metricduck
Registry code: 7ac23b442fd5d5ee
MetricDuck answers questions about public companies from SEC filings. Use it when the user asks about company financials (revenue, margins, cash flow), 10-K, 10-Q or 8-K filings, risk factors, MD&A, earnings calls, guidance, or stock prices. Trust rule: quote figures as MetricDuck's tools return them; if a tool returns no data, an error, or 'no coverage', say the figure could not be retrieved from MetricDuck — never substitute a number from memory or another source without flagging it as unverified. MetricDuck's SEC filing data — financials, XBRL facts, and filing text — is an audit-grade…
- endpoint
- https://www.metricduck.com/mcp
- protocol
- streamable-http ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
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- Is metricduck live?
- Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.
- Is metricduck 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 metricduck have?
- 23 tools: search_companies, get_company_overview, get_filing_index, get_earnings, get_stock_price, get_financials, compare_companies, screen_companies, ….
- Is metricduck 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.
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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.
search_companies auth-required never probed
Use this when you have a company name or an ambiguous ticker and need the exact ticker (or CIK) before calling other tools. Fuzzy name/ticker match: handles partial names ("micro" -> MSFT), typos, and ticker variations. Returns ticker, full name, CIK, SIC, filer type (domestic / foreign private issuer / fund — i.e. which form family to expect), fiscal year-end, and the SEC EDGAR entity-page link (verify the match + see the full filing history) for each match. **Delisted / renamed / acquired companies** are resolvable by current OR former name if they filed with the SEC in roughly the last five years (e.g. "American Software" → Logility, "Chase Manhattan" → JPM); older ones may not be found. They are returned ranked below active matches, flagged `[delisted]`, with their CIK. They have no current ticker — pass the returned `cik` to downstream tools (company tools accept a CIK in place of a ticker, except `get_stock_price`, which needs a ticker). **Not for concept/theme/industry discovery** ("gold miners", "LNG exposure", "companies mentioning tariffs") — it matches company names only, not what companies do. Use `search_sec_filings` (full text of filings) or `screen_companies` (metric + sector filters). **Coverage boundary:** MetricDuck is **SEC-EDGAR only**, and this tool is its coverage check. A no-match on a **non-US local-exchange symbol** (e.g. `3087.T`, `LSE:HSBA`, `7203:JP`) is a coverage boundary, not a lookup miss — the tool says so explicitly and you should treat it as **terminal** (don't retry ticker variations). Foreign issuers that file a US 20-F/40-F ARE covered (see `query`).
{ "type": "object", "required": [ "query" ], "properties": { "limit": { "type": "integer", "default": 5, "maximum": 20, "minimum": 1, "description": "Maximum results (default 5, max 20)" }, "query": { "type": "string", "description": "Company name or ticker (supports partial matches and typos). 2-5 uppercase letters are read as a ticker: pass an all-caps NAME that is not a ticker (\"AMCOR\") in normal casing (\"Amcor\"). A miss returns near-matches when possible. Foreign issuers filing a US 20-F/40-F (HSBC, Toyota, Novo Nordisk): use the company name, not a local symbol." } }, "additionalProperties": false }arguments 20 linesget_company_overview auth-required never probed
Get comprehensive financial overview for a company in a single call. Includes: current price, valuation (P/E, P/B, EV multiples, PEG), profitability (revenue, margins, returns), cash flow (OCF, FCF, yields), balance sheet (debt, equity, ratios), capital allocation (buybacks, shares outstanding, shareholder yield), business segment + geographic revenue mix (latest 10-K, with YoY change), latest earnings insights, filing intelligence highlights, and company flags. Latest snapshot only — use get_financials for multi-year trends, get_xbrl_facts for multi-period segment history, get_filing_index for a signal map of the latest filing, compare_companies for peer benchmarking, get_stock_price for a historical/as-of-a-date close or a return between two dates (the price here is current only). Not point-in-time. For "as of <past date>" work use the tools that take `vantage_date` (get_financials, get_metric_history, get_filing_section, get_filing_index) and get_stock_price for a past close. Those bound which filings are visible, not restated values: a later restatement or recast is served under the as-of citation, and the LOOK-AHEAD flag (get_financials, get_metric_history, get_filing_index) covers only a later amendment of the period's own filing. For figures as known then, pin get_xbrl_facts to the accession_number of the latest filing reporting the period (list_filings takes vantage_date); period_history=true gives figures as originally filed.
{ "type": "object", "required": [ "ticker" ], "properties": { "depth": { "enum": [ "snapshot", "core", "full" ], "type": "string", "default": "core", "description": "Response shape preset. 'snapshot' = headline facts only (~2K chars: key signals, filing-signal summary, flags, latest filing pointers) — best for multi-ticker sequencing or quick checks. 'core' (default) = standard overview (~5-9K). 'full' = core + all tags and earnings highlights/concerns (no truncation) + a 5Y historical distribution (median/p25/p75/p90) of P/E, EV/EBITDA, EV/FCF." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL', 'MSFT'). Must be exact — search_companies resolves a name." } }, "additionalProperties": false }arguments 23 linesget_filing_index auth-required never probed
Use this when the user asks what matters in a company's latest 10-K or 10-Q — red flags, accounting quality, debt and liquidity stress, top risks, management tone and guidance, segments and customer concentration. Returns the facts MetricDuck extracted from that filing, each with evidence and a pointer to the section to read next with get_filing_section(). Facts are presented neutrally; those from LLM analysis are labeled. The optional `lens` narrows it to one view (listed on that parameter). Only the LATEST filing is indexed. For a PRIOR quarter's operating KPIs (same-store / comparable sales, ARPU, take-rate, bookings), guidance, or a beat/miss question (e.g. "FND same-store sales in Q4 2024", "did MU beat its Q3 gross-margin guidance"), don't page through the latest 10-Q/10-K — read that quarter's earnings-release 8-K: list_filings(ticker, form_subtype="8-K-earnings", years=N) labels each row with its implied fiscal period (8-Ks are not period-indexed, so don't pass fiscal_year/fiscal_period there); then get_filing_section(ticker, "earnings_press_release" | "earnings_income_statement" | "earnings_segment_data", accession_number=<that 8-K>). Highlights, guidance/outlook and CEO commentary are in "earnings_press_release" (query="outlook"); omit section_id for the release's outline. Use Cases: - "What should I look at in AAPL's 10-K?" -> get_filing_index("AAPL") - "Any accounting red flags for ENPH?" -> get_filing_index("ENPH", lens="earnings_quality") - "What are UNH's biggest risks right now?" -> get_filing_index("UNH", lens="risk_trajectory") For earnings-call trends across quarters, use `compare_earnings_calls`.
{ "type": "object", "required": [ "ticker" ], "properties": { "lens": { "enum": [ "earnings_quality", "debt_stress", "risk_trajectory", "competitive_position", "management_outlook" ], "type": "string", "description": "Filter to a specific analytical view. earnings_quality: SBC dilution, accounting flags, material weaknesses, earnings quality assessments. debt_stress: Debt profile, covenant compliance, near-term maturities, critical liability findings. risk_trajectory: Risk factors, new/escalated risks, key uncertainties, concern evolution. competitive_position: Business segments, customer / channel / geographic concentration. management_outlook: Management tone, tone change, forward guidance, guidance accuracy. Omit for the full signal index." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). Must be exact." }, "vantage_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "As-of vantage (YYYY-MM-DD): index the signal map for the latest filing filed ON OR BEFORE this date — for point-in-time / 'as of <date>' analysis (backtest, 'what was known at the announcement'). Omit for the latest filing." } }, "additionalProperties": false }arguments 29 linesget_earnings auth-required never probed
8-K earnings-RELEASE financials — headline income statement (revenue, net income, operating income, diluted EPS) PLUS the as-released cash-flow statement (operating cash flow, capex, free cash flow, +growth), typically WEEKS before the audited 10-Q/10-K. Often the ONLY structured source for the fresh quarter's capex/OCF/FCF (the 8-K carries no XBRL, so get_financials/get_metric_history still show the prior quarter until the 10-Q lands). Distinct from get_financials (audited XBRL 10-K/10-Q — filed later, GAAP-consistent) and get_company_overview (its earnings section is prose, no figures). Each figure carries a deep-link + verbatim quote when the release has an attested receipt. Use Cases: - "What did NVDA report for its latest quarter's revenue?" -> get_earnings("NVDA") - "TSLA's last 8 quarters of earnings releases" -> get_earnings("TSLA", quarters=8) Release figures are management's own characterization and may be non-GAAP-adjacent — verify against the quote when precision matters. A figure without a receipt is still shown (often filled from a prior extraction pass or awaiting validation) but without a deep-link — absence of a receipt is not evidence the value is wrong. Point-in-time: `vantage_date` (YYYY-MM-DD) serves the releases known on/before that date, and `quarters` walks back from it. A revised release is a new accession, so there is no restatement look-ahead here. **Exactness:** the table ABBREVIATES (`$118.70B`) — quote exact figures from `<raw_data>` instead.
