Yes — it answered the hub's last check (checked 5h ago). It answered 100% of checks over the last 30 days.

Is annalist free to use?

Yes — the hub reached it with no key and no payment.

What tools does annalist have?

15 tools: compare_companies, get_company_overview, get_statement, get_ratios, get_findings, get_events, get_data_quality, get_snapshot_info, ….

Is annalist 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 streamable-http · checked 5h ago

annalist

https://annalist.io

Registry code: 6e4a6e2b840d507b

api record

Annalist serves company fundamentals collected from official filings (company investor-relations sites and SEC EDGAR) as versioned snapshots. Use search_companies to find a company id, and get_company_overview for one answer on a company: its latest figures, measures, key findings and peers. get_statement and get_ratios give the series, get_findings the key findings with their figures and history, screen_companies ranks the coverage by a measure, compare_companies sets 2 to 4 companies side by side on calendar quarters, get_events lists corporate events and get_data_quality the withheld and…

endpoint: https://annalist.io/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
karma: 0 · newcomer

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

Is annalist live?: Yes — it answered the hub's last check (checked 5h ago). It answered 100% of checks over the last 30 days.
Is annalist free to use?: Yes — the hub reached it with no key and no payment.
What tools does annalist have?: 15 tools: compare_companies, get_company_overview, get_statement, get_ratios, get_findings, get_events, get_data_quality, get_snapshot_info, ….
Is annalist 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

100%

90 days 100%· all time 100%

latency

298ms

last good check

priced tools

of 15 tools

_ answered our checks, 90 days 1 checks · signed record

2026-10-30 07:48 unknown → live

_ 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 15 tools

2 open 13 never probed 2 of 15 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.

screen_companies open 5h ago

Filter and rank the companies of the coverage by the latest published value of a measure, for questions such as the most profitable companies of a sector or those with the least debt against EBITDA. Measures are ratio ids with a frequency, as corp.operating_margin@ttm, corp.roic@ttm, corp.revenue_growth@quarterly, corp.net_debt_to_ebitda@ttm, corp.current_ratio@quarterly or bank.cet1_ratio@quarterly; companies that report fiscal years only carry @annual values. Each value names its period and unit. An amount, such as corp.net_debt, is in the currency of each company: it is ranked within its currency, and its bounds need currency unless they are 0. Call without where and sort to list the measures.

mcp-tool

{
  "type": "object",
  "properties": {
    "sort": {
      "type": "string",
      "description": "the measure to rank by, for example corp.operating_margin@ttm"
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "maximum companies (default 20)"
    },
    "order": {
      "enum": [
        "desc",
        "asc"
      ],
      "type": "string",
      "description": "desc (default) for the highest first"
    },
    "where": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "measure"
        ],
        "properties": {
          "max": {
            "type": "number"
          },
          "min": {
            "type": "number"
          },
          "measure": {
            "type": "string"
          }
        },
        "additionalProperties": false
      },
      "maxItems": 8,
      "description": "conditions that every company meets, for example [{\"measure\": \"corp.roic@ttm\", \"min\": 15}]"
    },
    "sector": {
      "type": "string",
      "description": "part of a sector name, for example Technology or Health care"
    },
    "country": {
      "type": "string",
      "description": "ISO 3166 country code, for example US, GB, ID or HK"
    },
    "currency": {
      "type": "string",
      "description": "keep the companies that report in one currency, for example USD"
    },
    "industry": {
      "type": "string",
      "description": "part of an industry name, for example Semiconductors or Banks"
    },
    "template": {
      "enum": [
        "corporate",
        "bank"
      ],
      "type": "string"
    }
  },
  "additionalProperties": false
}

arguments 70 lines

search_companies open 5h ago

Find companies covered by Annalist by name, ticker, SEC CIK or id, optionally filtered by country. Returns each company's id (used by the other tools), identifiers, sources and latest snapshot.

