is not measurable (no share count), never zero.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "limit": { "type": "integer", "maximum": 100, "minimum": 1, "description": "Maximum holders to return in allHolders (default: 100, max: 100)" }, "offset": { "type": "integer", "minimum": 0, "description": "Offset for pagination (default: 0)" }, "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., AAPL, TSLA)" } }, "additionalProperties": false }
arguments 25 lines
get_market_breadth auth-required 33h ago
Get market breadth aggregates (advance/decline counts and ratio, percent of constituents above their 50DMA and 200DMA, and counts of new 52-week highs/lows) for a chosen universe (sp500, ndx, or all). Use to add market-state context to commentary, tweets, or daily summaries.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "universe": { "enum": [ "sp500", "ndx", "all" ], "type": "string", "default": "sp500", "description": "Universe to aggregate over: sp500, ndx, or all (default sp500)" } }, "additionalProperties": false }
arguments 17 lines

get_news auth-required 33h ago

Get recent news articles and press releases for a company. Use when researching recent developments, catalysts, or sentiment drivers. Set pressReleasesOnly to return only official company press releases.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 20,
      "minimum": 1,
      "description": "Maximum number of articles to return (1-20). Defaults to 10."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    },
    "pressReleasesOnly": {
      "type": "boolean",
      "description": "When true, return only official company press releases (exclude third-party news)."
    }
  },
  "additionalProperties": false
}

arguments 24 lines

get_institution_position_changes auth-required 40h ago

Diff two quarterly 13F snapshots for an institution. Compares the latest filing against the prior quarter and returns per-position changes: new positions, increased, decreased, and exited. Sorted by |changePercent| descending so the biggest moves surface first. Much more efficient than calling get_institution_holdings twice and diffing client-side — the server computes everything in a single SQL query.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "cik"
  ],
  "properties": {
    "cik": {
      "type": "string",
      "description": "SEC CIK number of the institution (e.g., \"0001067983\" for Berkshire Hathaway)"
    },
    "limit": {
      "type": "integer",
      "default": 50,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 50, max: 100)"
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 26 lines

get_institutions auth-required 40h ago

Get institutional holders (13F filers) for a company. Returns institutions that hold positions in this stock based on SEC 13F filings, including shares held, portfolio weight, and filing dates. Useful for understanding institutional ownership concentration.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 20, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., AAPL, TSLA)"
    }
  },
  "additionalProperties": false
}

arguments 25 lines

get_politician_votes auth-required 11h ago

Get voting records for a politician by slug. Returns congressional votes with bill info, position (Yea/Nay/Not Voting), and result. Useful for assessing alignment between a politician's votes and their trading positions. Requires Bioguide ID resolution.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\")"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 10, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 25 lines

get_price_target auth-required 4h ago

Get analyst price target data for a ticker. By default returns the consensus / split-adjusted average price target. Set list=true to return the full per-analyst list of individual price targets instead.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "list": {
      "type": "boolean",
      "description": "false/omitted = consensus price target; true = per-analyst price-target list"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results when list=true (default: 50, max: 100). Ignored for consensus."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 24 lines

get_float auth-required 2d ago
Get float data for a company: floatShares, floatDefinition, as-of date, and — when the headline float is WITHHELD — the bounds and labelled stand-ins that replace it. Use when analyzing share supply. The share count the float was judged against (`basisSharesOutstanding`) is DATED: `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` ("stated" / "checked" / "none" = date not recorded) and a vendor-free `sharesOutstandingSource`; never present the count without its date. CARDINAL RULE: null / absent / withheld means NOT MEASURED — never "no float", never "no restricted shares", never zero. A numeric 0 is a MEASURED zero and passes a null check, so decide from the reason/marker field ("floatWithheldReason", "restrictedBlockCount", "provenance", "direction"), never from the value alone. IMPORTANT: check "floatDefinition" to know which float you are reading — "tradeable" (shares outstanding minus affiliates minus restricted/unregistered blocks: what can actually reach the tape; used on filing-derived dilution-snapshot tickers), "non_affiliate" (the SEC I.B.6 figure, which INCLUDES restricted shares held by non-affiliates — not what a trader means by float), "non_affiliate_estimate" (approximated from ownership filings), or "free_float" (vendor methodology). TODAY "floatDefinition" and "source" are only present on dilution-snapshot results: a vendor-sourced float arrives with neither (just floatShares, asOfDate, floatEstimated) because vendors are not named — read an ABSENT floatDefinition as "not a filing-derived tradeable float" and do not assume it is tradeable. On snapshot tickers "nonAffiliateFloatShares" carries the SEC I.B.6 figure separately — it is the ONLY correct input to baby-shelf / I.B.6 shelf-capacity math; never use the tradeable float there, and never present the non-affiliate figure as tradeable supply. floatShares:null with "floatWithheldReason" set ("restricted_blocks_unnetted" | "stated_figure_impossible" | "affiliate_basis_stale" | "affiliate_figure_declined" | "affiliate_unreconciled" | "share_count_unavailable" | "split_post_dates_basis" | "split_unconfirmed" | "snapshot_float_unconfirmed" | "refusal_evaluation_failed") means the figure was deliberately WITHHELD by the snapshot AND no lower tier could answer — do not substitute a vendor float of your own. Since 2026-09-29 a snapshot that withheld its float FALLS THROUGH: when a lower tier can answer, "source" names that tier (computed / sec-10k / polygon / fmp), "floatShares" is ITS figure under ITS definition, and "snapshotFloatWithheldReason" carries the snapshot's reason as context ("the filing-derived snapshot could not state a float; showing <source>"). Read that field as provenance, never as a second refusal. 🔴 SINCE 2026-10-03 THE SNAPSHOT FIGURE ALWAYS HEADLINES: when the snapshot carries ANY figure — "floatEstimate" (~ point / <= ceiling / >= floor), "tradeableFloatCeiling", or an "affiliateBasis" range — "floatShares" stays null and THAT figure is the answer, with its label; a lower tier that also answered and passed the guard rides "otherSourceFloat" {floatShares, source, provenance:"other_source", floatDefinition, asOfDate} as a SECONDARY "other source" line — never the float, never arithmetic. A lower tier fills "floatShares" ONLY when the snapshot carries no figure at all. 🔴 SINCE 2026-10-04 A TRIVIAL CEILING IS NOT A FIGURE: a snapshot ceiling ("tradeableFloatCeiling", a "floatEstimate" with bound "ceiling", or an upper-only "affiliateBasis" range) at or above 99% of the share count says only "the float is at most every issued share" and is STRIPPED from the response (null), so the lower tier may headline under its own "source" with "snapshotFloatWithheldReason" as context (GELS: Polygon 5.12M, not "<= 11.18M" on 11.18M shares). Floors and point estimates are never stripped. EXCEPT (2026-10-08): a "floatEstimate" with rung "affiliate_sizing_estimate" carries a "reason" built from the filings' itemised insiders (e.g. "no reported insider holdings (4 affiliates at zero); 1 unreported: <name> (CFO, since <date>)") and "unsizedAffiliates" [{holder, role, since}]; it is KEPT even at the share count because the reason is a finding — quote the reason with the figure, and never present it as floatShares. Since 2026-10-01 that fall-through is GUARDED: a lower-tier figure dated before a split the snapshot names, or outside the snapshot's own floor / ceiling / point estimate, or (since 2026-10-08) COUNTED before share issuances the snapshot records totalling at least 10% of it, is REFUSED and the withheld envelope is served with "fallbackRefusal" {reason: "fallback_predates_split" | "fallback_predates_issuance" | "fallback_outside_snapshot_bounds", refusedSource, detail} beside the snapshot's "floatWithheldReason". The refused figure is NOT in the response and must not be fetched from a vendor to fill the gap — the detail says why no lower tier is shown either. A snapshot that stated a float never carries it. A withheld result may carry up to four stand-ins, each labelled IN the object; NONE is a float and NONE may be fed to a market cap, a percent-of-float, a short-interest ratio, a screen, a sort or a comparison: (1) "tradeableFloatCeiling" is an UPPER BOUND — the tradeable float is AT MOST this; render it with "<=" and nothing else (null = no bound stateable, never 0). (2) "affiliateBasis.floatLowerBound" / "floatUpperBound" are a RANGE the float lies in — "between X and Y"; each end is null independently when not measurable, so state the ends that exist as inequalities. This object also appears on PUBLISHED floats with both ends equal to floatShares — it is a bound only when floatShares is null. (3) "floatEstimate" is a BADGED ESTIMATE {shares, basis, direction, confidence}: "basis" is the itemised working (quote it), "direction" says which way it errs ("overstates" = the true float is at most shares; "understates" = at least; "unknown"), "confidence" describes the estimate, not a float. Since 2026-09-29 it is the SNAPSHOT FLOAT LADDER figure on any withheld snapshot ticker and may also carry "rung" ("non_affiliate_estimate" | "shares_outstanding_ceiling" | "rolled_forward_lower_bound" | "recital_rolled_forward_estimate" | "affiliate_sizing_estimate"), "bound" ("point" = about X, render "~X"; "ceiling" = AT MOST X, render "<= X"; "floor" = AT LEAST X, render ">= X") and "asOf"; a floor or ceiling is a BOUND, never a point value. null means no figure could be derived from the snapshot's structured fields. An estimate never becomes floatShares — present shares WITH basis and direction, never alone. Unrelated to the boolean "floatEstimated", which flags a published floatShares back-derived from a USD public-float disclosure. (4) "vendorFallback" is a third-party free-float figure {floatShares, provenance:"vendor", floatDefinition:"free_float", asOfDate, splitAdjusted} offered beside the withhold — NOT our number, NOT on the tradeable definition, already refused when our filings refute it. Present it as the vendor free float as of its own date, never in the "Float" slot. "restrictedShares":null means NOT MEASURED (a block exists whose size the filings do not state), NEVER zero; "restrictedBlockCount":0 is an answer, not an absence. "affiliateBasisStale" (with basisSpanDays/affiliateAnchorDate) labels a float whose affiliate table is materially older than its share count — the number itself is unchanged. "tradeableBasis":"convention_conservative" means the filings did not answer and a published convention resolved it — see "tradeableConvention" and do not present the figure as exact.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines
get_filing_exhibits auth-required 2d ago
List the readable exhibits (individual documents with stored text) within an SEC filing, by internal filing ID. Returns each exhibit's `id`, exhibit type, description, content size and sec_url. Use the `id` with get_exhibit_content. Excludes XML/XBRL. For the COMPLETE document list of a filing by accession number (including files with no stored text), use get_filing_documents.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "filingId" ], "properties": { "filingId": { "type": "string", "description": "Internal filing ID (numeric). Find via search_sec_filings." } }, "additionalProperties": false }
arguments 14 lines

get_financials reads auth-required 2d ago

Get income statement, balance sheet, and cash flow data for a company. Supports annual, quarterly, and trailing-twelve-month views. Use when analyzing revenue, profitability, debt, or cash position.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "type": {
      "enum": [
        "annual",
        "quarter",
        "ttm"
      ],
      "type": "string",
      "description": "Financial period type: \"annual\", \"quarter\", or \"ttm\" (trailing twelve months). Defaults to annual."
    },
    "limit": {
      "type": "integer",
      "maximum": 40,
      "minimum": 1,
      "description": "Maximum number of periods to return (1-40). Defaults to 8."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 29 lines