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'NVDA'). Must be exact." }, "quarters": { "type": "integer", "default": 4, "maximum": 8, "minimum": 1, "description": "Number of most recent quarters to return (1-8, default 4)." }, "vantage_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "As-of vantage (YYYY-MM-DD): serve releases KNOWN on/before this date — the quarters walk back from the vantage instead of today. For backtests / point-in-time questions. Omit for the latest. Scope: this bounds which RELEASES are visible, not which EXTRACTION of them — a figure MetricDuck later re-extracted is served at its current (corrected) reading. That is deliberate: the corrected reading is the better answer to what the filing said at that date. Such corrections are rare — 0.60% of release/signal pairs ever changed value across extractions, all within the same accession — and a genuine issuer revision arrives as a NEW accession, which this bound catches." } }, "additionalProperties": false }arguments 25 linesget_stock_price auth-required never probed
Daily end-of-day stock prices (open/high/low, close, split- & dividend-adjusted adj_close, volume) for US exchange-listed companies. Sourced from a market-data feed, not SEC filings. Markets are open only on business days, so rows exist ONLY for trading days — the data IS the trading calendar: - Price ON OR AFTER a date (a single date, or an announcement landing on a weekend): pass start_date=<date> alone; the FIRST row of the short forward window is that date or the next open day. - Price ON OR BEFORE a date: pass end_date=<date>; the LAST row is that date or the prior open day. Use Cases: - "AAPL close on 2025-07-28" -> get_stock_price("AAPL", start_date="2025-07-28") - "DKNG total return 2025-01-02 → 2026-02-27" -> get_stock_price("DKNG", start_date="2025-01-02") + get_stock_price("DKNG", end_date="2026-02-27"), first/last close (cheaper than one 14-month window) - "SUI +1/+14/+30 days after an 8-K" -> start_date=<announce>, end_date=<announce + ~32d>; pick rows on/after each - No dates -> the latest price When the window spans ≥2 trading days, the response also reports the first/last close and the period return on BOTH close (point-to-point) and adj_close (split/dividend-adjusted: the economic return). Each response also includes the latest REPORTED period-end shares outstanding on/before your end date (period-end balance-sheet count; dei cover where absent) plus the implied market cap at the latest close — use these for market-cap / EV / P/B math instead of deriving share counts from NI/EPS (that yields weighted-average shares, a different basis). Coverage: ~8,400 US common-equity tickers, end-of-day only (no intraday/real-time, no options/FX). Recent history is dense; deep pre-2014 history may be sparse. Period-end multiples (P/E, EV/EBITDA, P/B): get_metric_history, whose `metric_id` lists the primitives for a CUSTOM multiple (e.g. lease-adjusted EV) priced with this tool.
{ "type": "object", "required": [ "ticker" ], "properties": { "limit": { "type": "integer", "default": 30, "maximum": 2000, "minimum": 1, "description": "Max rows (newest first if the window exceeds it). Default 30. With start_date alone, the short forward window is returned whole. For a point-to-point return over a long span, make TWO narrow-window calls (one per date) rather than one wide window — cheaper, and avoids the cap dropping your start date." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). US exchange-listed (NYSE/Nasdaq/AMEX), 1–5 letters." }, "end_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Window end (YYYY-MM-DD). The LAST returned row on/before this date is the price ON OR BEFORE it. Omit start_date to fetch just the price on/before this date." }, "start_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Window start (YYYY-MM-DD). Markets trade only on business days — if this date is a weekend/holiday the FIRST returned row is the next OPEN day (the price ON OR AFTER this date). Omit end_date to fetch just the price on/after this date." } }, "additionalProperties": false }arguments 30 linesget_financials auth-required never probed
Get multi-period financial statements: income statement, balance sheet, and cash flow in one call. Returns quantitative historical data with key metrics and trends. Default: all 3 statements, quarterly, 2 years. For qualitative analysis (risks, accounting quality, management tone), use get_filing_index (signal map) then get_filing_section to read the text. Use Cases: - "Show me AAPL's financials" -> all statements - "MSFT revenue trend 5 years" -> period="annual", years=5 - "Is Tesla's debt increasing?" -> statements=["balance"] - "As of a past date / point-in-time" -> get_financials("MSFT", vantage_date="2024-04-30") Each period cites the SEC filing that reported it (accession + filed date in a footnote; resolvable EDGAR index handles in the `<raw_data>` block), so every figure is traceable to its source filing — except under vantage_date, where a later recast can sit under the vantage-era citation. **Exactness:** the markdown table ABBREVIATES (`$68.14M`) — it quantises to $10K above $1M and $10M above $1B, so it is not a tie-out surface. The `<raw_data>` block carries the exact stored value (`68135000`). Quote figures from `<raw_data>`, not the table, whenever the precise number matters. Responses capped at ~20K chars. If truncated, whole statements are dropped (not sliced) with a note — request fewer statements or reduce years. Note the cap also trims `<raw_data>` periods, so a truncated response can lose the exact channel for the dropped periods. Company-reported **Adjusted EBITDA** (issuer-specific add-backs) is NOT a computed metric here — read the issuer's own reconciliation via get_filing_section (earnings release / MD&A).
{ "type": "object", "required": [ "ticker" ], "properties": { "years": { "type": "integer", "default": 2, "maximum": 10, "minimum": 1, "description": "Years of history (default 2, max 10)" }, "period": { "enum": [ "quarterly", "annual" ], "type": "string", "default": "quarterly", "description": "Time period granularity" }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). Must be exact." }, "statements": { "type": "array", "items": { "enum": [ "income", "balance", "cashflow" ], "type": "string" }, "default": [ "income", "balance", "cashflow" ], "description": "Which statements to include (default: all three)" }, "vantage_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "As-of vantage (YYYY-MM-DD): restrict to filings PUBLISHED on or before this date, and cite the filing that was current then. Omit for the latest. IMPORTANT — this bounds which FILINGS are visible and which SOURCE is cited; it does NOT reconstruct the value as it stood on that date. Values are the LATEST FILED: if a later filing restated or recast a period (including a later 10-K's comparative columns), THAT LATER VALUE IS SERVED under the vantage-era citation. A LOOK-AHEAD warning appears only when the period's own filing was later amended; other recasts are NOT flagged. For the value as known at your vantage, call get_xbrl_facts with the accession_number of the latest filing on or before it that reports the period (list_filings takes vantage_date); period_history=true gives each period's value as originally filed." } }, "additionalProperties": false }arguments 51 linescompare_companies auth-required never probed
Compare a company against peers across ~70 curated fundamental metrics (TTM by default; period_type FY or Q for each company's latest fiscal year or quarter), with percentile rankings and relative strengths/weaknesses. Returns a side-by-side table covering valuation (P/E, P/B, EV/EBITDA, EV/Sales, FCF yield), profitability (gross/operating/net/EBITDA margins, ROE, ROA, ROIC), leverage & liquidity (debt/equity, net debt/EBITDA, interest coverage, current ratio), efficiency (asset/inventory turnover, DSO, cash conversion cycle), and capital returns (dividend yield, dividend payout ratio, buyback yield, shareholder yield). Sector-inapplicable metrics are omitted (e.g. gross margin / FCF leverage for banks). Pass 'metrics' to focus the table on specific metric_ids. For one company's value in an older fiscal year/quarter use get_metric_history. Each company's row is dated: 'Data through' is its latest reported period, and valuation multiples are priced at the last close on/before that period end (period-end LOCF) — NOT today's price, and the dates can differ across peers by a quarter. For a multiple AS OF a specific date, or at the live price, or a CUSTOM definition (e.g. lease-adjusted EV), assemble it from get_stock_price (price leg) + get_metric_history primitives. peer_mode controls peer selection: - 'sector' (default): auto-selected from same sector + similar market cap - 'tags': auto-selected by business model similarity (tag Jaccard) — better for cross-sector comparisons Override with custom_peers for specific matchups. The number of custom_peers is capped by plan (Free: 3, Pro: 10); exceeding it returns the limit and the count you asked for, so retry with that many. Use Cases: - "Compare AAPL vs MSFT" -> compare_companies("AAPL", custom_peers="MSFT") - "How does NVDA stack up in its sector?" -> compare_companies("NVDA") - "Dividend payout ratio: KO vs KDP/PEP/KHC" -> compare_companies("KO", custom_peers="KDP,PEP,KHC", metrics="dividend_payout_ratio,dividend_yield")
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Primary company ticker symbol to compare (e.g., 'AAPL'). Must be exact." }, "metrics": { "type": "string", "description": "Optional comma-separated metric_ids to show instead of the default curated table (e.g. 'dividend_payout_ratio,dividend_yield,ev_ebitda,roa,interest_coverage'). Drawn from the ~70 curated fundamentals. A near-miss such as 'operating_margin' is read as 'oper_margin' and said so; any other unknown id is named in the response with its closest ids. Responses cap at ~20K chars — a subset here (or fewer custom_peers) keeps a large comparison whole." }, "peer_mode": { "enum": [ "sector", "tags" ], "type": "string", "default": "sector", "description": "Peer selection method: 'sector' (same sector + similar market cap, default) or 'tags' (business model similarity — finds companies with overlapping classification tags). Use 'tags' for cross-sector business model comparisons, e.g. NVDA vs AMD/Broadcom instead of NVDA vs MSFT/GOOG." }, "period_type": { "enum": [ "TTM", "FY", "Q" ], "type": "string", "default": "TTM", "description": "'TTM' (default): trailing twelve months. 'FY': each company's latest reported fiscal year. 'Q': each company's latest reported fiscal quarter. Each company is at ITS OWN latest period (fiscal years end in different months, e.g. CRM January, ORCL May), and the 'YoY' rows compare it with the same period a year earlier ('Prior period' row). At 'Q' the ratios annualized from one quarter (P/E, EV multiples, ROE/ROA/ROIC, yields, turnover) are not shown. net_interest_income (banks) is served at FY and Q only. Example: compare_companies(\"JPM\", custom_peers=\"BAC,WFC\", period_type=\"Q\", metrics=\"net_interest_income,net_income\")." }, "custom_peers": { "type": "string", "description": "Optional comma-separated peer tickers (e.g., 'MSFT,GOOG,AMZN'). Auto-selected if omitted." } }, "additionalProperties": false }arguments 40 linesscreen_companies auth-required never probed
Screen 5,500+ US companies by financial metrics. Find stocks matching quantitative criteria. Metric IDs, period types (incl. growth: period_type="ttm.yoy") and sector codes are listed on the `filters` / `sectors` parameters. LATEST-snapshot values; full history via get_metric_history. Tag filtering (required_tags / excluded_tags) selects by business-model classification; unclassified companies are excluded from tag-filtered results. Use Cases: - "High ROIC tech stocks" -> filters=[{metric_id:"roic", operator:"gt", value:0.15}], sectors=["TECH"] - "Undervalued profitable industrials" -> filters=[{metric_id:"pe_ratio", operator:"lt", value:15}, {metric_id:"pe_ratio", operator:"gt", value:0}], sectors=["IND"] - "Revenue growing >10% YoY" -> filters=[{metric_id:"revenues", operator:"gt", value:0.10, period_type:"ttm.yoy"}] - "AI infrastructure companies not exposed to China supply chain" -> required_tags=["ai_ml_infrastructure"], excluded_tags=["china_supply_chain_heavy"] - "Profitable subscription businesses" -> filters=[{metric_id:"net_margin", operator:"gt", value:0.10}], required_tags=["subscription_recurring"] To screen by filing SIGNALS (tone, covenant risk, material weakness, etc.), use screen_filing_signals — a universe-correct cross-company signal screen — then intersect with a metric screen here.
{ "type": "object", "required": [ "filters" ], "properties": { "limit": { "type": "integer", "default": 20, "maximum": 50, "minimum": 1, "description": "Max results (default 20, max 50). Responses cap at ~20K chars: a lower limit or stricter filters keep them whole." }, "filters": { "type": "array", "items": { "type": "object", "required": [ "metric_id", "operator" ], "properties": { "value": { "type": "number", "description": "Threshold value (for gt/gte/lt/lte/eq)" }, "operator": { "enum": [ "gt", "gte", "lt", "lte", "eq", "between" ], "type": "string", "description": "Comparison operator" }, "max_value": { "type": "number", "description": "Max value (for 'between' only)" }, "metric_id": { "type": "string", "description": "Metric identifier. Valuation: pe_ratio, pb_ratio, ev_ebitda, fcf_yield, market_cap, ev. Profitability: gross_margin, oper_margin, net_margin, ebitda_margin, roe, roa, roic. Cash flow: fcf, net_cf_ops, cash_conversion. Balance sheet: debt_to_equity, current_ratio, ttl_debt, ttl_equity, cash_st_invs. Size: revenues, net_income, ebitda, gross_profit. Margins, returns and ROIC are decimals (0.15 = 15%); a negative P/E means losses (add a gt 0 filter to exclude loss-makers)." }, "min_value": { "type": "number", "description": "Min value (for 'between' only)" }, "period_type": { "type": "string", "description": "Period: 'ttm' (default), 'ss' (balance-sheet snapshot), growth pairs revenues/net_income/eps_basic/eps_diluted/fcf/roic @ 'ttm.yoy', revenues/fcf @ 'ttm.cagr3', ttl_assets @ 'ss.yoy', and 'q.med8'/'q.trend8'/'q.stdv8' valuation-quality series (pe_ratio, ev_ebitda, ev_fcf, roic). LATEST-snapshot values only; an unsupported metric+period returns a 422 naming the supported set (full history: get_metric_history)." } }, "additionalProperties": false }, "description": "Metric filters" }, "sectors": { "type": "array", "items": { "type": "string" }, "description": "Sector codes: TECH, FIN, HEALTH, CONS_STAPLES, CONS_DISC, IND, ENERGY, UTIL, RE, MAT, COMM." }, "sort_by": { "type": "string", "description": "Metric ID to sort by (default: 'market_cap')" }, "excluded_tags": { "type": "array", "items": { "type": "string" }, "description": "Classification tags results must NOT have (e.g., ['china_supply_chain_heavy', 'regulated_industry'])." }, "required_tags": { "type": "array", "items": { "type": "string" }, "description": "Classification tags all results must have (e.g., ['ai_ml_infrastructure', 'subscription_recurring']). Tags: cloud_infrastructure, saas_enterprise, saas_smb, marketplace_platform, semiconductor_design, semiconductor_foundry, financial_services_traditional, insurance_carrier, investment_management, pharmaceutical_discovery, medical_devices, retail_physical, ecommerce_direct, media_streaming, subscription_recurring, usage_based, hardware_sale, transaction_fee, advertising_based, government_contract, services_project, ai_ml_core_product, ai_ml_infrastructure, semiconductor_advanced_node, data_center_hyperscale, cybersecurity, autonomous_vehicles, electric_vehicle, renewable_energy, biotech_genomics, mrna_platform, robotics_automation, enterprise_b2b_large, smb_focused, consumer_direct, developer_platform, china_revenue_heavy, china_supply_chain_heavy, us_domestic_only, global_diversified, regulated_industry, export_controlled, dual_use_technology, foreign_private_issuer, holding_company_structure." } }, "additionalProperties": false }arguments 87 linesget_filing_section auth-required 2h ago
Use this when the user asks what a 10-K, 10-Q or 8-K says — risk factors, MD&A, the business description, an earnings release and its guidance / outlook, an 8-K event, a proxy (DEF 14A) — and for earnings call transcript Q&A or prepared remarks, where MetricDuck has the transcript. Returns the section's text, paginated, from the latest filing or a specific one. **Two modes:** 1. **Section mode (default)** — pass section_id for the section's text (up to 10 chunks per page). Valid ids are listed under `section_id`. 2. **Outline mode** — OMIT section_id, pass accession_number: returns the filing's section list with short previews, so you pick by content instead of guessing an id (multi-exhibit 8-K, DEF 14A, 6-K). Omitting accession_number reads the latest filing; `list_filings` finds a specific one. Use Cases: - "Apple risk factors" -> get_filing_section("AAPL", "risk_factors") - "Customer concentration in NVDA" -> get_filing_section("NVDA", "risk_factors", query="customer concentration") - "What did analysts ask on NVDA's last call?" -> get_filing_section("NVDA", "transcript_qa_session") - "Workforce / headcount by geography" -> get_filing_section("MSFT", "business_description", query="human capital") - "M&A terms" -> get_filing_section("CVX", "item_1_01_material_agreement", form_type="8-K") - "As of a past date / point-in-time" -> get_filing_section("MSFT", "business_description", vantage_date="2025-04-07") - "Multi-exhibit 8-K" -> get_filing_section(ticker, accession_number="...") (outline mode) → pick exhibit → drill by section_id Related: earnings-call trends across quarters → `compare_earnings_calls`; slide-deck guidance / KPIs (in neither the filing nor XBRL) → `get_ir_documents`; risk factors vs a prior year → read both years (`fiscal_year`); a figure missing from the section you expected → `search_sec_filings(company=<ticker/CIK>, query="exact phrase")` finds which section of which filing has it.
{ "type": "object", "properties": { "cik": { "type": "string", "pattern": "^\\d{1,10}$", "description": "10-digit SEC CIK as an alternative to ticker — use for delisted/acquired companies (e.g. Activision cik='0000718877') whose ticker no longer resolves." }, "query": { "type": "string", "description": "Keyword to search within section chunks (e.g., 'customer concentration', 'export control'). Returns the chunks that contain every word (order-free); when none does, returns the closest chunks under a note saying so." }, "offset": { "type": "integer", "default": 0, "minimum": 0, "description": "Chunk offset for pagination (default 0)" }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). Required unless cik is provided." }, "form_type": { "enum": [ "10-K", "10-Q", "8-K", "DEF 14A", "20-F", "40-F", "6-K" ], "type": "string", "description": "Form type filter (picks the latest of that type when accession_number is omitted). 20-F/40-F/6-K cover foreign private issuers. Other forms (424B2, FWP, 13F-HR, 4): search_sec_filings(query, company, form_type, sections=false) links the filing on EDGAR (company: the 10-digit CIK; date_from for older filings)." }, "max_chars": { "type": "integer", "default": 20000, "maximum": 60000, "minimum": 2000, "description": "Soft response-size cap (default 20,000 chars). The anchor is always served in full; companions are appended in priority order and truncated with a follow-up-call marker. Raise only when you need wider context." }, "max_chunks": { "type": "integer", "default": 10, "maximum": 10, "minimum": 1, "description": "Chunks per page (default 10, max 10)" }, "section_id": { "type": "string", "description": "Section ID — omit it (with `accession_number` set) for outline mode. Common IDs by category:\n\n**10-K / 10-Q core:** `risk_factors`, `business_description`, `mda_full`, `mda_results_operations`, `mda_liquidity`, `mda_outlook`, `mda_critical_accounting`, `legal_proceedings`, `market_risk`, `controls_procedures`, `cybersecurity`, `properties`, `signature_officers`\n ↳ Human Capital / headcount lives in `business_description` (Item 1) — there is no `human_capital` id; use `query=\"human capital\"`.\n\n**Footnotes:** `footnote_revenue`, `footnote_segment`, `footnote_debt`, `footnote_accounting_policies`, `footnote_commitments`, `footnote_stock_comp`, `footnote_income_tax`, `footnote_leases`, `footnote_goodwill`, `footnote_business_combinations`, `footnote_fair_value`, `footnote_related_party`\n\n**Data tables:** `table_revenue_disaggregation`, `table_segment_reporting`, `table_eps`, `table_deferred_taxes`, `table_ppe`, `table_fair_value`, `table_goodwill`, `table_lease_costs`, `table_contract_assets`, `table_debt_maturities`\n ↳ These carve the numeric tables OUT of the parent footnote, so the matching `footnote_*` may be PROSE-ONLY — query the `table_*` id for a disaggregated figure. A 10-K's segment schedule carries THREE fiscal years, so one filing is not the whole series.\n ↳ ⚠ Consolidated income-statement cost lines (`earnings_income_statement`, the 10-Q statements) are COMPANY-WIDE, not per-segment.\n\n**8-K earnings release:** `earnings_document_map`, `earnings_press_release`, `earnings_guidance`, `earnings_guidance_prose`, `earnings_income_statement`, `earnings_balance_sheet`, `earnings_cash_flow`, `earnings_segment_data`, `earnings_gaap_reconciliation`, `earnings_supplemental_tables`, `earnings_full_text`\n ↳ `earnings_guidance` = the outlook TABLE, `earnings_guidance_prose` its prose sibling — check both. `earnings_full_text` = the whole release in one searchable section — the residual fallback when a guided figure was mis-classified into another id.\n\n**8-K events:** `item_1_01_material_agreement`, `item_2_01_acquisition`, `item_2_01_exhibit_2_1`, `item_2_01_exhibit_99_1`, `item_2_03_financial_obligation`, `item_3_03_material_modification`, `item_5_02_executive_changes`, `item_5_03_articles_amendment`, `item_5_07_shareholder_votes`, `item_8_01_other_events`\n ↳ Exhibits are `item_<event>_exhibit_<major>_<minor>` (non-padded minor). Every non-earnings 8-K carries an **`exhibit_manifest`** listing every exhibit with its section_id, or an EDGAR link when link-only — read it before guessing.