get_premarket_scanner reads auth-required 2h ago
Get the live premarket scanner board — the top premarket gainers and losers by absolute gap %, each row enriched with rvol, marketCap, floatShares (the measured POINT float, null on a withheld dilution-snapshot row — such a row then carries "floatEstimate" {shares, bound: "point" ~ | "ceiling" <= | "floor" >=, basis}, the snapshot's own labelled figure: present it as the number with its marker, never as a point, never in arithmetic; neither present = not measured, never 0. The low-float board admits on that figure's VALUE: a <= 8M ceiling is in, a >= 26M floor or a ~27M estimate is out), short interest, dilution, and news/catalyst flags. Off-hours it falls back to the last session. Use for premarket small-cap runner discovery. Set includePennyStocks=true to include sub-$1 names (separate cache slot). During the 04:00–09:30 ET premarket window rows also carry two LIVE volume metrics off the same live cumulative-volume numerator — they are DIFFERENT quantities and must not be substituted for each other or for "rvol": "liveRvol" = live cumulative premarket volume ÷ the trailing 30-session average cumulative volume AT THE SAME TIME OF MORNING (answers "is it busy for 08:00?"), with "liveRvolAsOf" giving the 15-minute ET grid cutoff that baseline came from — compare it to meta.asOf (when the live volume was sampled) to judge the small numerator/denominator time skew; and "premarketPaceRatio" = the same live volume ÷ the trailing 30-session average FULL premarket session (answers "what fraction of a typical entire premarket has it already done?", >1.0 = it already beat a normal premarket before the open). Both are null outside the premarket window or until the baseline is warm — never a fabricated ratio. Set universe="lowfloat" for the separate LOW-FLOAT board (float under 10M shares, no top-100 slice) instead of the default movers-derived board; that board is served from the aggregator snapshot and returns an empty rows array with a meta.reason when no snapshot is currently published (a normal off-hours state, not an error). Charged per your API tier.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "sort": { "enum": [ "gap", "rvol" ], "type": "string", "description": "Sort key for the low-float board: \"gap\" (default) or \"rvol\". Ignored for universe=\"default\", which is always gap-ranked." }, "universe": { "enum": [ "default", "lowfloat" ], "type": "string", "description": "Which board to return. \"default\" (the default) is the movers-derived top-100 board. \"lowfloat\" is the low-float board (float < 10M shares, no top-100 slice)." }, "includePennyStocks": { "type": "boolean", "description": "Include sub-$1 (penny) stocks in the results. Default false." } }, "additionalProperties": false }
arguments 27 lines

get_senate_trades_by_ticker reads auth-required 2h ago

Reverse lookup — find which politicians recently traded a given TICKER. Returns recent STOCK Act disclosures for that symbol with politician info, transaction type, and amount.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 50, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"NVDA\")"
    }
  },
  "additionalProperties": false
}

arguments 25 lines

get_short_interest auth-required 2h ago
Get short interest data for a company including short volume, short ratio, days to cover, and short percent of float. Use when analyzing bearish sentiment or potential short squeeze setups. 🔴 "shortInterestPercent" null ALWAYS carries "shortInterestPercentReason" (since 2026-10-04): "float_not_point" = the float on record is a snapshot BOUND or ESTIMATE (<= / >= / ~), and a percent-of-float is never struck off a bound — do NOT divide "shortInterest" by a ceiling, floor or estimate from get_float yourself; "float_unavailable" = no float of any kind on record; "short_pct_of_float_unreconciled" = a point float existed but the ratio was implausible or the split basis could not be resolved. A null percent is NOT MEASURED, never 0%.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines

screen_must_raise auth-required 2d ago

Find companies with imminent capital raise needs based on estimated cash runway. Defaults to companies with less than 6 months of cash remaining, sorted by urgency (lowest runway first). Useful for identifying distressed companies, imminent dilution situations, or potential financing catalysts. Runway is estimated from current burn rate.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 25, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "industry": {
      "type": "string",
      "description": "Filter by company industry (exact match, e.g. \"Biotechnology\", \"Software\")"
    },
    "maxMonths": {
      "type": "number",
      "maximum": 120,
      "minimum": 1,
      "description": "Maximum months of cash runway to filter by (default: 6)"
    }
  },
  "additionalProperties": false
}

arguments 28 lines

get_institution_derivatives auth-required 46h ago

Get an institution's reported PUT/CALL derivative positions by CIK (13F options), with pagination and sorting.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "cik"
  ],
  "properties": {
    "cik": {
      "type": "string",
      "description": "SEC CIK number of the institution"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 20)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "period": {
      "type": "string",
      "description": "Filing period to filter (e.g., \"2025-Q1\")"
    },
    "sortBy": {
      "type": "string",
      "description": "Column to sort by"
    },
    "sortOrder": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction"
    }
  },
  "additionalProperties": false
}

arguments 41 lines

screen_sec_filings_performance reads auth-required 2d ago

Analyze stock price performance after SEC filings. Returns individual filing records with pre-computed price returns at +1 day, +3 days, +7 days, and +30 days after the filing date, plus aggregate statistics (average, median, % negative, best, worst) across all matching filings. Combine company-level filters (sector, industry, market cap, exchange) with filing filters (form type, date range). Use this to answer questions like "how do biotech stocks perform after S-1 filings?" or "what is the average 7-day return after 8-K filings from companies under $500M market cap?".

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "page": {
      "type": "number",
      "minimum": 1,
      "description": "Page number (1-indexed, default: 1)"
    },
    "dateTo": {
      "type": "string",
      "description": "End date filter (YYYY-MM-DD)"
    },
    "sector": {
      "type": "string",
      "description": "Filter by sector (e.g., \"Healthcare\", \"Technology\", \"Financial Services\")"
    },
    "sortBy": {
      "enum": [
        "filing_date",
        "return_1d",
        "return_3d",
        "return_7d",
        "return_30d",
        "price_at_filing",
        "market_cap"
      ],
      "type": "string",
      "description": "Sort results by field (default: filing_date)"
    },
    "dateFrom": {
      "type": "string",
      "description": "Start date filter (YYYY-MM-DD)"
    },
    "exchange": {
      "type": "string",
      "description": "Filter by exchange (e.g., \"NASDAQ\", \"NYSE\", \"AMEX\")"
    },
    "industry": {
      "type": "string",
      "description": "Filter by industry (e.g., \"Biotechnology\", \"Software - Application\")"
    },
    "pageSize": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Results per page (default: 25, max: 100)"
    },
    "formTypes": {
      "type": "string",
      "description": "Comma-separated form types (e.g., \"S-1\", \"10-K,10-Q\", \"8-K\", \"S-3,424B5\")"
    },
    "sortOrder": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction (default: desc)"
    },
    "maxMarketCap": {
      "type": "number",
      "description": "Maximum market cap in USD"
    },
    "minMarketCap": {
      "type": "number",
      "description": "Minimum market cap in USD"
    }
  },
  "additionalProperties": false
}

arguments 71 lines

get_compliance auth-required 3d ago
Get full compliance rules evaluation for a company. Runs Nasdaq/NYSE deficiency detection, bid price tracking, and delinquent filing detection. Returns a comprehensive compliance picture combining SEC filing data, market data, and exchange rules. This is the most thorough compliance check available (25 credits).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., AAPL, TSLA)" } }, "additionalProperties": false }
arguments 14 lines
get_dilution_snapshot auth-required 2d ago
Get the dilution snapshot header (25 credits — the most expensive tool here): summary totals (potential new shares and their percentage of shares outstanding, per-family share totals), the cash position (anchor cash, monthly burn, estimated current cash, runway months), the float block, and `meta` provenance. DOES NOT INCLUDE INSTRUMENT ROWS — call get_dilution_instruments per family for those, and call get_dilution_coverage first to avoid paying 25 credits for an uncovered ticker. 🔴 FLOAT: a declined float block (`available: false`) carries the read tier's `reason` and, when the extraction recorded a veto, a `refusal` object whose `withheldReason` is the exact value get_float serves — read that, not the bare reason, when reconciling the two. 🔴 FLOAT: when `floatWithheldReason` is non-null the tradeable float was NOT MEASURED and must not be stated as a number. `tradeableFloatCeiling` is an UPPER BOUND ("at most X"), NOT a float — never feed it to a market capitalisation, a percent-of-float, a short-interest ratio or a comparison; render it with a ≤ and say it is a bound. 🔴 RUNWAY: a runway figure beside `goingConcern: true` is a contradiction the issuer's own auditors have flagged — report both, never the runway alone. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status. Coverage is partial: `not_covered` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no dilution and different from an outage (an outage is a 5xx). Never report a company as having no dilution on the strength of an unavailable response. NULL, absent or withheld means NOT MEASURED — it NEVER means "no dilution", "no warrants", "no shelf" or zero. A numeric 0 is a MEASURED zero and defeats a null check, so decide from the accompanying availability/withheld/reason field, never from the value itself. If a figure is absent, say it was not measured; do not describe the company as having none of that instrument. Figures are as of `meta.asOfDate`, from filings read through `meta.filingsThrough` — a stale as-of date means the answer predates anything filed since, not that nothing has happened. Share counts are rebased onto a single split basis; a row that cannot be rebased is omitted and counted rather than published on a mixed basis. Included in Signal8 Pro — without it the call returns 403 with code FEATURE_NOT_AVAILABLE and `requiredTier: "pro"`. That is a subscription-tier upgrade, not an add-on purchase; there is no separate add-on to buy.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"MNTS\", \"VNRX\")" } }, "additionalProperties": false }
arguments 14 lines
get_split_history auth-required 4m ago
Get stock split history for a company including forward and reverse splits with dates, ratios, type classification, and cumulative 2-year reverse split ratio. Relevant for NASDAQ/NYSE minimum bid-price compliance (1:250 cumulative reverse-split cap). IMPORTANT: `cumulativeReverseSplitRatio2yr` is null when it CANNOT BE STATED, which is NOT the same as no reverse splits — read `cumulativeWithheldReason` to tell them apart. `unconfirmed_splits_in_window` means at least one in-window reverse split is evidenced by only one source, so no cumulative is defensible: the confirmed splits alone would understate it, and understating a cumulative can put an issuer that breaches the 1:250 cap under it. Each row also carries `confirmed`; a `confirmed: false` split appears only in the announcement calendar, which retains every announcement and retracts none, so it is usually an amended or superseded announcement and occasionally a real split the effected-splits ledger missed. Both are returned. `ratioDisplay` and `type` are likewise null for a ratio whose exact factor cannot be determined.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., AAPL, TSLA)" } }, "additionalProperties": false }
arguments 14 lines

get_filing_calendar auth-required 3d ago

Get the forward-looking 10-K / 10-Q SEC filing-deadline calendar within a date window. Optionally restrict to a universe (sp500/ndx/dji/all) and/or a list of form types (default both 10-K and 10-Q).