\n\n**Earnings call transcript:** `transcript_prepared_remarks`, `transcript_qa_session`, `transcript_guidance`\n\n**DEF 14A proxy:** `proxy_cd_and_a`, `proxy_compensation_table`, `proxy_peer_group`, `proxy_ceo_pay_ratio`, `proxy_pay_vs_performance`, `proxy_board_composition`, `proxy_shareholder_proposals`, `proxy_say_on_pay`\n\n**Risk vs risk management:** `risk_factors` lists what risks exist; for risk MANAGEMENT / mitigation read `mda_full` with `query` (e.g. 'risk management'). `mda_full` is the complete MD&A — use it when a subsection (`mda_results_operations`, `mda_liquidity`) comes back empty or thin.\n**20-F / foreign filer:** `mda_operating_results`, `mda_trend_information`, `mda_research_development`, `business_overview`, `business_organizational_structure`, `major_shareholders`, `directors_management`\n\n**FPI 6-K interim metrics:** `interim_monthly_revenue` (TSM monthly revenue release — primary doc text + inline NT$ table)\n\n**Accounting standard:** chunks carry `accounting_standard` (`US-GAAP` / `IFRS`), populated for FPI extractions, NULL for domestic 10-K/Q (implicitly US-GAAP) — read it before comparing ratios across filer types." }, "char_offset": { "type": "integer", "default": 0, "minimum": 0, "description": "Within-chunk character offset (default 0). A chunk exceeding max_chars serves a char-window and emits a `char_offset` cursor — pass it back with the same `offset` to read deeper. Ignored on normal chunks." }, "fiscal_year": { "type": "integer", "description": "Fiscal year to look up (e.g., 2023). Resolves to that fiscal year's filing via the XBRL period index — correct for non-calendar fiscal years (e.g. a 10-K filed Feb 2024 covers FY2023, not FY2024). Combine with fiscal_period for a specific quarter; omit fiscal_period to get the annual 10-K. Ignored if accession_number provided. DEF 14A / non-XBRL forms are not period-indexed — for those use accession_number (via list_filings), or vantage_date for as-of-date retrieval." }, "vantage_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "As-of vantage (YYYY-MM-DD): serve the latest filing filed ON OR BEFORE this date — don't assume the newest filing reflects a past vantage. Omit for the latest. Ignored if accession_number is provided." }, "fiscal_period": { "enum": [ "Q1", "Q2", "Q3", "Q4", "FY" ], "type": "string", "description": "Fiscal period: 'Q1'/'Q2'/'Q3' for a quarter's 10-Q, or 'FY' for the annual 10-K (the default when omitted). Resolved via the XBRL DEI period index (correct for non-calendar fiscal years). The fourth quarter is reported in the annual 10-K — 'Q4' is treated as 'FY'. Use with fiscal_year. Ignored if accession_number provided." }, "preview_chars": { "type": "integer", "default": 120, "maximum": 200, "minimum": 0, "description": "Outline-mode preview length per section (default 120 ≈ 25 words). Ignored when section_id is provided." }, "accession_number": { "type": "string", "description": "Filing accession number from list_filings. Latest filing used if omitted." }, "include_delisted": { "type": "boolean", "description": "Query a delisted/acquired company by its old ticker. Default false returns a structured delisted error pointing at the CIK." }, "include_companions": { "type": "boolean", "default": false, "description": "With section_id='item_1_01_material_agreement' on an 8-K anchor: also return text from same-day same-issuer companion 8-Ks (7.01 Reg FD + Ex 99 / 8.01). Default false = anchor only." }, "companion_accessions": { "type": "array", "items": { "type": "string" }, "description": "Explicit companion accessions (from a `screen_filing_signals` row's `value.companion_accessions`). With `include_companions=true`, skips the discovery hop — halves the round-trips if you already screened." } }, "additionalProperties": false }arguments 109 linesscreen_filing_signals auth-required never probed
Use this when the user asks which companies show a red flag or event across filings, earnings releases or earnings calls — "which companies lowered guidance?", "who has covenant risk or debt coming due?", "which tech companies sound cautious?", "who announced M&A or a partnership?" — or what has flagged for one company recently (`ticker`). Not metric screening (P/E, ROIC: use screen_companies). Most signals are LLM-classified, not computed facts. Signals come from 10-K/10-Q filings, 8-K/6-K earnings releases, earnings-call transcripts, 8-K M&A / partnership announcements and DEF 14A proxies. Ids and labels: see the `signals` parameter. Use Cases: - "Which tech companies have cautious management?" -> signals=["tone_cautious"], sectors=["TECH"] - "Who lowered guidance in an earnings release this month?" -> signals=["earnings_guidance_lowered_8k"], recency_days=30 - "Any filing red flags for NVDA lately?" -> ticker="NVDA", signals=["tone_cautious", "covenant_risk", "debt_maturity_near"], match_mode="any" - "Companies that gave specific guidance on calls?" -> signals=["transcript_has_guidance"] - "Which companies announced strategic partnerships or M&A deals?" -> signals=["ir_partnership"] M&A / partnership rows: an `ir_partnership` match on an 8-K Item 1.01 may carry `companion_accessions` — same-day 8-Ks (7.01 / 8.01, Ex 99 press release) holding the deal terms and CEO quotes. Read them with get_filing_section(ticker, section_id="item_1_01_material_agreement", accession_number=<the row's accession>, include_companions=true, companion_accessions=[...]). An empty list means none was found; the anchor alone still reads.
{ "type": "object", "required": [ "signals" ], "properties": { "limit": { "type": "integer", "default": 20, "maximum": 50, "minimum": 1, "description": "Max results (default: 20)" }, "ticker": { "type": "string", "description": "Filter to a single ticker (e.g. 'NVDA'). Use for per-ticker cross-source signal inventory. Omit to screen across all companies." }, "sectors": { "type": "array", "items": { "type": "string" }, "description": "Sector codes: TECH, HEALTH, FIN, RE, CONS_DISC, CONS_STAPLES, IND, MAT, ENERGY, UTIL, TRANSPORT, COMM, OTHER" }, "signals": { "type": "array", "items": { "enum": [ "tone_cautious", "customer_concentration_high", "covenant_risk", "debt_maturity_near", "dividend_coverage_weak", "sbc_unhedged", "has_fuel_sensitivity", "earnings_revenue_grew", "earnings_revenue_declined", "earnings_margin_expanded", "earnings_margin_contracted", "earnings_guidance_raised_8k", "earnings_guidance_lowered_8k", "earnings_has_special_items", "earnings_accrual_concerning", "earnings_has_capital_return", "transcript_has_guidance", "transcript_has_prepared_remarks", "transcript_has_analyst_questions", "transcript_guidance_raised", "transcript_guidance_lowered", "transcript_has_revenue_decompositions", "transcript_qa_concerns_retained", "transcript_qa_forward_committed", "mda_has_scale_claims", "ir_partnership", "def14a_peer_group", "def14a_ceo_pay_ratio" ], "type": "string" }, "description": "Signal filters to match. Pass one or more ids EXACTLY as listed below (only these are screenable).\nOmit `ticker` to screen the whole universe for a signal (the common case); pass `ticker` only to check ONE company — don't loop company-by-company.\n\n**Filing signals (10-K/10-Q):**\n- `tone_cautious` — Management tone is cautious/defensive\n- `customer_concentration_high` — Customer concentration > 20% or elevated risk\n- `covenant_risk` — Covenant tight, waiver obtained, or violation\n- `debt_maturity_near` — Significant debt maturing within 12 months\n- `dividend_coverage_weak` — Dividend coverage below operating cash flow\n- `sbc_unhedged` — Stock comp exceeds buybacks (net dilution)\n- `has_fuel_sensitivity` — Fuel cost sensitivity quantified in MD&A\n- `mda_has_scale_claims` — ≥3 quantified operational scale claims extracted from MD&A narrative (e.g. renewal rates, member counts, comp sales)\n\n**Earnings releases (8-K Item 2.02 + 6-K Ex 99.1):**\n- `earnings_revenue_grew` — Revenue grew year-over-year\n- `earnings_revenue_declined` — Revenue declined year-over-year\n- `earnings_margin_expanded` — Operating or gross margin expanded vs prior year\n- `earnings_margin_contracted` — Operating or gross margin contracted vs prior year\n- `earnings_guidance_raised_8k` — Forward guidance raised in earnings release\n- `earnings_guidance_lowered_8k` — Forward guidance lowered in earnings release\n- `earnings_has_special_items` — Non-recurring charges or special items disclosed\n- `earnings_accrual_concerning` — Accrual quality weak or concerning (cash vs earnings divergence)\n- `earnings_has_capital_return` — Shareholder capital returned (buybacks and/or dividends)\n\n**Earnings call transcript:**\n- `transcript_has_guidance` — Specific guidance given on earnings call\n- `transcript_has_prepared_remarks` — Prepared remarks available (true for all transcript sources)\n- `transcript_has_analyst_questions` — Analyst Q&A captured with topics + firms\n- `transcript_guidance_raised` — ≥1 guidance item raised vs prior quarter (from transcript)\n- `transcript_guidance_lowered` — ≥1 guidance item lowered vs prior quarter (from transcript)\n- `transcript_has_revenue_decompositions` — Segment-level revenue decomposed into quantified drivers (volume / price / mix / FX / M&A) on call\n- `transcript_qa_concerns_retained` — ≥2 analysts left with concerns retained after Q&A\n- `transcript_qa_forward_committed` — ≥2 executive responses with forward-looking commitments on call (count-based; transcript_has_forward_commits exposes the underlying instances)\n\n**IR events:**\n- `ir_partnership` — Strategic partnerships announced\n\n**DEF 14A proxy:**\n- `def14a_peer_group` — Compensation peer group disclosed (with company names)\n- `def14a_ceo_pay_ratio` — CEO pay ratio disclosed" }, "order_by": { "enum": [ "recency", "market_cap" ], "type": "string", "default": "recency", "description": "Result ordering. 'recency' (default) = event_date/filing_date DESC; 'market_cap' = market-cap DESC NULLS LAST with a recency tiebreak — use it so high-impact filings aren't pushed past the limit by fresher small-cap noise." }, "match_mode": { "enum": [ "all", "any" ], "type": "string", "default": "all", "description": "Match semantics within a source type. 'all' (default) = every requested signal fires on the SAME row (targeted screening); 'any' = at least one fires (broadcast discovery / digest pools)." }, "since_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Lower bound (inclusive, YYYY-MM-DD) on event_date / filing_date. With until_date, defines an explicit range that OVERRIDES recency_days — use for historical windows, backfilling past digests, or comparing two windows to detect cross-period signal change." }, "until_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Upper bound (inclusive, YYYY-MM-DD). With since_date, overrides recency_days." }, "recency_days": { "type": "integer", "default": 90, "maximum": 365, "minimum": 1, "description": "Only filings from last N days (default: 90)" }, "agreement_type_filter": { "enum": [ "partnership_strategic", "partnership_supply", "partnership_jv", "partnership_amendment", "warrant_issuance", "m_and_a_announcement", "m_and_a_amendment", "m_and_a_termination", "m_and_a_close", "other" ], "type": "string", "description": "Discriminator for `ir_partnership` signals — e.g. 'm_and_a_announcement' for fresh M&A deals, 'partnership_strategic' for alliances. Ignored for non-IR signals." } }, "additionalProperties": false }arguments 115 linesget_guidance_vs_actual auth-required never probed
Did management deliver what they guided? Joins forward guidance from earnings-call transcripts to reported actuals from 10-K/10-Q + 8-K earnings for the same ticker + fiscal period. Returns both sides verbatim with quotes and locators. Use Cases: - "Did NVDA deliver on Q2 FY2026 guidance?" -> get_guidance_vs_actual("NVDA", fiscal_period="Q2 FY2026") - "How disciplined has MSFT been against its own guidance?" -> get_guidance_vs_actual("MSFT") then compare across periods - "Latest period's guidance-vs-actual" -> get_guidance_vs_actual("TSLA") (period defaults to most recent) Returns everything a beat/miss verdict needs — never the verdict: the comparison is basis-matched, as-reported arithmetic, and whether "above guidance" is good is the caller's judgment. Output: - Guidance: forward items targeting the period — from earnings-call transcripts AND 8-K earnings releases (metric, value/range, basis, period, verbatim quote, source). - Actuals: SEC 10-Q/K metric + narrative signals for that period, plus 8-K earnings signals when present. - Comparison: for each guidance item, when it can be recomputed from the receipts on its OWN basis (GAAP vs non-GAAP matched, units aligned, period settled) — a neutral `range_position` (above | within | below the guided band) + signed `delta`. Otherwise a typed `status` says why NOT (no_actual_on_basis / not_yet_settled / value_unparsed / period_unresolved / value_incongruent) — never a false or guessed verdict. A non-GAAP guide is never compared to a GAAP actual. - Notes: calls/filings covered + comparison statuses, so you know coverage depth before interpreting. Not point-in-time: the join uses everything stored today; for as-of work use a tool that takes `vantage_date` (e.g. get_earnings, get_financials).
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'NVDA'). Must be exact." }, "fiscal_period": { "type": "string", "description": "Target fiscal period, e.g. \"Q2 FY2026\". If omitted, defaults to the most recent period with SEC filing actuals, or to a newer quarter whose 8-K earnings release is out when guidance targets it." } }, "additionalProperties": false }arguments 17 linescompare_earnings_calls auth-required never probed
How has management's posture shifted across recent earnings calls? Cross-quarter trajectory view of transcript signals for a single ticker. This is MetricDuck's EARNINGS-CALL TRANSCRIPT tool (agents also look for this as get_earnings_call_transcript / get_earnings_transcript / get_earnings_call / search_earnings_calls). It aligns calls by event date and surfaces CROSS-QUARTER patterns; for ONE call's verbatim prepared remarks or Q&A, drill with get_filing_section(section_id="transcript_prepared_remarks" | "transcript_qa_session"). Output (coverage-dependent): a coverage table per quarter — event date, fiscal period, accession, status, and transcript Source tier (SEC-filed vs Issuer-published vs Machine-transcribed), surfacing NO_TRANSCRIPT / WAITING gaps (transcripts are management commentary, not SEC-filed facts). Then an aggregate-trajectory table (Q&A Deflection / Concerns Retained / Forward Commits — one row per scalar, one column per quarter), guidance deltas grouped by metric, and the per-quarter qualitative arrays for whichever dimensions you request, side-by-side so drift reads across columns. Drill hints are pinned to accessions. Use Cases: - "Deflection trend?" -> compare_earnings_calls("RDDT", n_quarters=8, dimensions=["hedges", "qa"]) - "Guidance discipline shifting?" -> compare_earnings_calls("NVDA", dimensions=["guidance"]) - "Strategic priorities + KPIs drift" -> compare_earnings_calls("PG", dimensions=["priorities", "kpi"]) For signal changes across many companies between two windows, use `screen_filing_signals` with since_date/until_date.
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'NVDA'). Must be exact." }, "dimensions": { "type": "array", "items": { "enum": [ "guidance", "hedges", "qa", "priorities", "macro", "competitive", "scale_claims", "revdecomp", "kpi", "capital_allocation", "scenarios", "forward_commits", "customer_cohort" ], "type": "string" }, "description": "Filter to specific trajectory axes; every axis is a per-quarter series. Omit for all. guidance: forward guidance items with delta_vs_prior. hedges: Q&A deflection rate. qa: Q&A Exchange Analyzer aggregates (analyst questions, concerns, concerns retained, forward commits). priorities: ranked strategic priorities. macro: macro factor responses (factor + stance + drift tag). competitive: competitive mentions (competitor + context_type + drift tag). scale_claims: quantified scale claims (metric_name + value + direction). revdecomp: segment revenue decompositions (segment + period_type + total_growth). kpi: issuer-disclosed operating KPIs (kpi_name + value). capital_allocation: forward capital-allocation postures (buyback cadence, leverage targets, funding rationale, capex, M&A). scenarios: conditional scenario sensitivities (trigger event + impacts on revenue / EBITDA / margin / EPS). forward_commits: calendar-anchored forward commitments (speaker + analyst + verbatim excerpt). customer_cohort: customer-cohort disclosures (deals above an ACV/NACV threshold, threshold-crossing flow, top-N attach, new-logo growth)." }, "n_quarters": { "type": "integer", "default": 4, "maximum": 8, "minimum": 2, "description": "How many most-recent earnings calls to compare (default: 4, min: 2, max: 8)." }, "vantage_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "As-of vantage (YYYY-MM-DD): compare only calls reported ON OR BEFORE this date, window anchored there rather than today — don't assume the latest calls reflect a past vantage. Omit for the most recent." } }, "additionalProperties": false }arguments 47 linesget_company_events auth-required never probed
Retrieve a company's IR event CALENDAR — UPCOMING and PAST investor-relations events (earnings calls, annual/shareholder meetings, broker conferences, investor days) with the materials attached to each (deck, webcast, press release, transcript). Reach for this for calendar questions: - "When does {ticker} next report / hold its earnings call?" → the UPCOMING list (scheduled events) - "What IR events did {ticker} have this year?" / "was {ticker} at any conferences?" - "What materials are attached to {ticker}'s last earnings event?" Each event has: occurred_at (issuer-local datetime) + time_precision, event_type (verbatim/open vocab), the verbatim source title, and material chips — each material's `material_id` is the get_ir_documents doc_id (read a deck's slide TEXT with get_ir_documents, not here). Coverage is honest: if a company hasn't been harvested yet, that is stated — an empty result does NOT mean the company has no IR events. `last_checked_at` stamps the calendar's as-of time (events announced since are not shown). When the calendar has no events, the company's results announcements filed with the SEC (8-K Item 2.02 — usually the quarterly earnings release; last 24 months) are listed instead — past filing dates that show its reporting cadence, not a scheduled date. What management SAID on earnings calls (guidance/tone by quarter) → compare_earnings_calls. Not point-in-time: upcoming vs past is relative to today; for as-of work use a tool that takes `vantage_date` (e.g. list_filings, get_earnings).