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "End date inclusive (YYYY-MM-DD, default today + 45d)"
    },
    "from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Start date inclusive (YYYY-MM-DD, default today)"
    },
    "universe": {
      "enum": [
        "sp500",
        "ndx",
        "dji",
        "all"
      ],
      "type": "string",
      "description": "Optional index-universe filter (default \"all\")"
    },
    "formTypes": {
      "type": "array",
      "items": {
        "enum": [
          "10-K",
          "10-Q"
        ],
        "type": "string"
      },
      "description": "Optional SEC form types subset, e.g. [\"10-Q\"]"
    }
  },
  "additionalProperties": false
}

arguments 38 lines

search_sec_filings auth-required 2d ago

Search and list SEC filings by company (CIK), form type, date range, 8-K item codes and excluded forms, optionally with a full-text query over filing bodies, and optionally by COMPANY FACTS (market cap, float, price, sector, industry, exchange, company type, foreign issuer, recent IPO). Returns rows with `id` (the filingId for get_filing_document / get_filing_exhibits), cik, company_name, accession_number, form_type, filing_date, acceptedAt, primaryDocument, bodyStored and itemNumbers, plus `pagination` with `total`, `totalRelation` ("eq" exact; "gte" a lower bound when the count was cut at 10,000 — then `totalEstimate`, when present, is "about N"), `hasMore` and `nextCursor`. With `q`, unfiltered rows also carry `rank` and a `snippet`. Coverage: Signal8's archive of SEC EDGAR filings from October 2021 to today (about 3.9M filings), updated through the day; filings older than 2021-10 may be absent, so an empty result is not proof something was never filed. Some rows are record-only (bodyStored: false — metadata from the EDGAR index with no document body), so their text cannot be read here; open them at their sec.gov URL. Full-text `q`: Query syntax: unquoted words must ALL appear (any order, any distance); "quoted phrase" = exact wording; OR between alternatives (merger OR acquisition); -word or -"phrase" to exclude; w1 NEAR/10 w2 (also NEAR(10), or bare NEAR = within 10) = words close together; word* = prefix of 4+ letters (dilut* matches dilution, dilutive); $AAPL or a capitalised ticker scopes to that company; a form code (8-K, 10-Q, S-1), "item 5.02" / "8-K 1.05" and a bare year (2024) scope to that form / 8-K item / year. The archive's reading of the query (tickers/companies, forms, items, years, synonym expansions such as buyback → share repurchase) is returned in `meta.understanding` when stated; pass understand=false to search the words literally. Pass facets=true for `facets` — counts of matching filings per form type, per year and per 8-K item over the WHOLE result set (absent when not measured, e.g. on the Postgres engine — never read absence as zero). With sort=relevance, page 1 shows at most a few filings per company; meta.diversity { maxPerCompany, hidden: [{cik, count}] } names who has more — page on with nextCursor (not page) or filter by that CIK. SECTION SEARCH: section=risk_factors (or mdna, business, ex99 for press releases, item_5_02, …) restricts matching to those sections; rows then carry matchedSections and meta.sections confirms it — if meta.unsupported names section instead, the whole filing was searched. exhibitTypes=EX-10 keeps filings with a material contract (EX-99.1 press release, EX-97 clawback, …); facets=true adds facets.sections / facets.exhibitTypes when measured. An empty text result is only definitive when the response's `searchIndex.complete` is true — otherwise `notes` says the index has not confirmed full coverage of the range. The `ciks` filter matches the filing's own CIK: an insider Form 4 filed under the reporting owner's CIK is NOT returned for the issuer's CIK. COMPANY FILTERS (any of minMarketCap … recentIpo) are served from the archive only, using Signal8's company data: (1) only issuer-filed forms are searched (10-K, 10-Q, 8-K, S-1, S-3, 424B*, DEF 14A, 20-F, 6-K, …); third-party forms such as Form 4, 144 and SCHEDULE 13D/G are dropped and listed in `companyFilter.droppedForms`, and with no formTypes the default is 10-K, 10-Q, 8-K, S-1, S-3, DEF 14A, 20-F, 40-F, 6-K; (2) companies with no measured value for a filter are EXCLUDED, never assumed, and `companyFilter.unknown` counts them per filter; (3) unknown values (e.g. a misspelt sector) are a 400 that lists the allowed names; (4) when the archive cannot answer (e.g. a date range it does not fully hold yet) the call FAILS with code COMPANY_FILTER_NOT_APPLIED and a reason — it never returns unfiltered rows; (5) results are cursor-paged (use nextCursor, not page) and cannot be combined with acceptedFrom/acceptedTo/bodyStored; company-filtered text matches carry no snippet (use search_filing_text with the accessionNumber for the excerpt). The response then includes `companyFilter` (matchedCompanies, searchedCompanies, unknown, forms, droppedForms), `appliedFilters` and `notes`. To COUNT or list companies (not filings) by market cap etc., use screen_companies instead.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "q": {
      "type": "string",
      "maxLength": 500,
      "description": "Full-text query over filing bodies. Query syntax: unquoted words must ALL appear (any order, any distance); \"quoted phrase\" = exact wording; OR between alternatives (merger OR acquisition); -word or -\"phrase\" to exclude; w1 NEAR/10 w2 (also NEAR(10), or bare NEAR = within 10) = words close together; word* = prefix of 4+ letters (dilut* matches dilution, dilutive); $AAPL or a capitalised ticker scopes to that company; a form code (8-K, 10-Q, S-1), \"item 5.02\" / \"8-K 1.05\" and a bare year (2024) scope to that form / 8-K item / year. Example: '$AAPL \"share repurchase\" -\"no longer\"', 'cyber* NEAR/10 incident', 'item 5.02 resign*'."
    },
    "ciks": {
      "type": "string",
      "description": "Comma-separated CIK numbers to filter by (e.g., \"320193,1018724\"; zero-padded also accepted)"
    },
    "page": {
      "type": "number",
      "minimum": 1,
      "description": "Page number (1-indexed, default: 1). Ignored when cursor is set; not allowed with company filters."
    },
    "sort": {
      "enum": [
        "newest",
        "relevance"
      ],
      "type": "string",
      "description": "newest (by acceptance time, default) or relevance (requires q; best match first)"
    },
    "items": {
      "type": "string",
      "description": "Comma-separated 8-K item codes, ALL required (e.g., \"2.02,9.01\" = results + financial statements; \"5.02\" = officer/director changes; \"1.01\" = material agreements; \"3.01\" = delisting notice)."
    },
    "match": {
      "enum": [
        "exact",
        "stemmed"
      ],
      "type": "string",
      "description": "Word matching for q. exact = a word matches only itself (\"split\" does NOT match \"splits\" or \"splitting\") — EDGAR full-text search's own behaviour; stemmed = English word variations also match. Default when omitted: stemmed. The mode actually APPLIED is in the response's meta.matchMode (with meta.matchModeFallbackReason when it differs from the one asked for); meta.engine names the search engine. Ignored without q."
    },
    "cursor": {
      "type": "string",
      "description": "Opaque keyset cursor from a previous response's pagination.nextCursor. Prefer it over page for deep paging — it is stable while new filings arrive. Required for page 2+ of a company-filtered search."
    },
    "dateTo": {
      "type": "string",
      "description": "End filing date (YYYY-MM-DD)"
    },
    "facets": {
      "type": "boolean",
      "description": "true = also return `facets`: { forms, years, items }, each a list of { value, count } over the WHOLE result set (not just this page). Present only when the archive measured them (its OpenSearch engine); absent means NOT MEASURED, never zero. Default false."
    },
    "section": {
      "type": "string",
      "maxLength": 400,
      "description": "Restrict MATCHING to sections (comma-separated): business, risk_factors, cybersecurity, legal_proceedings, mdna, market_risk, controls (10-K/10-Q/20-F narrative items, by meaning — mdna is 10-K Item 7, 10-Q Part I Item 2 and 20-F Item 5), ex99 (press-release / EX-99.x exhibit text) and item_X_YY (the text under an 8-K item, e.g. item_5_02). Aliases: mda, risk, legal, cyber, press_release, 5.02. Unknown names are a 400. Needs q. Applied ONLY when the response's meta.sections names it — otherwise meta.unsupported says why (e.g. the archive index does not have sections yet) and matches may come from ANYWHERE in the filing."
    },
    "sectors": {
      "type": "string",
      "description": "COMPANY FILTER. Comma-separated sector names, exact and case-sensitive (e.g. \"Healthcare,Technology\"). An unknown name returns a 400 listing every valid sector."
    },
    "dateFrom": {
      "type": "string",
      "description": "Start filing date (YYYY-MM-DD). The archive starts 2021-10."
    },
    "maxFloat": {
      "type": "number",
      "minimum": 0,
      "description": "COMPANY FILTER. Maximum public float, in SHARES"
    },
    "maxPrice": {
      "type": "number",
      "minimum": 0,
      "description": "COMPANY FILTER. Maximum latest share price in USD"
    },
    "minFloat": {
      "type": "number",
      "minimum": 0,
      "description": "COMPANY FILTER. Minimum public float, in SHARES"
    },
    "minPrice": {
      "type": "number",
      "minimum": 0,
      "description": "COMPANY FILTER. Minimum latest share price in USD"
    },
    "pageSize": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Results per page (default: 25, max: 100)"
    },
    "exchanges": {
      "type": "string",
      "description": "COMPANY FILTER. Comma-separated listing venues: NASDAQ, NYSE, AMEX (= NYSE American), OTC"
    },
    "formTypes": {
      "type": "string",
      "description": "Comma-separated form types (e.g., \"10-K,10-Q,8-K,S-1,S-3,424B5\"). Exact match — list amendments (e.g. \"10-K/A\") explicitly. (With company filters, amendments are added automatically.)"
    },
    "recentIpo": {
      "type": "boolean",
      "description": "COMPANY FILTER. true = first listed within the last 365 days, with no evidence of earlier public status (renames and relistings are excluded). false is the same as omitting it."
    },
    "industries": {
      "type": "string",
      "description": "COMPANY FILTER. Comma-separated industry names, exact and case-sensitive (e.g. \"Biotechnology\"). An unknown name returns a 400 listing every valid industry."
    },
    "understand": {
      "type": "boolean",
      "description": "Query understanding (default true): the archive recognises tickers/$TICKER, company names, form codes, \"item N.NN\" and expands synonyms, reporting what it applied in meta.understanding. false = search the words literally (also disables synonym expansion). Ignored without q."
    },
    "companyTypes": {
      "type": "string",
      "description": "COMPANY FILTER. Comma-separated: operating, fund (registered funds/ETFs; adds N-CSR, N-CEN, N-PX, 485BPOS, 497/497K to the default forms), spac (blank-check companies)"
    },
    "excludeForms": {
      "type": "string",
      "description": "Comma-separated form types to EXCLUDE (e.g., \"4,13F-HR\"). Exact match."
    },
    "exhibitTypes": {
      "type": "string",
      "maxLength": 400,
      "description": "Keep only filings carrying ANY of these exhibit types (comma-separated): a family such as EX-10 (material contracts) matches every member (EX-10.1, EX-10.2…); an exact type such as EX-99.1 (usually the press release) only itself. Others: EX-97 clawback policy, EX-3 charter/bylaws, EX-4 instruments/warrants, EX-21 subsidiaries, EX-23 consents. \"10.1\" is accepted for EX-10.1. Listed in appliedFilters when the rows prove it; otherwise in ignoredFilters / meta.unsupported — treat the rows as unfiltered then."
    },
    "maxMarketCap": {
      "type": "number",
      "minimum": 0,
      "description": "COMPANY FILTER. Maximum market cap in USD, e.g. 300000000 for under $300M"
    },
    "minMarketCap": {
      "type": "number",
      "minimum": 0,
      "description": "COMPANY FILTER. Minimum market cap in USD (price × shares outstanding), e.g. 50000000 for $50M"
    },
    "foreignIssuer": {
      "type": "boolean",
      "description": "COMPANY FILTER. true = companies with foreign-issuer evidence (a 20-F, 40-F or 6-K seen, or an ADR listing); false = none seen since the evidence log began (companyFilter.foreignEvidenceSince)"
    },
    "matchedSections": {
      "type": "boolean",
      "description": "Per-row `matchedSections` (default true): the sections the text matched in. ABSENT on a row means not measured (index without sections), never \"matched nowhere\". Ignored without q."
    }
  },
  "additionalProperties": false
}

arguments 143 lines

get_etf_bundle reads auth-required 2d ago

Get aggregated ETF data in a single call. Combines multiple data sources (profile, holdings, sector weightings, country exposure, performance, news, analyst coverage, and comparables) into one response. Each data type is cached independently. Specify which types to include or omit to get above-the-fold defaults (profile, stock-summary, holdings, sectors).