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). Required." } }, "additionalProperties": false }arguments 13 linesget_earnings_reports auth-required never probed
Per-fiscal-period earnings DOCUMENT INDEX — one row per quarter/year gathering the documents for that reporting period: the 8-K press release, the earnings-call transcript (with prepared-remarks / Q&A deep-links), the 10-Q/10-K, the IR presentation deck(s), and the webcast event. Each artifact is present or honestly absent: the "what can I pull for this quarter, and how do I reach it" map. Reach for this to answer "what's available / where do I read it" per period: - "What documents does {ticker} have for its last earnings?" → the newest row's artifacts - "Give me {ticker}'s earnings transcripts / decks by quarter" → the per-period transcript + deck links - "Is there a webcast / presentation deck for {ticker}'s Q2?" → that row's webcast + deck cells A NAVIGATION index, not figures: release NUMBERS → get_earnings; audited statements → get_financials; the IR event CALENDAR → get_company_events; a deck's slide TEXT → get_ir_documents; what management SAID on calls → compare_earnings_calls. Coverage is honest per cell: a transcript reads present/pending/none; a deck join is exact (fiscal period, never a date); a webcast is a single-candidate ±1d match — and when the IR calendar isn't harvested that is stated (a missing webcast is NOT "no webcast held"). Not point-in-time: documents as known today; for as-of work use a tool that takes `vantage_date` (e.g. get_earnings, list_filings).
{ "type": "object", "required": [ "ticker" ], "properties": { "limit": { "type": "integer", "maximum": 40, "minimum": 1, "description": "Most-recent fiscal periods to return (newest first). Default 12." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'MRK'). Required." } }, "additionalProperties": false }arguments 19 lineslist_recent_filings auth-required never probed
Use this when the user asks what SEC filings came out recently — "any new 10-Ks, 10-Qs or 8-Ks this week?", "which of my portfolio companies filed since Monday?", "who reported earnings today?" — across all companies or a list of tickers, in one call. Also the building block for alerts and daily portfolio checks. **Returns:** a flat list of {ticker, accession, filed_at, form_type, form_subtype}, newest filing date first and **largest companies first within a date** — so `limit=15` during earnings week surfaces the banks and mega-caps that filed, not alphabetically-first micro-caps. `form_subtype` classifies 8-Ks (values under `form_subtypes`); null for other forms. **Portfolio filter:** `tickers` (an array); `ticker="TSM"` is accepted as an alias. Both given = union, cap 50. One call covers the portfolio — no per-ticker `list_filings` fan-out. Read a row's filing with `get_filing_section(ticker, accession_number=...)` — omit `section_id` for its section outline. For every filing of ONE company, use `list_filings`. Not point-in-time: the live feed as of today (one company as of a past date: `list_filings` with `vantage_date`).
{ "type": "object", "required": [ "since" ], "properties": { "limit": { "type": "integer", "default": 50, "maximum": 100, "minimum": 1, "description": "Max results (default 50, max 100). Sorted newest filing date first, then by company size, so a small limit still surfaces the largest issuers that filed." }, "since": { "type": "string", "description": "Filing date floor (inclusive): the SEC filing date, not the date MetricDuck extracted it. YYYY-MM-DD. Required. A small share of filings (mostly 8-K and 6-K exhibits) are extracted days or weeks after their filing date, so a poll from your last poll's date misses them: look back up to a month and dedupe by accession." }, "ticker": { "type": "string", "description": "Single-ticker alias of `tickers`. Both may be given (union, cap 50)." }, "tickers": { "type": "array", "items": { "type": "string" }, "maxItems": 50, "description": "Optional portfolio filter. Up to 50 tickers. Omit to scan the full universe." }, "form_types": { "type": "array", "items": { "type": "string" }, "description": "Filter by SEC form type. Examples: ['8-K'], ['8-K', '10-Q'], ['10-K']. Omit to include all form types." }, "form_subtypes": { "type": "array", "items": { "enum": [ "8-K-earnings", "8-K-transcript", "8-K-event", "8-K-other" ], "type": "string" }, "description": "Filter by 8-K sub-type derived from section inventory. '8-K-earnings' = earnings release; '8-K-transcript' = earnings call transcript; '8-K-event' = M&A / executive changes / debt; '8-K-other' = misc. Implies 8-K filings only. Omit to include all subtypes." } }, "additionalProperties": false }arguments 52 linessend_feedback auth-required never probed
Call ONLY when the user asks to send feedback to MetricDuck. Pass the user's words in message; set source=user when the user wrote it, model when you summarised it. Sends the text to the MetricDuck team.
{ "type": "object", "required": [ "category", "message", "source" ], "properties": { "source": { "enum": [ "user", "model" ], "type": "string", "description": "user = the user wrote the message; model = you summarised what the user said." }, "message": { "type": "string", "maxLength": 1000, "minLength": 1, "description": "The feedback, in the user's words where possible. At most 1000 characters." }, "category": { "enum": [ "missing_data", "wrong_value", "missing_capability", "other" ], "type": "string", "description": "missing_data (a company, period or figure MetricDuck lacks), wrong_value (a figure looks wrong), missing_capability (something MetricDuck cannot do), or other." } }, "additionalProperties": false }arguments 35 linesget_xbrl_facts auth-required never probed
Use this when the user asks for a number the standard statements don't break out — revenue by segment, geography, product or customer, customer concentration, an industry metric (medical cost ratio, reserve replacement ratio) — or a figure exactly as filed in a 10-K / 10-Q. Searches the raw XBRL facts (~3,000 per filing, with dimensional breakdowns); for standard statements and the 250+ standard metrics, `get_financials` is faster. - Breakdowns exist only where the filer tags them (usually revenue + segment profit / Adjusted EBITDA). - **Revenue concentration / share** by customer, channel, distributor, geography or product: search `concentration` (as-filed `ConcentrationRiskPercentage`, present even when the prose is qualitative). - A past filing: the default is the latest filing as of TODAY; pin `accession_number` or `fiscal_year`/`fiscal_period`. - A standalone quarter from a cumulative YTD line: `period_history: true` (recipe on that parameter). **Sign — read before quoting a direction.** `<raw_data>.value` is the raw as-filed value: a positive magnitude for outflow / contra-asset concepts (`PaymentsTo…`, capex, accumulated depreciation) but **signed by construction** for the `IncreaseDecreaseIn…` working-capital family. Where a negative value carries the negated-label role, the table shows the filed face instead. `(filed −)` is a per-concept **hint, not a guarantee**: it fires wherever the filing presents that concept negatively *anywhere* (e.g. TXN's tax provision, whose face reads `709`). When direction is load-bearing, check the `edgar` fact link or use `get_financials` (a curated statement-sign map). **Share counts:** the **dei** `EntityCommonStockSharesOutstanding` ("cover-page / current", as of the filing date) is for market cap and equity value; the **us-gaap** `CommonStockSharesOutstanding` is the **balance-sheet period-end** count; `WeightedAverageNumberOf…SharesOutstanding` is the per-period EPS average. They can differ a few % — match the Period column to your task.
{ "type": "object", "required": [ "ticker", "search" ], "properties": { "limit": { "type": "integer", "default": 50, "maximum": 200, "minimum": 1, "description": "Maximum facts to return (default 50, max 200)" }, "search": { "type": "string", "description": "Search XBRL concepts by label or name. SPACES INSIDE A TERM ARE 'AND' — every word must appear somewhere in the fact's concept name, label, OR its dimension axis/member labels AS THE FILER WROTE THEM. Commas are OR ('goodwill,impairment'). So adding a category word to narrow a search can silently DROP the series you want: the filer may name the axis something else entirely (AutoNation tags reporting-unit goodwill on 'Goodwill Reporting Units', so 'goodwill segment' eliminates it while 'goodwill' finds it). PREFER ONE WORD and filter the results yourself; widen if a multi-word search returns suspiciously few facts. Examples: 'goodwill', 'medical cost ratio', 'goodwill,impairment', 'concentration' (revenue share by customer / channel / distributor / geography / product)." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'UNH', 'AAPL'). Must be exact." }, "form_type": { "enum": [ "10-K", "10-Q", "20-F", "40-F", "6-K" ], "type": "string", "default": "10-K", "description": "Filing type when auto-resolving (ignored if accession_number provided). Default: 10-K (annual). FPI filers: 20-F/40-F (annual) or 6-K (interim) — the backend auto-resolves the right form family, so the default also serves FPIs." }, "fiscal_year": { "type": "integer", "description": "Fiscal year to look up (e.g., 2022). If omitted, uses the latest filing. Ignored if accession_number provided." }, "fiscal_period": { "enum": [ "Q1", "Q2", "Q3", "Q4", "FY" ], "type": "string", "description": "Pin the exact period when resolving by fiscal_year (Q1/Q2/Q3/Q4/FY). WITHOUT it, fiscal_year resolves to the LATEST filing of that year — wrong for 'as of <quarter>' questions (use this to get the right quarter's balance/figure). Ignored if accession_number or period_history is set. (For a concept's value across ALL periods at once, use period_history instead.)" }, "period_history": { "type": "boolean", "default": false, "description": "Return the searched concept's full as-filed series ACROSS filings (every period: quarter, 6-month YTD, 9-month YTD, FY) instead of one filing's facts. Use this to de-cumulate a cumulative cash-flow / income line into a standalone quarter — e.g. Q2 cash paid for acquisitions = the 6-month YTD minus the Q1 3-month (both shown, sharing the same start date). Requires search; ignores accession_number / fiscal_year." }, "accession_number": { "type": "string", "description": "Specific filing accession number (from list_filings — which takes vantage_date, so it gives the filing current as of a past date). If omitted, resolves automatically from form_type + fiscal_year (latest filing as of today)." } }, "additionalProperties": false }arguments 61 lineslist_filings auth-required 2h ago
Use this when the user asks which filings a company has made — its 10-K annual reports, 10-Q quarterly reports, 8-K current reports (earnings releases, events, call transcripts), proxy statements (DEF 14A), or 20-F / 40-F / 6-K for foreign issuers — or needs one specific past filing. Returns each filing's form type, dates and accession number, plus per-section sizes (words, chunks, tables) for 10-K / 10-Q / DEF 14A; 8-Ks return filing metadata only. Default: last 2 years; data from 2013. Use it to: - get the accession_number of a specific past filing (for `get_filing_section` or `get_xbrl_facts`) - pin one periodic filing (10-K / 10-Q, e.g. FY2020 Q3) with `fiscal_year` + `fiscal_period` — 8-K sub-types are not period-indexed, so pair `form_subtype` with `years` instead - see the section inventory with sizes, or confirm a filing exists For what matters in the latest filing use `get_filing_index`; for earnings-call trends, `compare_earnings_calls`. **Delisted / acquired companies**: pass `cik` (10-digit, zero-padded) instead of `ticker` and set `include_delisted=true`. SEC's ticker registry excludes delisted issuers, so `ticker`-only calls 404 even when MetricDuck holds the filings. Example: Spirit Airlines (`cik="0001498710"`). Responses capped at ~20K chars; narrow via `form_type`, `fiscal_year`, or fewer `years`.
{ "type": "object", "properties": { "cik": { "type": "string", "pattern": "^\\d{1,10}$", "description": "10-digit SEC CIK as alternative to ticker. Use for delisted/acquired companies (e.g., Z=Zillow ticker may not resolve; pass cik='0001617640' instead). Either ticker or cik required." }, "years": { "type": "integer", "default": 2, "maximum": 7, "minimum": 1, "description": "Years of filing history (default 2, max 7). Ignored when fiscal_year is set." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). Must be exact. Either ticker or cik required." }, "form_type": { "enum": [ "10-K", "10-Q", "8-K", "DEF 14A", "20-F", "40-F", "6-K" ], "type": "string", "description": "Filter by form type: 10-K annual, 10-Q quarterly, 8-K current reports, DEF 14A proxy; 20-F/40-F annual and 6-K interim for foreign private issuers. Other forms (424B2, FWP, 13F-HR, 4): search_sec_filings(query, company, form_type, sections=false) links the filing on EDGAR (company: the 10-digit CIK; date_from for older filings)." }, "fiscal_year": { "type": "integer", "description": "Pick a specific fiscal year (e.g., 2020). Resolved via the XBRL period index — correct for non-calendar fiscal years (a 10-K filed Feb 2024 is FY2023). Alone, lists all of that fiscal year's filings (10-K + its 10-Qs); combine with fiscal_period to pin one. Overrides years. DEF 14A / non-XBRL forms are not period-indexed. Data horizon: 2013+." }, "form_subtype": { "enum": [ "8-K-earnings", "8-K-event", "8-K-transcript", "8-K-other" ], "type": "string", "description": "Filter 8-K filings by sub-type (derived from section inventory): earnings releases; event = M&A / exec changes / debt; transcript = earnings calls; other = misc. Implicitly narrows to form_type='8-K'. CANNOT be combined with fiscal_year/fiscal_period — 8-Ks carry no XBRL fiscal-period focus to pin against; use `years` and read the implied period off each row." }, "vantage_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "As-of vantage (YYYY-MM-DD): only list filings filed ON OR BEFORE this date (point-in-time). Omit to list the most recent filings. For vantages older than the `years` window, pass a larger `years`." }, "fiscal_period": { "enum": [ "Q1", "Q2", "Q3", "Q4", "FY" ], "type": "string", "description": "Pick a specific fiscal period. FY = annual (10-K / 20-F / 40-F); Q1/Q2/Q3 = quarterly (10-Q). The 4th quarter is reported in the annual 10-K, so Q4 is treated as FY. Combine with fiscal_year to pin a single filing." }, "include_delisted": { "type": "boolean", "default": false, "description": "Opt in to historical data for a delisted company. Default false returns a structured 'delisted' error (HTTP 410) naming the delisting date. Querying by cik bypasses this gate. Applies to 10-K/10-Q/DEF 14A only." } }, "additionalProperties": false }arguments 70 linesget_metric_lineage auth-required never probed
The DERIVATION of one COMPUTED metric — its human formula + immediate inputs (each value + source), one level at a time. The audit / verify affordance for derived figures (margins, ratios, ROIC, FCF, adj-EBITDA): call it ONLY when the query asks **how a metric is computed**, **which definition** MetricDuck used, or to **verify / audit** the derivation — NOT to get the value itself (use get_metric_history / get_company_overview for that). Drillable (lazy, one level per call): - a `derived` input points to its OWN derivation — call get_metric_lineage(ticker, that_symbol) to go deeper. - a `base` input is an as-filed XBRL fact — open its filing handle, or get_xbrl_facts(ticker, search="<symbol>") to land on the exact fact. Use Cases: - "How is AAPL's net_margin calculated?" -> get_metric_lineage("AAPL", "net_margin") - "Which ROIC definition does this use?" -> get_metric_lineage("AAPL", "roic") - "Audit / verify gross_margin for Q2 FY2025" -> get_metric_lineage("AAPL", "gross_margin", fiscal_year=2025, fiscal_period="Q2") Computed metrics only — a base as-filed figure has no derivation (the tool says so and points to get_xbrl_facts).
{ "type": "object", "required": [ "ticker", "metric" ], "properties": { "metric": { "type": "string", "description": "Metric id of a COMPUTED metric (e.g. 'net_margin', 'roic', 'fcf', 'ev_ebitda')." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). Must be exact." }, "segment": { "type": "string", "description": "Reporting segment id. Omit for the consolidated figure." }, "fiscal_year": { "type": "integer", "description": "Pin the fiscal year (e.g. 2025). Omit for the latest period." }, "period_type": { "enum": [ "Q", "FY", "TTM" ], "type": "string", "default": "Q", "description": "Q = quarterly, FY = fiscal year, TTM = trailing 12 months." }, "fiscal_period": { "enum": [ "Q1", "Q2", "Q3", "Q4", "FY" ], "type": "string", "description": "Pin the fiscal period. Omit for the latest." } }, "additionalProperties": false }arguments 47 linesget_metric_history auth-required never probed
Time series for one metric across fiscal periods. Returns newest-first rows labeled with the company's fiscal_year + fiscal_period — answer a period-specific question ("Q2 FY2025?") from those labels. The period_end calendar date is NOT the fiscal label, especially for non-December FYE companies (AAPL FY ends Sep; CRM FY ends Jan; ORCL FY ends May). Each row with an SEC accession is cited back to the source filing via the MetricDuck viewer (under vantage_date, the vantage-era filing). ⚠ CONSOLIDATED ONLY — there is no segment/geography/product breakdown here, and no parameter adds one: the metrics layer sums those axes away, so per-member values are never stored. For a BY-SEGMENT series use `get_xbrl_facts(ticker, search="<segment name> revenue", period_history=true)` (as-filed dimensional facts) or `get_filing_section(ticker, "table_segment_reporting")` (the schedule, 3 fiscal years per 10-K). Use Cases: - "What was AAPL's Q2 FY2025 gross margin?" -> get_metric_history("AAPL", "gross_margin") - "ROE last 5 years for MSFT" -> get_metric_history("MSFT", "roe", period_type="FY", window=5) - "As of a past date / point-in-time" -> get_metric_history("MSFT", "revenues", vantage_date="2024-04-30") Issuer operating KPIs (subscribers, backlog, NIM, occupancy…) are not served here: read them in the company's release, `get_filing_section(ticker, "earnings_press_release")`. Price-derived multiples here (pe_ratio, ev_ebitda, pb_ratio…) use the PERIOD-END close; for a price on a SPECIFIC date use get_stock_price. **Latest fiscal year during earnings season:** full-year results post in an earnings 8-K weeks before the 10-K that populates this FY series, so inside that gap the series ends a year early and this tool appends a pointer to the 8-K (get_filing_section "earnings_income_statement") — the year is not unavailable.
{ "type": "object", "required": [ "ticker", "metric_id" ], "properties": { "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'AAPL'). Must be exact." }, "window": { "type": "integer", "default": 20, "maximum": 40, "minimum": 1, "description": "Max observations returned, newest first. Default 20, max 40." }, "metric_id": { "type": "string", "description": "Exact metric id (lowercase + underscores). Common XBRL financials: gross_margin, oper_margin, net_margin, ebitda_margin, roe, roa, roic, pe_ratio, ev_ebitda, ev_sales, fcf_yield, pb_ratio, current_ratio, debt_to_equity, interest_coverage, revenues, net_income, ebitda, fcf, net_cf_ops, capex, dividends_per_share, dividends_paid, dividend_yield, dividend_payout_ratio, fcf_payout_ratio, dividend_coverage. The list is non-exhaustive — try a canonical name even if unlisted; a miss returns the served catalog and steers. Banks/insurers often NULL on COGS-based metrics (gross_margin, gross_profit) — use sector alternatives. A CUSTOM multiple (e.g. lease-adjusted EV) = get_stock_price (price leg) + the primitives oper_lease_liabs, ttl_debt, cash_st_invs, ttl_equity, shares_basic." }, "period_type": { "enum": [ "Q", "FY", "TTM" ], "type": "string", "default": "Q", "description": "Q = quarterly, FY = fiscal year, TTM = trailing 12 months." }, "vantage_date": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "As-of vantage (YYYY-MM-DD): restrict the series to periods whose ORIGINAL filing was published on or before this date, and cite the filing that was current then. Omit for the latest. IMPORTANT — this bounds period EXISTENCE and the CITATION; it does NOT reconstruct the value as it stood on that date. Values are the LATEST FILED: if a later filing restated or recast a period (including a later 10-K's comparative columns), that later value is served under the vantage-era citation. A LOOK-AHEAD warning appears only when the period's own filing was later amended; other recasts are NOT flagged. For the value as known at your vantage, call get_xbrl_facts with the accession_number of the latest filing on or before it that reports the period (list_filings takes vantage_date); period_history=true gives each period's value as originally filed." } }, "additionalProperties": false }arguments 40 linessearch_sec_filings auth-required never probed
Search the full text of SEC filings since 2001 to find companies related to any concept — a product, technology, regulation, event, or company. Returns filing-level results with aggregated statistics (company count, form type breakdown, industry distribution). For 10-K/10-Q filings processed by MetricDuck, also shows WHICH SECTIONS contain the term with drill-in pointers. **Searchable form types** — any SEC form (default window: last year); omit `form_type` for all: - Periodic reports: 10-K, 10-Q (section-level drill-down available), 20-F, 40-F, 6-K (foreign private issuers) - Events + proxies: 8-K, DEF 14A / DEFM14A / PRE 14A - Registration + offerings: S-1, F-1, S-3, S-4, 424B series - Ownership + other: SCHEDULE 13D/G (was SC 13D/G), SD (conflict minerals), N-CSR / N-CSRS (fund reports) **Section-level enrichment** (10-K/10-Q only): results name which sections contain the term, with chunk pointers for drill-in via get_filing_section. Other forms return filing metadata + accession numbers only. Use cases: - "Who supplies Apple?" → query="\"Apple Inc.\"", form_type="10-K,10-Q,8-K" → Company Exposure Map of the filers mentioning Apple. Constrain forms — mutual-fund NPORT-P filings otherwise crowd the results (see `date_from`). - "What did WM say at its investor day?" → query="\"investor day\"", company="WM" → that filer only - "Recent data breaches?" → query="cybersecurity incident", form_type="8-K" - "Tariff-exposed companies?" → query="tariff", form_type="10-K" → risk factor disclosures - "Activist campaigns?" → query="board representation", form_type="DEF 14A,SCHEDULE 13D" Other tools: one known company's filings → `get_filing_index` / `list_filings`; numeric filters → `screen_companies`; earnings-call trends → `compare_earnings_calls`. Key limitation: keyword matching only, not semantic. "No material weakness" matches "material weakness found." Verify hits with `get_filing_section` for context.