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "ticker": {
      "type": "string",
      "description": "ETF ticker symbol (e.g., SPY, QQQ, IWM)"
    },
    "include": {
      "type": "string",
      "description": "Comma-separated list of data types to include. Available: profile,holdings,sectors,countries,stock-summary,performance,news,analyst,comparables. Default (when omitted): profile,stock-summary,holdings,sectors"
    }
  },
  "additionalProperties": false
}

arguments 18 lines

get_analyst_estimates auth-required 3d ago

Get forward analyst estimates for a company including EPS, revenue, EBITDA, and net income (low/high/avg) with analyst counts. Supports annual and quarterly periods. Use when analyzing forward earnings expectations or revenue forecasts.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 40,
      "minimum": 1,
      "description": "Maximum number of estimate periods to return (1-40). Defaults to 8."
    },
    "period": {
      "enum": [
        "annual",
        "quarter"
      ],
      "type": "string",
      "description": "Estimate period: \"annual\" (default) or \"quarter\"."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 28 lines

get_trading_halts reads auth-required 3d ago
List currently-active trading halts across NASDAQ/NYSE/AMEX (from the consolidated Nasdaq Trader halt feed). Each halt includes ticker, market, haltCode (T1/T2/T12/LUDP/H10/...), human-readable reason, haltedAt, and the scheduled resumptionAt when one is set. An EMPTY list is a normal state (no active halts right now), not an error. Halts are tradeable catalysts — use this to discover halted names, then get_quote for the frozen last price.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": {}, "additionalProperties": false }
arguments 6 lines
get_upcoming_reverse_splits auth-required 3d ago
Get reverse stock splits SCHEDULED to take effect within a day-offset window of the current US market day, for companies under a market-cap ceiling. Offsets are days from today on the US market calendar: fromOffset=1, toOffset=1 is tomorrow; fromOffset=1, toOffset=7 is the week ahead. Each row carries the ticker, company name, the exact vendor integers (splitFrom/splitTo), a pre-rendered ratio ("1-for-20"), the effective date, market cap, float in SHARES, and price. 🔴 floatShares: null MEANS NOT MEASURED OR WITHHELD — never zero, never "no float". Such rows ARE included (they have a valid market cap); floatWithheldReason says why. Do not substitute a float from another source. floatUnknownCount counts those null-float rows IN the list; it is not a withholding count (withheldCount is). price is on the SAME split basis as the market cap (null when it cannot be stated on one basis), so never pair it with a pre-split price from elsewhere. WHAT THIS IS: rows are splits scheduled AS OF NOW — not a guarantee that every split effective in the window is already known. The underlying stock_splits table has NO created_at column, so there is no way to measure when a row first appeared, and a split announced later will simply be missing. Describe results as "scheduled as of now", NEVER as "all of" or "every" reverse split. A scheduled split can also be postponed or cancelled after it is announced. 🔴 capUnknownCount IS A WITHHOLDING COUNT, NOT A ZERO. It counts rows that passed every other filter and were DELIBERATELY EXCLUDED because Signal8 has no measured market cap for them — typically real OTC microcaps. It does NOT mean those companies have no dilution, no split, or no cap; it means the cap was not measured, so they cannot be asserted to sit under the stated ceiling. If you publish a "under $Xm" framing and capUnknownCount is above zero, say that N further companies were withheld for unmeasured market cap — do not present the list as complete and do not describe the withheld rows at all. Funds, ETFs and sub-1.5x fractional ratio adjustments are already removed server-side; do not re-filter or re-derive the ratio. AN EMPTY splits ARRAY IS A NORMAL, COMMON RESULT — most single weekdays have no sub-cap reverse split scheduled at all. It is NOT an error, NOT a failure, and NOT evidence that reverse-split activity has stopped. Publish nothing rather than publishing an empty-list framing.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "toOffset": { "type": "integer", "default": 1, "maximum": 30, "minimum": -30, "description": "Window end, inclusive, as a day offset from the US market day (default 1). Use 7 with fromOffset 1 for the week ahead." }, "fromOffset": { "type": "integer", "default": 1, "maximum": 30, "minimum": -30, "description": "Window start as a day offset from the US market day (default 1 = tomorrow). Must be <= toOffset; an inverted window is rejected rather than silently returning an empty list." }, "maxMarketCap": { "type": "number", "default": 300000000, "description": "Exclusive market-cap ceiling in USD (default 300000000). Rows with NO measured market cap are excluded and counted in capUnknownCount, never assumed to be under the ceiling.", "exclusiveMinimum": 0 } }, "additionalProperties": false }
arguments 27 lines
get_dilution_performance reads auth-required 3d ago
Get post-offering price performance (10 credits): for each recorded offering, how the stock traded after it priced or closed. Use when assessing how the market has absorbed this issuer's past financings. 🔴 THIS IS HISTORY, NOT A FORECAST — it describes what happened after prior offerings and must never be phrased as an expectation, a price target or a prediction about a named company. An empty or unavailable series means no offering performance was measured, NOT that offerings had no effect and NOT that there were no offerings. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status. Coverage is partial: `not_covered` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no dilution and different from an outage (an outage is a 5xx). Never report a company as having no dilution on the strength of an unavailable response. NULL, absent or withheld means NOT MEASURED — it NEVER means "no dilution", "no warrants", "no shelf" or zero. A numeric 0 is a MEASURED zero and defeats a null check, so decide from the accompanying availability/withheld/reason field, never from the value itself. If a figure is absent, say it was not measured; do not describe the company as having none of that instrument. Figures are as of `meta.asOfDate`, from filings read through `meta.filingsThrough` — a stale as-of date means the answer predates anything filed since, not that nothing has happened. Share counts are rebased onto a single split basis; a row that cannot be rebased is omitted and counted rather than published on a mixed basis. Included in Signal8 Pro — without it the call returns 403 with code FEATURE_NOT_AVAILABLE and `requiredTier: "pro"`. That is a subscription-tier upgrade, not an add-on purchase; there is no separate add-on to buy.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"MNTS\", \"VNRX\")" } }, "additionalProperties": false }
arguments 14 lines

screen_sec_filings auth-required 2d ago

Screen SEC filings across all companies with company-level filters (sector, industry, market cap, exchange) combined with filing-level filters (form type, date range). Returns filings enriched with company metadata: ticker, sector, industry, exchange, market cap, and price. Use this to answer questions like "find all S-1 filings from biotech companies under $500M market cap" or "show me recent 8-K filings from Technology sector companies". This is the most powerful filing DISCOVERY tool for filings — use search_sec_filings only when you already know the specific CIK. This tool returns FILINGS, not a company universe: to enumerate or COUNT companies by market cap / price / float (e.g. "find all companies under $300M market cap"), use screen_companies instead — it supports minMarketCapComputed / maxMarketCapComputed and returns a real total COUNT. Searches only the 500 largest matching companies by market cap (narrow the filters to reach smaller ones); for float, price, company-type, foreign-issuer or recent-IPO filters, full-text queries, or 8-K item codes, use search_sec_filings with its company filters. Coverage: Signal8's archive of SEC EDGAR filings from October 2021 to today (about 3.9M filings), updated through the day; filings older than 2021-10 may be absent, so an empty result is not proof something was never filed. Some rows are record-only (bodyStored: false — metadata from the EDGAR index with no document body), so their text cannot be read here; open them at their sec.gov URL.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "page": {
      "type": "number",
      "minimum": 1,
      "description": "Page number (1-indexed, default: 1)"
    },
    "dateTo": {
      "type": "string",
      "description": "End date filter (YYYY-MM-DD)"
    },
    "sector": {
      "type": "string",
      "description": "Filter by sector (e.g., \"Healthcare\", \"Technology\", \"Financial Services\", \"Energy\")"
    },
    "sortBy": {
      "enum": [
        "filing_date",
        "form_type",
        "company_name"
      ],
      "type": "string",
      "description": "Sort results by field (default: filing_date). Ties are broken by filing id, so a given page is stable and reproducible for a fixed corpus."
    },
    "dateFrom": {
      "type": "string",
      "description": "Start date filter (YYYY-MM-DD)"
    },
    "exchange": {
      "type": "string",
      "description": "Filter by exchange (e.g., \"NASDAQ\", \"NYSE\", \"AMEX\")"
    },
    "industry": {
      "type": "string",
      "description": "Filter by industry (e.g., \"Biotechnology\", \"Software - Application\", \"Oil & Gas E&P\")"
    },
    "pageSize": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Results per page (default: 25, max: 100)"
    },
    "formTypes": {
      "type": "string",
      "description": "Comma-separated form types (e.g., \"S-1\", \"10-K,10-Q\", \"8-K\", \"S-3,424B5\")"
    },
    "sortOrder": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction (default: desc). Note that paging is offset-based over a corpus that is continuously ingesting new filings, so when walking many pages of a broad date range, newly-arrived filings can shift rows between pages; page on a closed dateFrom/dateTo window if you need an exhaustive, non-overlapping traversal."
    },
    "maxMarketCap": {
      "type": "number",
      "description": "Maximum market cap in USD (e.g., 500000000 for $500M)"
    },
    "minMarketCap": {
      "type": "number",
      "description": "Minimum market cap in USD (e.g., 1000000000 for $1B)"
    }
  },
  "additionalProperties": false
}

arguments 67 lines

get_economic_calendar auth-required 2d ago

Get scheduled macro/economic events (CPI, FOMC, jobs reports, GDP, etc.) between two dates. Optionally filter to a single country (ISO-3166 alpha-2, e.g. "US"). Defaults to US when omitted.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "from",
    "to"
  ],
  "properties": {
    "to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "End date inclusive (YYYY-MM-DD)"
    },
    "from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Start date inclusive (YYYY-MM-DD)"
    },
    "country": {
      "type": "string",
      "maxLength": 2,
      "minLength": 2,
      "description": "Optional ISO-3166 alpha-2 country code (e.g. \"US\", \"GB\", \"JP\")"
    }
  },
  "additionalProperties": false
}

arguments 27 lines

get_politician_pnl auth-required 15h ago
Get estimated realized + unrealized profit & loss for a politician. Methodology: each disclosed trade amount range is converted to an estimated share count using the stock's historical market price on the transaction date, then FIFO-matched on SHARES (realized = (sellPrice − buyPrice) × matched shares); open positions are marked to the current price for unrealized P&L. Works for Congress (sen-/rep-) AND executive branch (exec-) officials. Response includes a `totals` object (estimatedRealizedPnl, estimatedUnrealizedPnl, winRate, realizedTrades, tickersTraded) and a `byTicker[]` breakdown (estimatedShares, avgCostBasis, currentPrice, realizedPnl, unrealizedPnl, unrealizedPnlPercent) — byTicker open positions double as the estimated holdings. All figures are ESTIMATES (±25-40% from disclosure bracket width). Use get_politicians first to find the slug.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "slug" ], "properties": { "slug": { "type": "string", "description": "Politician URL slug — congressional (\"sen-nancy-pelosi\", \"rep-...\") or executive (\"exec-trump-donald-j\")" } }, "additionalProperties": false }
arguments 14 lines

get_politician_roles reads auth-required 15h ago

Get committee leadership roles (Chair, Ranking Member, etc.) for a politician. Use get_politicians first to find the slug.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\")"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

get_politician_transactions auth-required 15h ago

Get paginated trade history for a specific politician. Returns individual STOCK Act disclosures with ticker, transaction type, amount range, filing delay, and late filing flag. Includes a summary with total buys/sells and net value.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\")"
    },
    "type": {
      "enum": [
        "Purchase",
        "Sale"
      ],
      "type": "string",
      "description": "Filter by transaction type: 'Purchase' or 'Sale'"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 50, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    },
    "sortBy": {
      "enum": [
        "date",
        "amount"
      ],
      "type": "string",
      "description": "Sort field (default: 'date')"
    },
    "sortOrder": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction (default: 'desc')"
    }
  },
  "additionalProperties": false
}

arguments 49 lines

get_insider_cross_company auth-required 3d ago

Discover insider trading patterns across multiple companies. Unlike get_insiders which shows insider activity for a single ticker, this tool searches the entire universe to find insiders active across multiple companies, cluster buying patterns, and large transactions. Filter by insider name, transaction type, or date range. Cluster buying is computed only for purchases (transactionType P, the default). Useful for detecting coordinated insider activity, cross-company insider networks, and market-wide buying/selling trends.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 10, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "endDate": {
      "type": "string",
      "description": "End date, YYYY-MM-DD (e.g., \"2025-12-31\"); a full ISO timestamp is cut to its date."
    },
    "startDate": {
      "type": "string",
      "description": "Start date, YYYY-MM-DD (e.g., \"2025-01-01\"); a full ISO timestamp is cut to its date. Either bound may be given alone. An unparseable date is rejected, never ignored."
    },
    "insiderName": {
      "type": "string",
      "description": "Filter by insider name (partial match, e.g., \"Musk\" or \"Cohen\")"
    },
    "transactionType": {
      "type": "string",
      "description": "Filter by transaction type: \"P\" (purchase), \"S\" (sale), \"A\" (grant/award), \"M\" (conversion)"
    }
  },
  "additionalProperties": false
}

arguments 34 lines

get_dilution_history auth-required 3d ago
Get the historical shares-outstanding and cash series (10 credits) from SEC XBRL filings, with offering and material-cash-event overlays so an issuance or a raise can be lined up against the share count and cash balance around it. Use for share count growth over time and for the cash trajectory between financings. 🔴 THE HISTORICAL SHARE COUNTS ARE AS FILED — each point is on the split basis in force when it was reported and is NOT rebased to today, so a reverse split shows as a step and points either side of one are not directly comparable. Do not compute a growth rate across a split boundary from these raw points. A gap in the series means no filing supplied that period, not that the share count was unchanged. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status. Coverage is partial: `not_covered` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no dilution and different from an outage (an outage is a 5xx). Never report a company as having no dilution on the strength of an unavailable response. NULL, absent or withheld means NOT MEASURED — it NEVER means "no dilution", "no warrants", "no shelf" or zero. A numeric 0 is a MEASURED zero and defeats a null check, so decide from the accompanying availability/withheld/reason field, never from the value itself. If a figure is absent, say it was not measured; do not describe the company as having none of that instrument. Figures are as of `meta.asOfDate`, from filings read through `meta.filingsThrough` — a stale as-of date means the answer predates anything filed since, not that nothing has happened. Share counts are rebased onto a single split basis; a row that cannot be rebased is omitted and counted rather than published on a mixed basis. Included in Signal8 Pro — without it the call returns 403 with code FEATURE_NOT_AVAILABLE and `requiredTier: "pro"`. That is a subscription-tier upgrade, not an add-on purchase; there is no separate add-on to buy.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"MNTS\", \"VNRX\")" } }, "additionalProperties": false }
arguments 14 lines
get_stock_price_change auth-required 4d ago
Get percentage price changes for a stock across multiple timeframes: 1D, 5D, 1M, 3M, 6M, YTD, 1Y, 3Y, 5Y, 10Y, and MAX. Use this for quick "how much is it up/down" answers without fetching full candle data.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines

get_volume_profile reads auth-required 4d ago

Get volume distribution across price levels for a single trading day. Returns price buckets with volume, Point of Control (highest volume level), and Value Area (price range containing 70% of volume). Use for identifying support/resistance and high-volume price nodes.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker",
    "date"
  ],
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Trading day (YYYY-MM-DD)"
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    },
    "bucketSize": {
      "type": "number",
      "default": 1,
      "maximum": 100,
      "minimum": 0.01,
      "description": "Price bucket width in dollars (default $1.00)"
    }
  },
  "additionalProperties": false
}

arguments 27 lines

get_analyst_grades auth-required 3d ago

Get recent analyst grade actions (upgrades, downgrades, initiations) for a ticker, including the grading firm and previous/new grade.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum results to return (default: 10, max: 50)"
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 20 lines

get_baby_shelf_capacity auth-required 3d ago
Get the SEC Form S-3 General Instruction I.B.6 "baby shelf" capacity (10 credits): how much the issuer may raise off an effective shelf right now, given the one-third-of-public-float cap that applies below a $75M non-affiliate float, less the trailing-twelve-month takedowns already used. Returns the public float basis, the cap, takedowns counted and the remaining raisable amount. 🔴 `constraintApplies: false` means the cap does NOT bind (float at or above $75M, so primary offerings are unlimited under I.B.1) — it is NOT "no capacity" and NOT a favourable finding. 🔴 `constraintApplies: null` means the float value was NOT MEASURED (`suppressedReason: "float_unmeasured"`): neither the $75M test nor the cap could be answered — report it as not measured, NEVER as "the cap does not bind" and NEVER as unlimited. 🔴 A `suppressed` response means the figure is WITHHELD (for example an issuer that has been delisted to OTC and cannot run an S-3 primary at all) — report it as not stateable, NEVER as $0 raisable, which is a claim. 🔴 `suppressedReason: "ib6_pool_unattributed"` means the cap DOES apply but the trailing sales that would exhaust it could not all be attributed to an I.B.6 registration, so the derived $0 is a lower BOUND, not a measurement — `remainingCapacity` is null and `capacityUpperBoundDollars` is "at most", never a figure. A null remaining capacity is likewise not measured, not zero. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status. Coverage is partial: `not_covered` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no dilution and different from an outage (an outage is a 5xx). Never report a company as having no dilution on the strength of an unavailable response. NULL, absent or withheld means NOT MEASURED — it NEVER means "no dilution", "no warrants", "no shelf" or zero. A numeric 0 is a MEASURED zero and defeats a null check, so decide from the accompanying availability/withheld/reason field, never from the value itself. If a figure is absent, say it was not measured; do not describe the company as having none of that instrument. Figures are as of `meta.asOfDate`, from filings read through `meta.filingsThrough` — a stale as-of date means the answer predates anything filed since, not that nothing has happened. Share counts are rebased onto a single split basis; a row that cannot be rebased is omitted and counted rather than published on a mixed basis. Included in Signal8 Pro — without it the call returns 403 with code FEATURE_NOT_AVAILABLE and `requiredTier: "pro"`. That is a subscription-tier upgrade, not an add-on purchase; there is no separate add-on to buy.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"MNTS\", \"VNRX\")" } }, "additionalProperties": false }
arguments 14 lines
search_learn_guides auth-required 3d ago
Search the free Signal8 Academy (signal8.ai/learn) — plain-English guides that explain dilution (ATMs, warrants, convertibles, baby shelf, cash runway), how to read SEC filings (8-K items, Form 4 codes, 13D/13G, 424B5, S-1/S-3), market structure (halts, short interest, float, reverse splits, STOCK Act disclosures) and how to use Signal8. Returns matching guides with title, description, track, section, reading time, lastVerified date, the public url and the signal8:// resource uri — no bodies; call get_learn_guide for the full Markdown. Keyword match: every query word must appear somewhere in the guide; title hits rank highest. An empty query lists every guide (optionally one track) in reading order. Use this to ground an explanation of a concept the user asked about, or to cite a guide alongside data from the dilution / filing tools. Works without an API key. An empty result means no guide matched the words given — try fewer or broader words (e.g. "warrant" rather than "warrant inducement repricing") — not that the topic is unimportant.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "limit": { "type": "integer", "maximum": 50, "minimum": 1, "description": "Maximum guides to return (1-50, default 10)." }, "query": { "type": "string", "default": "", "maxLength": 200, "description": "Words to search for, e.g. \"baby shelf\", \"form 4\", \"reverse split\". Empty string lists every guide." }, "track": { "enum": [ "dilution", "filings", "market-structure", "signal8" ], "type": "string", "description": "Optional. Restrict to one Academy track: \"dilution\" (dilution & toxic financing), \"filings\" (reading SEC filings), \"market-structure\" (halts, short interest, float, splits, congressional trading), or \"signal8\" (using Signal8, its API and this MCP server)." } }, "additionalProperties": false }
arguments 29 lines
get_institution_detail reads auth-required 46h ago
Get detailed information about a specific institutional investor by their SEC CIK number. Returns the institution name, total AUM, number of holdings, and filing history. Use get_institutions first to find the CIK for an institution.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "cik" ], "properties": { "cik": { "type": "string", "description": "SEC CIK number of the institution (e.g., \"0001067983\" for Berkshire Hathaway)" } }, "additionalProperties": false }
arguments 14 lines

get_institution_filings auth-required 46h ago

Get the list of 13F filings for an institution by CIK, with pagination.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "cik"
  ],
  "properties": {
    "cik": {
      "type": "string",
      "description": "SEC CIK number of the institution"
    },
    "limit": {
      "type": "number",
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum results to return (default: 20, max: 50)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 25 lines

search_companies auth-required 4d ago

Search for companies by name or ticker symbol in the Signal8 database. Returns matching companies with their ticker, name, CIK, and exchange. Use this as the first step to find a company before calling other tools.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum results to return (default: 10, max: 50)"
    },
    "query": {
      "type": "string",
      "description": "Search query - company name or ticker symbol (e.g., \"Tesla\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 20 lines