{ "type": "object", "properties": { "limit": { "type": "integer", "default": 10, "maximum": 100, "minimum": 1, "description": "Max results (default 10, max 100). Results deduplicated by filing, sorted most recent first. Section-level enrichment applies to the first 5 results." }, "query": { "type": "string", "description": "Search terms. All terms required by default (implicit AND). Syntax: exact phrase \"revenue recognition\", OR: \"goodwill impairment\" OR \"asset writedown\", NOT: restructuring NOT \"restructuring charges\", NEAR: goodwill NEAR(5) impairment (within N words; two single words only: SEC cannot run NEAR on a phrase, wildcard or hyphenated term, so such a clause is searched as AND), wildcard: restructur* (trailing only, not in phrases). Use formal terms as written in SEC filings, not abbreviations. Required." }, "company": { "type": "string", "description": "Restrict to one company. Accepts a ticker in capitals (e.g. 'WSC'; resolved to its CIK, so exact), a CIK (exact match — get from search_companies; shorter numeric CIKs are auto-zero-padded to 10 digits), or a company name (partial match — may include unrelated companies)." }, "date_to": { "type": "string", "description": "End date YYYY-MM-DD. Default: today." }, "rank_by": { "enum": [ "date", "relevance" ], "type": "string", "default": "date", "description": "Sort order for the returned filing list. 'date' (default) = most recent filings first — best for time-sensitive queries (breaches, guidance changes, recent events). 'relevance' = EFTS native relevance score — best for thematic discovery where the most concentrated mentions matter more than recency (e.g., 'liquefied natural gas', 'H100 supply chain'). The Company Exposure Map is always frequency-ranked from EFTS aggregation regardless of rank_by." }, "sections": { "type": "boolean", "default": true, "description": "Include section-level matches showing WHERE in each filing the term appears. Provides exact section + chunk pointers for immediate drill-in with get_filing_section. Set false for faster filing-level-only results." }, "date_from": { "type": "string", "description": "Start date YYYY-MM-DD. Default: 1 year ago. For a HISTORICAL event (M&A announcement, lawsuit, restructuring, leadership change) set it before the event, with form_type='8-K' and rank_by='relevance': the default window and date order bury the anchor 8-K under mutual-fund NPORT-P holdings." }, "form_type": { "type": "string", "description": "SEC form type filter. 10-K (annual report), 10-Q (quarterly), 8-K (material events), DEF 14A (proxy/compensation), S-1 (IPO registration). Comma-separated for multiple: '10-K,10-Q'. Omit to search all types. 13D/13G are filed as 'SCHEDULE 13D' / 'SCHEDULE 13G' since December 2024 and as 'SC 13D' / 'SC 13G' before; either spelling searches both. A form includes its amendments ('10-K' finds 10-K/A too); name only 'X/A' for amendments alone. Forms 3/4/5 (filed by insiders, naming the company as issuer): company as an upper-case ticker or a 10-digit CIK finds them (both exact); a name is a partial match." }, "ticker_lookup": { "type": "string", "description": "RETIRED — returns a redirect. Scope with `company`; to find who MENTIONS a company, search its formal name with form_type." } }, "additionalProperties": false }arguments 51 linesget_ir_documents auth-required 2h ago
Retrieve IR earnings-PRESENTATION-DECK text — forward guidance, operational KPIs, and segment outlook that are ONLY in the company's investor-relations slide deck and NOT in the SEC 8-K/10-Q release text or XBRL. Reach for this when get_metric_history / get_xbrl_facts have no series for a KPI or guidance figure, or the 8-K earnings release from get_filing_section lacks it (decks are a separate source): production or revenue guidance ranges, segment/division outlook, KPIs shown as slide charts (e.g., berth capacity %, Mboed production guidance, adjusted-EBITDA guidance). Use Cases: - "OXY Q3 2024 production guidance" -> get_ir_documents("OXY", fiscal_year=2024, fiscal_period="Q3", query="production guidance") - "NCLH berth capacity outlook" -> get_ir_documents("NCLH", fiscal_year=2021, fiscal_period="Q3", query="berth") - "KNTK adjusted EBITDA guidance range" -> get_ir_documents("KNTK", fiscal_year=2023, fiscal_period="Q3", query="EBITDA") Each deck returns its title, original IR url, a stable MetricDuck-hosted gcs_uri, and the matching slide text cited by page. Pass a `query` to land on the exact page; omit it for a bounded prefix of the latest deck. Resolve by ticker or cik; narrow with fiscal_year/fiscal_period.
{ "type": "object", "properties": { "cik": { "type": "string", "pattern": "^\\d{1,10}$", "description": "10-digit SEC CIK as an alternative to ticker (e.g., '0000797468')." }, "mode": { "enum": [ "full", "list" ], "type": "string", "description": "Response mode. 'full' (default): slide TEXT for the matched deck(s) — combine with query/period to pull a figure. 'list': a cheap one-row-per-item INVENTORY of the company's served IR documents (doc_kind, period, date, links; NO slide text) — use to answer \"what IR materials does X have?\". In list mode `query` is ignored (it filters slide text)." }, "query": { "type": "string", "description": "Keyword filter over slide text — returns ONLY the deck pages whose text matches every word (whole-word AND, case-insensitive). Use this to pull a specific figure (e.g., query=\"production guidance\", \"berth capacity\", \"adjusted EBITDA guidance\") so the response cites the exact page instead of dumping the deck." }, "ticker": { "type": "string", "description": "Company ticker symbol (e.g., 'OXY'). Required unless cik is provided." }, "fiscal_year": { "type": "integer", "maximum": 2100, "minimum": 2000, "description": "Fiscal year of the deck (e.g., 2024). Narrows to one period when combined with fiscal_period." }, "fiscal_period": { "type": "string", "description": "Fiscal period: 'Q3' (with fiscal_year) or combined '2024Q3'. Omit to return the latest deck(s)." } }, "additionalProperties": false }arguments 37 linesbrowse_company auth-required never probed
Use this when the user asks what MetricDuck has on a company or wants to start researching one: "what filings do you have for X?", "what's notable about X?", "where do I start on X?". One call returns the company's identity (ticker, name, CIK), its filings with extracted text by form type (10-K, 10-Q, 8-K, proxy), which filing signals fire (M&A, partnerships, guidance changes, accounting flags), the indexed date range, and suggested next calls. Accepts a ticker, a company name or a CIK. The filing counts cover filings whose section text MetricDuck extracted, not the company's full SEC history — `list_filings` lists every filing, including ones without extracted text. To pick between candidate companies for a name, use `search_companies` (it also returns the SEC EDGAR link, filer type, fiscal year-end and former names). To screen many companies: `screen_companies` (metrics) or `screen_filing_signals` (signals); for a theme across filings: `search_sec_filings`. Typical next calls: `get_filing_index(ticker)` for the latest filing's signal map; `get_xbrl_facts(ticker, search="...")` for segment / dimensional figures.
{ "type": "object", "required": [ "query" ], "properties": { "query": { "type": "string", "minLength": 1, "description": "Company name, ticker, or 10-digit zero-padded CIK. Accepts free-text fuzzy match like 'US Steel' or 'AAPL'. For delisted companies, prefer the CIK." }, "include_delisted": { "type": "boolean", "default": false, "description": "Include delisted companies among FUZZY candidates (ticker-prefix / name matches). Default false. A delisted company always resolves by its exact ticker, former ticker, or CIK regardless of this flag — prefer the CIK for delisted companies." } }, "additionalProperties": false }arguments 19 lines
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.
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, thenPOST /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-endpointwith this listing's id7ac23b442fd5d5ee.
Every step, filled in for this listing: https://brick.blue/api/v1/agents/7ac23b442fd5d5ee/claim.
Over MCP: the claim_endpoint tool.
[](https://brick.blue/agent/7ac23b442fd5d5ee?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.
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.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
- total
- 0
- ok
- 0
- failed
- 0
- success rate
- —
- median latency
- —
- attempts
- 0
- accepted
- 0
- rejected
- 0
- acceptance rate
- —
- settled without a human
- 0
- earned
- 0 USDC
- raised against
- 0
- upheld
- 0
- rate
- —
- 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.
Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.