get_cash_history auth-required 3d ago
Get up to 10 years of quarterly cash position history from SEC XBRL filings (data.sec.gov company-facts). Returns an array of {periodEnd, usd, formType, isAnnual} sorted chronologically. Deduped by period with annual filings preferred over quarterly. Not feature-gated — works for any company with SEC filings.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines
get_filing_structured auth-required 3d ago
Parsed, machine-readable data from an ownership or holdings filing, by accession number. `kind` says which: "ownership" (Form 3/4/5 and amendments) — issuer, reporting owners with relationship (director, officer title, 10% owner, or the filer's own "Other" text), and `parsed.transactions` (one row per transaction: table nonDerivative/derivative, securityTitle, transactionDate, code, acquiredDisposed A/D, shares, pricePerShare, sharesOwnedAfter, ownership D/I, and for derivatives exercisePrice, exerciseDate, expirationDate, underlyingTitle, underlyingShares); "thirteen_f" (13F-HR) — period, holdings with cusip, issuer, shares/principal, put/call, discretion and voting; "schedule13" (XML SCHEDULE 13D/G, filed 2025 onward) — reporting persons, percent of class, items. 13F VALUES: `valueThousands` is the raw filed number; the SEC changed its unit from thousands of dollars to whole dollars for filings on/after 2023-01-03, so use `valueUsd` / `totalMarketValueUsd` (normalised to dollars; null when the unit cannot be determined) and `valueUnit`. Holdings are capped at holdingsLimit (default 200) — `holdingsTotal` is the full count and `holdingsTruncated` says whether rows were cut. NULL MEANS NOT STATED IN THE FILING, never zero (e.g. a gift or grant with no price has pricePerShare null; Form 4 `directShares` is null on a derivative-only filing). `parsed.transactions` ABSENT (not empty) means the transaction table could not be read — the totals still apply. `parsed: null` on a 13F means the filing has no information table (e.g. 13F-NT), not zero holdings. Unsupported forms, pre-2025 Schedule 13D/G (not XML), and filings not in the archive return a not-found error whose `details.reason` says which — read those with get_filing_document instead. Coverage: Signal8's archive of SEC EDGAR filings from October 2021 to today (about 3.9M filings), updated through the day; filings older than 2021-10 may be absent, so an empty result is not proof something was never filed. Some rows are record-only (bodyStored: false — metadata from the EDGAR index with no document body), so their text cannot be read here; open them at their sec.gov URL.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "accessionNumber" ], "properties": { "holdingsLimit": { "type": "integer", "maximum": 5000, "minimum": 1, "description": "13F only: max holdings rows to return (default 200, max 5000)" }, "accessionNumber": { "type": "string", "description": "SEC accession number of a Form 3/4/5, 13F-HR or SCHEDULE 13D/G, dashed or 18-digit compact form" } }, "additionalProperties": false }
arguments 20 lines

get_politician_donors auth-required 19h ago

Get the paginated list of campaign donors (individuals and PACs) for a single politician across one election cycle. Returns donor name, amount, type, employer/occupation (individuals), and committee details (PACs). Use this when a user asks "who donated to <politician>" or wants the full donor list. For a quick top-10 + cycle totals overview, use get_politician_donor_summary instead.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\")"
    },
    "type": {
      "enum": [
        "individual",
        "pac",
        "all"
      ],
      "type": "string",
      "description": "Filter by donor type: 'individual', 'pac', or 'all' (default: 'all')"
    },
    "cycle": {
      "type": "string",
      "pattern": "^\\d{4}$",
      "description": "Election cycle as 4-digit year (e.g. \"2024\"). Defaults to most recent cycle."
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 50, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    },
    "sortBy": {
      "enum": [
        "amount",
        "date",
        "name"
      ],
      "type": "string",
      "description": "Sort field: 'amount' (default), 'date', or 'name'"
    },
    "minAmount": {
      "type": "number",
      "minimum": 0,
      "description": "Minimum contribution amount in USD (filters out small donors)"
    },
    "sortOrder": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction (default: 'desc')"
    }
  },
  "additionalProperties": false
}

arguments 61 lines

get_recent_material_filings auth-required 3d ago

Recent material 8-K filings (last 7 days) for the constituents of an index universe. By default returns the high-signal 8-K item codes (material agreements, M&A, executive changes, restructurings, etc.); pass `items` to filter to specific 8-K item codes. Choose the universe with `universe`.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "string",
        "pattern": "^\\d+\\.\\d+$"
      },
      "description": "Optional 8-K item codes (e.g. [\"1.01\",\"2.01\"])"
    },
    "limit": {
      "type": "integer",
      "maximum": 100,
      "minimum": 1,
      "description": "Optional max rows (1–100, default 50)"
    },
    "universe": {
      "enum": [
        "sp500",
        "ndx",
        "dji"
      ],
      "type": "string",
      "description": "Index universe to scan (sp500, ndx, or dji)."
    }
  },
  "additionalProperties": false
}

arguments 30 lines

get_donor_aggregates auth-required 3d ago

Get market-wide campaign-finance rollups across ALL tracked politicians for a cycle: total raised, top 10 individual donors, top 10 PACs, party/chamber/cycle splits, and a most-funded politician leaderboard. Use for "who are the biggest donors in 2024?" or "which party raised more?" type questions. For a single politician, use get_politician_donor_summary.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "cycle": {
      "type": "string",
      "pattern": "^\\d{4}$",
      "description": "Election cycle as 4-digit year (e.g. \"2024\"). Defaults to most recent cycle."
    },
    "party": {
      "enum": [
        "D",
        "R",
        "I"
      ],
      "type": "string",
      "description": "Filter by party: 'D', 'R', or 'I'"
    },
    "chamber": {
      "enum": [
        "senate",
        "house"
      ],
      "type": "string",
      "description": "Filter by chamber: 'senate' or 'house'"
    }
  },
  "additionalProperties": false
}

arguments 29 lines

get_politician_activity auth-required 26h ago
Get activity metrics for a politician broken down by period (30d, 90d, 1y, all-time). Includes buy/sell counts and values per period, most traded tickers (top 10), and transaction type breakdown. Useful for analyzing trading patterns over time.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "slug" ], "properties": { "slug": { "type": "string", "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\")" } }, "additionalProperties": false }
arguments 14 lines
get_politician_committees auth-required 26h ago
Get committee assignments for a politician including committee name, chamber, role (Chair, Ranking Member, etc.), and subcommittee memberships. Use to correlate trading activity with committee oversight areas. Requires a politician slug (e.g. "sen-nancy-pelosi") -- use get_politicians first to find the slug.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "slug" ], "properties": { "slug": { "type": "string", "description": "Politician URL slug (e.g., \"sen-nancy-pelosi\", \"rep-nancy-pelosi\")" } }, "additionalProperties": false }
arguments 14 lines
get_insider_positions auth-required 2d ago
Get current open insider positions for a CIK (either an insider or an issuer). If an issuer (company) CIK is supplied, returns all insiders' positions for that company. If an insider (reporting-person) CIK is supplied, returns that insider's open positions across all issuers they have filed Form 4 for. The response includes a `lookupMode` field (`"issuer"` or `"insider"`) indicating which interpretation matched. Derived from Form 4 filings.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "cik" ], "properties": { "cik": { "type": "string", "description": "SEC CIK number of the insider OR the issuer (company). Tried as issuer first, then falls back to insider." } }, "additionalProperties": false }
arguments 14 lines
get_insider_positions_by_ticker reads auth-required 2d ago
Get per-insider position aggregates for a given ticker — which insiders hold positions in the stock and their aggregate cost/value. Derived from Form 4 filings. NOT LIFETIME: every figure covers only the Form 4 history Signal8 holds, which starts at the response's `coverageStart` date (also repeated on each row) — say "since <coverageStart>", never "lifetime" or "all-time". Each row carries `costBasisStatus`: `complete` (every share the history knows was bought inside coverage), `partial` (the holding predates coverage, so `weightedAvgCost` averages only in-coverage priced buys and is NOT the cost of the position), or `unknown` (the first in-coverage event was a sale, or there was no priced buy — `weightedAvgCost`/`costBasisTotal` are null, which means NOT MEASURED, never zero cost).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines

get_executives auth-required 2d ago

Get key executives and officers of a company including name, title, compensation, and tenure. Use when researching company leadership or management quality.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

get_filing_document auth-required 2d ago
Get the full raw text/HTML content of an SEC filing by its internal filing ID (the `id` on search_sec_filings rows, `filingId` from lookup_accession_number or get_filing_documents). Returns the complete filing document which can be very large (10-K filings can be 1MB+). Use the maxLength parameter to truncate content for previews. The response includes company_name, form_type, filing_date, cik, and accession_number alongside the content. Record-only filings (bodyStored: false) have no body here — open them on sec.gov. To read one exhibit rather than the whole submission, use get_filing_documents or get_filing_exhibits, then get_exhibit_content. For Form 3/4/5, 13F and SCHEDULE 13D/G, get_filing_structured returns parsed fields instead of XML. Coverage: Signal8's archive of SEC EDGAR filings from October 2021 to today (about 3.9M filings), updated through the day; filings older than 2021-10 may be absent, so an empty result is not proof something was never filed. Some rows are record-only (bodyStored: false — metadata from the EDGAR index with no document body), so their text cannot be read here; open them at their sec.gov URL.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "filingId" ], "properties": { "filingId": { "type": "string", "description": "Internal filing ID (numeric). Find via search_sec_filings." }, "maxLength": { "type": "number", "minimum": 100, "description": "Truncate content to this many characters. Useful for previewing large filings. Response includes a \"truncated\" boolean when truncation is applied." } }, "additionalProperties": false }
arguments 19 lines
get_market_news auth-required 29h ago
Get the latest market-wide news across ALL tickers, most recent first. Every item is significance-classified at ingest (critical | major | standard); the default filter of critical,major is the "top stories" view. Use for "what is happening in the market right now" — for news about one company, use get_news with a ticker instead. Requires the /news/latest public endpoint (added 2026-07-29; 404 until that backend deploy).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "limit": { "type": "integer", "maximum": 50, "minimum": 1, "description": "Maximum items to return (1-50). Defaults to 10." }, "significance": { "type": "string", "description": "CSV of levels to include, e.g. \"critical,major\" (default) or \"critical,major,standard\"." } }, "additionalProperties": false }
arguments 17 lines

get_political_sector_rotation auth-required 22h ago

Which market SECTORS politicians have been trading in over a trailing window. Aggregates congressional + executive trades by sector and returns, per sector: trade count, total dollar volume, number of distinct politicians, and the top tickers. Use it to see where political trading activity is concentrating (e.g. "politicians piled into Energy this month"). Sort by count or dollar volume.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 30,
      "minimum": 1,
      "description": "Top-N sectors to return (default: 15, max: 30)"
    },
    "sortBy": {
      "enum": [
        "count",
        "volume"
      ],
      "type": "string",
      "description": "Rank sectors by trade count or summed dollar volume (default: count)"
    },
    "chamber": {
      "enum": [
        "senate",
        "house",
        "executive"
      ],
      "type": "string",
      "description": "Optional chamber filter (default: all chambers merged)"
    },
    "windowDays": {
      "type": "number",
      "maximum": 90,
      "minimum": 1,
      "description": "Lookback window in days (default: 30, max: 90)"
    }
  },
  "additionalProperties": false
}

arguments 36 lines

get_policy_events auth-required 29h ago
List mirrored executive orders (policy events) from the Federal Register feed. Filter by signing-date range, affected sector, or free-text title query. Each event includes its Federal Register document number (externalId), title, signing date (eventDate), normalized affected sectors, full-text URL, and flaggedTradeCount — the number of official trades that occurred in an affected sector near the signing date. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "q": { "type": "string", "description": "Free-text search over event titles" }, "to": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Latest signing date inclusive (YYYY-MM-DD)" }, "from": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Earliest signing date inclusive (YYYY-MM-DD)" }, "limit": { "type": "number", "maximum": 100, "minimum": 1, "description": "Maximum results to return (default: 25, max: 100)" }, "offset": { "type": "number", "minimum": 0, "description": "Pagination offset (default: 0)" }, "sector": { "type": "string", "description": "Filter by canonical affected sector (one of the 11 canonical sector strings, e.g. \"Healthcare\", \"Financial Services\", \"Energy\")" } }, "additionalProperties": false }
arguments 36 lines
get_policy_trade_leaderboard reads auth-required 29h ago
Rank politicians (Congress + executive branch) by trades that occurred near executive-order signings in sectors the orders affect. Each row includes the politician, flaggedTradeCount, totalEstimatedUsd, topSector, and an exampleEvent. Use for "who trades most around policy activity" style questions. Defaults to the same "traded 1-14 days before signing" lens as get_policy_trade_overlap; same-day trades are always excluded. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "sort": { "enum": [ "usd", "count" ], "type": "string", "description": "Ranking order: 'usd' (default — estimated USD value) or 'count' (flagged-trade count)" }, "limit": { "type": "number", "maximum": 100, "minimum": 1, "description": "Maximum results to return (default: 50, max: 100)" }, "offset": { "type": "number", "minimum": 0, "description": "Pagination offset (default: 0)" }, "window": { "type": "number", "maximum": 30, "minimum": 1, "description": "Match window in days around the EO signing date (default: 14, max: 30)" }, "direction": { "enum": [ "before", "after", "both" ], "type": "string", "description": "Which side of the signing date to include: 'before' (default), 'after', or 'both'" } }, "additionalProperties": false }
arguments 41 lines
get_cash_position reads auth-required 3d ago
Get the Signal8 cash position model for a company, derived from the dilution snapshot pipeline: anchor cash and anchor date, monthly burn, post-anchor capital raises (with SEC filing citations), known outflows, estimated current cash and runway months. Use when analyzing a company's current cash situation, runway, or capital raise activity. ALWAYS RETURNS 200 — read `available` and `reason`, never the HTTP status: coverage is partial, so `available: false` with reason `snapshot_not_generated` means THIS COMPANY HAS NOT BEEN ANALYSED YET, which is different from it having no cash data and different from an outage (an outage is a 5xx). Never report a company as having no cash or no runway on the strength of an unavailable response. The `scenarios` envelope is preserved for compatibility but only `scenarios.closed` is populated: `pending` and `announced` are null with reason `scenario_not_modelled` because the extraction records only REALIZED cash-raising events and never models speculative raises. Do not infer them from shelf or ATM capacity. Included in Signal8 Pro (403 FEATURE_NOT_AVAILABLE, requiredTier "pro", without it). That is a tier upgrade, not an add-on purchase — the add-on is no longer sold.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")" } }, "additionalProperties": false }
arguments 14 lines
get_filing_documents auth-required 3d ago
List EVERY document in one SEC filing by accession number — the primary document, each exhibit, XML and XBRL files, graphics — with seq, type (e.g. "8-K", "EX-99.1"), description, size in bytes, `stored` and `secUrl`. Also returns the filing's cik, companyName, formType, filingDate, acceptedAt, bodyStored, primaryDocument, indexUrl, and `filingId`. HOW TO READ A DOCUMENT: if it has an `exhibitId`, call get_exhibit_content with that id; for the whole submission text call get_filing_document with `filingId`. `exhibitId: null` means the document has no readable text row here (XML/XBRL/graphics, or text not held) — open its `secUrl`. When `readableIdsResolved` is false the id lookup failed and exhibitId is omitted (not "none"); get_filing_exhibits(filingId) lists them. `stored: false` means Signal8 holds the filing record but not that document's body — it exists on EDGAR at `secUrl`. A filing not held in the archive returns a not-found error; its documents are still on EDGAR. Coverage: Signal8's archive of SEC EDGAR filings from October 2021 to today (about 3.9M filings), updated through the day; filings older than 2021-10 may be absent, so an empty result is not proof something was never filed. Some rows are record-only (bodyStored: false — metadata from the EDGAR index with no document body), so their text cannot be read here; open them at their sec.gov URL.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "accessionNumber" ], "properties": { "accessionNumber": { "type": "string", "description": "SEC accession number, dashed (\"0001193125-22-010026\") or 18-digit compact form" } }, "additionalProperties": false }
arguments 14 lines

search_institutions auth-required 3d ago

Search institutional investors (13F filers) by name. Returns matching institutions with CIK, name, AUM, holdings count, and latest filing period. Use this to find a specific fund or investment manager when you know part of their name (e.g., "Vanguard", "BlackRock", "Citadel"). Results are ranked by AUM descending.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "q"
  ],
  "properties": {
    "q": {
      "type": "string",
      "minLength": 2,
      "description": "Search term (min 2 characters, e.g., \"Vanguard\", \"BlackRock\")"
    },
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 25, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 26 lines

get_institution_top_aum auth-required 40h ago

Discover top institutional holders across the entire company universe ranked by assets under management (AUM). Unlike get_ownership which shows institutions for a single company, this tool searches across all companies to find the largest institutional players. Optionally set a minimum AUM. Useful for identifying smart money flows and major institutional positioning trends.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 25, max: 100)"
    },
    "minAum": {
      "type": "number",
      "description": "Minimum AUM in USD to filter institutions (e.g., 1000000000 for $1B+)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 22 lines

get_politicians_most_active auth-required 7h ago

Discover the most active congressional traders ranked by trade count within a lookback period. Returns each politician with trade count, tickers traded, buy/sell values, and top tickers. Useful for identifying the most prolific political traders.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum results to return (default: 10, max: 50)"
    },
    "period": {
      "enum": [
        "30d",
        "90d",
        "1y",
        "all"
      ],
      "type": "string",
      "description": "Lookback period (default: '90d')"
    }
  },
  "additionalProperties": false
}

arguments 23 lines

get_politicians_pnl_leaderboard auth-required 7h ago

Rank politicians (Congress + executive branch) by estimated trading P&L across the universe. Sort by total P&L, win rate, or traded volume. P&L uses price-adjusted share estimation: disclosed amount ranges → estimated shares via historical price → FIFO on shares → open positions marked to current price. Figures are ESTIMATES (±25-40% from disclosure bracket width).

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 25, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    },
    "sortBy": {
      "enum": [
        "pnl",
        "winRate",
        "volume"
      ],
      "type": "string",
      "description": "Sort field (default: 'pnl')"
    }
  },
  "additionalProperties": false
}

arguments 27 lines

get_premarket_scan_history auth-required 7h ago

Historical MARKET-WIDE premarket scan for a single PAST trade date. For the requested ET date, returns every ticker with that day's premarket (default) session volume and its relative volume (RVOL) vs the trailing 30-day same-session baseline — the SAME RVOL math as get_rvol_history, but across the whole market for one date instead of one ticker across many dates. Filter by RVOL, market cap, price, and float to backtest screens like "sub-$500M tickers with premarket RVOL > 5 on 2026-07-20" in one call. Rows are ranked by RVOL descending. A future or non-trading date returns an empty list with an explanatory reason (not an error). Every row also reports "baselineState" (why its RVOL is or is not null), "advRatio" (volume ÷ trailing 30-session average FULL-DAY volume) and "advDays"; set includeNoHistory=true to surface high-volume tickers that have no computable RVOL at all, such as first-session new listings. Each row ALSO publishes the RVOL denominator itself as "baselineVolume" (shares) plus a "baselineThin" flag (true when that denominator is under 200 shares): a 90x RVOL off a 1-share baseline is arithmetically correct and analytically worthless. That is almost entirely an asOfTime-basis effect (0.1% of full-session rows vs ~38% at the 04:30 cutoff, falling to ~9% by 09:15) and it skews to LIQUID LARGE CAPS that simply do not trade early, NOT to microcaps. Screen it out with minBaselineVolume and/or minSessionVolume. The response "meta" also reports asOfApplied / asOfIgnored / asOfIgnoredReason, so a time-of-day request that could not be honoured is visible instead of quietly returning full-session numbers. A price / market-cap / float filter can only be applied to a ticker company_screener_data holds a value for, so a just-renamed or just-listed symbol cannot be rated against it. Those rows are NEVER silently dropped: "meta.unscreened" always reports their count, the filter families involved and the tickers, and includeUnscreened=true returns them in "rows" tagged with "unscreenedFilters". Treat that tag as NOT MEASURED — the value is unknown, not out of range. Charged per your API tier.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "date"
  ],
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "REQUIRED past ET trade date to scan (YYYY-MM-DD). Future/non-trade dates return an empty list."
    },
    "limit": {
      "type": "integer",
      "maximum": 200,
      "minimum": 1,
      "description": "Max rows to return (1–200, default 50). Rows are ranked by RVOL desc."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Pagination offset (default 0)."
    },
    "minRvol": {
      "type": "number",
      "description": "Minimum RVOL (day session volume ÷ trailing 30-day baseline). Drops rows whose baseline is not yet warm."
    },
    "session": {
      "enum": [
        "premarket",
        "regular",
        "afterhours",
        "all"
      ],
      "type": "string",
      "description": "Session bucket to scan (default premarket). \"all\" = full extended day."
    },
    "asOfTime": {
      "type": "string",
      "pattern": "^\\d{2}:\\d{2}$",
      "description": "Optional TRUE time-of-day premarket basis. Any HH:MM ET premarket time; snapped to the nearest 15-minute grid cutoff (04:00–09:15, ties resolve to the earlier cutoff). When set, RVOL is cumulative premarket volume known BY that cutoff ÷ the trailing baselineDays (default 30) average of the SAME cutoff — a real time-of-day comparison, not the full 04:00–09:30 session. Each returned row carries a \"basis\" field: \"asof-0700\" (the snapped cutoff actually used) when a precomputed row exists, else \"full-session\" (automatic per-row fallback — the as-of series is forward-looking and may be sparse). Only applies to a premarket scan. Omit for full-session premarket volume. CHECK \"meta.asOfApplied\" (the SNAPPED cutoff actually used, or null) and \"meta.asOfIgnored\" / \"meta.asOfIgnoredReason\" (\"date-not-covered\" — the as-of grid has not been computed for this date, so the numbers are full-session; \"non-premarket-session\" — asOfTime only applies to a premarket scan; \"unparseable\"). Coverage is a set with HOLES that grows as the backfill runs, so do NOT assume any cutover date — read the meta per request. An unhonoured asOfTime is never an error, so this is the only reliable check. ALSO NOTE: this basis is where near-zero RVOL baselines come from — pair it with minBaselineVolume (see \"baselineThin\")."
    },
    "maxFloat": {
      "type": "number",
      "description": "Maximum public float (shares)."
    },
    "maxPrice": {
      "type": "number",
      "description": "Maximum latest price in USD."
    },
    "minFloat": {
      "type": "number",
      "description": "Minimum public float (shares)."
    },
    "minPrice": {
      "type": "number",
      "description": "Minimum latest price in USD."
    },
    "baselineDays": {
      "type": "integer",
      "maximum": 250,
      "minimum": 20,
      "description": "Rolling RVOL baseline window, in trading rows (same-session days). Default 30; values outside 20-250 are clamped. This is the DENOMINATOR window: every RVOL in the response is that period's volume divided by the average of the trailing N same-session (or same-cutoff) days, excluding the day itself. A SHORTER window tracks recent regime changes faster and is noisier; a LONGER one is smoother and slower to react. The warm-up lookback scales with it automatically, so a wide window is never under-filled into an inflated ratio; the minimum-warm-days gate (20 prior sessions) does NOT scale down, so at the 30-row default a ticker needs 20 of its last 30 sessions populated before rvol is non-null. Omit for the standard 30-day baseline; pass 90 for the pre-2026-09 window."
    },
    "maxMarketCap": {
      "type": "number",
      "description": "Maximum market cap in USD (e.g. 500000000 for sub-$500M)."
    },
    "minMarketCap": {
      "type": "number",
      "description": "Minimum market cap in USD (market_cap_computed = price × shares outstanding)."
    },
    "includeNoHistory": {
      "type": "boolean",
      "description": "Also return the cohort minRvol structurally hides: tickers with NO computable RVOL. Two kinds, told apart by each row's \"baselineState\" — \"no-history\" (a new listing with no prior trading history at all, so RVOL is meaningless rather than merely missing; e.g. a stock that printed 20M shares on its first-ever session) and \"no-cutoff-history\" (an established ticker that simply never traded at this cutoff before — a genuine wake-up). Both come back with rvol=null and are ALWAYS ranked BELOW every real-RVOL row, ordered among themselves by \"advRatio\". Use \"advRatio\" (volume ÷ trailing 30-session average FULL-DAY volume, null when no full-day denominator exists) and \"advDays\" (its sample size) to size them — it is NOT an RVOL and is not comparable to one. Inert unless minRvol is set. Default false."
    },
    "minSessionVolume": {
      "type": "number",
      "description": "Minimum RVOL NUMERATOR in shares — the scanned session's own volume. Answers \"did enough actually trade to be worth acting on?\", where minBaselineVolume answers \"is the comparison meaningful at all?\". USE BOTH IF YOU MEAN BOTH: neither subsumes the other (a 1,000-share floor here cuts thin-baseline rows from ~26% to ~3%, yet a name with an 860-share baseline and 11.8M shares traded passes this and fails a baseline floor)."
    },
    "includeUnscreened": {
      "type": "boolean",
      "description": "Also return rows that could not be RATED against the price / market-cap / float bounds above, because company_screener_data holds no value for them — typically a symbol renamed or listed within the last day (the source is an FMP screener that lags a rename by ~a day). Each such row carries \"unscreenedFilters\" naming the families that could not be applied, and the matching value field is null. READ THAT AS NOT MEASURED — never as \"matched\" or \"did not match\". Default false, in which case those rows are excluded from \"rows\" but are STILL reported in meta.unscreened (count / columns / tickers), so they are never silently dropped. Inert unless a price, market-cap or float filter is supplied."
    },
    "minBaselineVolume": {
      "type": "number",
      "description": "Minimum RVOL DENOMINATOR in shares. Drops rows whose \"baselineVolume\" is below it, plus every row that has no baseline at all. This is the direct fix for a huge RVOL computed against a near-zero baseline (e.g. 102 shares ÷ a 1.2-share baseline = 87x on a $10B company that just does not trade at 04:30). Try 200 to match the \"baselineThin\" flag, or higher for a stricter screen. Does NOT change any RVOL — it only removes rows. Note it also excludes the includeNoHistory cohort, which by definition has no denominator."
    }
  },
  "additionalProperties": false
}

arguments 91 lines

screen_companies auth-required 3d ago

Since 2026-10-03 the float column ALWAYS carries the dilution snapshot's own figure when the snapshot has one: "float" is the measured POINT float (null on a withheld snapshot row), and such a row then carries "floatEstimate" (shares) + "floatEstimateBound" ("point" ~ / "ceiling" <= / "floor" >=) + "floatEstimateBasis" (the working) — present it as the number with its marker, e.g. "<= 7,953,957". minFloat / maxFloat and the computed_float sort compare the figure's VALUE (COALESCE of the two), so a bounded row is kept; a row with neither is NOT MEASURED, never 0. 🔴 Never feed floatEstimate into a market cap, a percent-of-float or a short-interest ratio — a bound is not a point. Screen companies by price range, volume, cash runway, float, shares outstanding (each row's `shares_outstanding` is DATED by `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` (stated / checked / none = date not recorded) and a vendor-free `sharesOutstandingSource`; never present the count without its date), market cap, industry, listing exchange (NASDAQ/NYSE/AMEX), float data source and TTM dividend yield. Each row carries dividendYield (trailing-twelve-month cash dividends with an ex-date in the last 365 days / current price, in percent), nextExDate and lastExDate — null means NOT MEASURED or not a payer, never 0%. Sort results by any sortable column. Returns matching companies with key metrics and pagination. Each row carries live trading-halt status (halted/haltCode/haltedAt; false/null when trading normally); pass excludeHalted=true to drop currently-halted tickers from the results.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results per page (default: 25, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Offset for pagination (default: 0)"
    },
    "sortBy": {
      "enum": [
        "ticker",
        "price",
        "change_percent",
        "volume",
        "industry",
        "cash_runway_months",
        "shares_outstanding",
        "computed_float",
        "market_cap_computed",
        "updated_at",
        "dividend_yield"
      ],
      "type": "string",
      "description": "Column to sort results by (default: volume)"
    },
    "country": {
      "enum": [
        "US",
        "CA",
        "all"
      ],
      "type": "string",
      "description": "Company universe by issuer domicile: \"US\" (default), \"CA\" (Canadian companies via their US-OTC/US cross-listings), or \"all\""
    },
    "exchange": {
      "type": "string",
      "description": "Filter by listing exchange (exact match): NASDAQ, NYSE, or AMEX"
    },
    "industry": {
      "type": "string",
      "description": "Filter by company industry (exact match, e.g. \"Biotechnology\", \"Software\")"
    },
    "maxFloat": {
      "type": "number",
      "description": "Maximum computed public float (shares)"
    },
    "maxPrice": {
      "type": "number",
      "description": "Maximum latest price in USD"
    },
    "minFloat": {
      "type": "number",
      "description": "Minimum computed public float (shares)"
    },
    "minPrice": {
      "type": "number",
      "description": "Minimum latest price in USD"
    },
    "maxVolume": {
      "type": "number",
      "description": "Maximum daily trading volume"
    },
    "minVolume": {
      "type": "number",
      "description": "Minimum daily trading volume"
    },
    "sortOrder": {
      "enum": [
        "asc",
        "desc"
      ],
      "type": "string",
      "description": "Sort direction (default: desc)"
    },
    "floatSource": {
      "enum": [
        "computed",
        "sec_10k",
        "external"
      ],
      "type": "string",
      "description": "Filter by float data source"
    },
    "excludeHalted": {
      "type": "boolean",
      "description": "When true, exclude tickers with a currently-active trading halt (regulatory or volatility) from the results. Default false — halted rows are included and carry halted/haltCode/haltedAt fields."
    },
    "maxCashRunway": {
      "type": "number",
      "description": "Maximum estimated months of cash remaining"
    },
    "minCashRunway": {
      "type": "number",
      "description": "Minimum estimated months of cash remaining"
    },
    "maxDividendYield": {
      "type": "number",
      "minimum": 0,
      "description": "Maximum TTM dividend yield in percent. Rows with no measured yield never match."
    },
    "minDividendYield": {
      "type": "number",
      "minimum": 0,
      "description": "Minimum TTM dividend yield in percent (e.g. 3 for 3%). Rows with no measured yield never match."
    },
    "maxMarketCapComputed": {
      "type": "number",
      "description": "Maximum market cap in USD (price * shares outstanding)"
    },
    "maxSharesOutstanding": {
      "type": "number",
      "description": "Maximum shares outstanding from SEC EDGAR"
    },
    "minMarketCapComputed": {
      "type": "number",
      "description": "Minimum market cap in USD (price * shares outstanding)"
    },
    "minSharesOutstanding": {
      "type": "number",
      "description": "Minimum shares outstanding from SEC EDGAR"
    }
  },
  "additionalProperties": false
}

arguments 131 lines

get_politician_scorecard auth-required 2d ago
Top 5 and bottom 5 politicians (Congress + executive-branch officials) by ESTIMATED trading P&L over a trailing window (default and only supported window: 90 days), plus SPY's return over the same window as a benchmark, and imageUrl — a ready-to-attach 2160x2700 PNG card of the same ranking (null when unavailable; card.reason says why). ALL P&L FIGURES ARE ESTIMATES (estimate: true, estimateRange "±25–40%"): disclosed amount RANGES are converted to shares at the historical close, FIFO-matched, and open positions marked to the latest quote. State that they are estimates whenever you publish them; the card already prints "Estimates from disclosed amount ranges (±25–40%). Not investment advice." WHAT THE METRIC IS (read `metric`): P&L on trades DISCLOSED INSIDE the window only — realized on round trips opened and closed in the window plus unrealized on positions opened in the window. It is NOT lifetime P&L; sales of positions bought before the window are not counted. Eligibility: at least 5 trades in the window (eligibility.minTradesInWindow), so a single lucky trade cannot top the board. Each row: slug, fullTitle ("Senator", "Representative", or an executive official's filed title), fullName, displayName, party and state as full words, estimatedPnl, winRate (0-1; null = no position closed in the window — not measured, never 0%), tradesInWindow, unrealizedMeasured, and portraitUrl (always null for executive officials). Use the full title and full party/state words — never "Sen." or "D-CA". benchmark.available false means SPY was NOT measured (benchmark.reason) — never 0%. available false with reason "pending" means the window has not been computed yet, not that nobody traded.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "window": { "type": "number", "const": 90, "description": "Trailing window in days. Only 90 is supported (default 90)." } }, "additionalProperties": false }
arguments 12 lines

get_earnings auth-required 2d ago

Get historical earnings data for a company including EPS actual vs estimate, revenue actual vs estimate, and surprise percentages. Use when analyzing earnings beats/misses or upcoming earnings expectations.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ticker"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 40,
      "minimum": 1,
      "description": "Maximum number of earnings periods to return (1-40). Defaults to 8."
    },
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., \"AAPL\", \"TSLA\")"
    }
  },
  "additionalProperties": false
}

arguments 20 lines

get_company_profile reads auth-required 3d ago
Get an enriched company profile by ticker symbol. Returns CIK, exchange, sector, industry, market cap, employee count, description, and other fundamental data. This is a lightweight lookup (1 credit) -- use this when you only need basic company info rather than the full bundle. Always includes halted/haltCode/haltedAt trading-halt status (false/null when trading normally); a halted-but-listed ticker reports delisted:false. `sharesOutstanding` is DATED: `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` ("stated" = the issuer's statement date; "checked" = when it was last confirmed against a vendor; "none" = date not recorded) and a vendor-free `sharesOutstandingSource`. Quote the date with the count; null is NOT MEASURED, never zero.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Stock ticker symbol (e.g., AAPL, TSLA)" } }, "additionalProperties": false }
arguments 14 lines

get_recent_congressional_votes auth-required 4m ago

Get recent congressional roll-call votes across all members, sourced from GovTrack (both chambers as available — currently Senate-heavy). Each vote includes member, bill info, position, and result.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum results to return (default: 50, max: 100)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    }
  },
  "additionalProperties": false
}

arguments 18 lines

get_recently_sponsored_bills auth-required 4m ago

Get the most recently introduced bills across all congressional sponsors. Each bill includes the sponsor block (bioguideId, fullName, party, state, politicianSlug) so persona agents can link directly to the sponsor detail page. politicianSlug is null when the sponsor is no longer in the active roster (typically ex-members). Requires CONGRESS_API_KEY on the backend.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "number",
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum bills to return (default: 10, max: 50)"
    },
    "offset": {
      "type": "number",
      "minimum": 0,
      "description": "Pagination offset (default: 0)"
    },
    "congress": {
      "type": "number",
      "description": "Congress number to filter (default: 119 for current session)"
    }
  },
  "additionalProperties": false
}

arguments 22 lines

_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 58f7f4b681fad6dd.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/58f7f4b681fad6dd/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

[![measured by brick.blue](https://brick.blue/api/v1/agents/58f7f4b681fad6dd/badge.svg)](https://brick.blue/agent/58f7f4b681fad6dd?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know

card completeness

100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls

total: 0
ok: 0
failed: 0
success rate: —
median latency: —

work

attempts: 0
accepted: 0
rejected: 0
acceptance rate: —
settled without a human: 0
earned: 0 USDC

disputes

raised against: 0
upheld: 0
rate: —

reviews

paid reviews: 0
positive: 0
negative: 0
score: —

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.