mcp-tool

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "minimum": 1,
      "description": "maximum number of companies (default 20)"
    },
    "query": {
      "type": "string",
      "description": "part of a name, ticker, CIK or id; leave empty to list all"
    },
    "country": {
      "type": "string",
      "description": "ISO 3166 country code, for example US, GB, ID, HK or JP"
    }
  },
  "additionalProperties": false
}

arguments 20 lines

compare_companies unknown 5h ago

2 to 4 companies side by side, aligned on calendar quarters as Annalist Compare places their fiscal periods, so that companies whose fiscal years end in different months stand in the same quarter. Measures are ratio ids (corp.operating_margin, corp.roic, corp.revenue_growth, bank.roe; short names such as roic work) or statement items (revenue, net_income, total_assets, cfo). Ratios use the last 4 quarters where the ratio has them, else the quarter; a company that reports fiscal years only gives fiscal years. Each value gives the company's fiscal period, and each statement value its source document ids. Amounts stay in the currency of each company.

mcp-tool

{
  "type": "object",
  "required": [
    "companies",
    "measures"
  ],
  "properties": {
    "to": {
      "type": "string",
      "description": "last calendar quarter, in the same forms"
    },
    "from": {
      "type": "string",
      "description": "first calendar quarter: CY2025 Q1, a year (2025) or an ISO date"
    },
    "measures": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 6,
      "minItems": 1,
      "description": "1 to 6 ratio ids or statement item keys, for example [\"corp.operating_margin\", \"revenue\"]"
    },
    "quarters": {
      "type": "integer",
      "maximum": 20,
      "minimum": 1,
      "description": "the latest calendar quarters kept (default 8)"
    },
    "companies": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 4,
      "minItems": 2,
      "description": "2 to 4 company ids from search_companies"
    },
    "frequency": {
      "enum": [
        "ttm",
        "quarterly",
        "annual"
      ],
      "type": "string",
      "description": "the form of every ratio, in place of the last 4 quarters where a ratio has them; annual compares fiscal years"
    }
  },
  "additionalProperties": false
}

arguments 51 lines

get_company_overview unknown never probed
One answer on a company, the first call for a question about it: identity, sector, latest snapshot, revenue and net income of the latest quarter (or fiscal year) with their change against a year earlier, the latest value of each measure of the directory (margins, returns, growth, debt, liquidity) with its period and unit, the current key findings with their source document ids, 3 peers, data quality and links to the page and the workbook.

mcp-tool
{ "type": "object", "required": [ "company" ], "properties": { "company": { "type": "string", "description": "company id from search_companies, for example apple or telkom-indonesia" } }, "additionalProperties": false }
arguments 13 lines

get_statement unknown never probed

Figures of one statement for one company from its latest snapshot, filtered by period and item. Every row gives its period with start and end dates, whether each value is reported or derived, and the source document ids of its values; item units are in `items`. Cite the snapshot and the source document id.

mcp-tool

{
  "type": "object",
  "required": [
    "company",
    "statement"
  ],
  "properties": {
    "at": {
      "type": "string",
      "description": "an ISO date: the snapshot that was the latest on that date, in place of the latest snapshot"
    },
    "to": {
      "type": "string",
      "description": "last period, in the same forms"
    },
    "from": {
      "type": "string",
      "description": "first period: a fiscal year (2024), a fiscal quarter (FY2024 Q2) or an ISO date"
    },
    "items": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 100,
      "description": "item keys to keep, for example [\"revenue\", \"net_income\"]; leave empty for all"
    },
    "limit": {
      "type": "integer",
      "maximum": 60,
      "minimum": 1,
      "description": "maximum rows, latest first kept (default 40, at most 60)"
    },
    "compact": {
      "type": "boolean",
      "description": "true for the rows with their units only, without the conventions, item definitions and citation format"
    },
    "company": {
      "type": "string",
      "description": "company id from search_companies, for example apple or mizuho"
    },
    "frequency": {
      "enum": [
        "annual",
        "quarterly"
      ],
      "type": "string",
      "description": "for income_statement and cash_flow (default annual); other statements have one frequency"
    },
    "statement": {
      "enum": [
        "income_statement",
        "cash_flow",
        "balance_sheet",
        "capital",
        "npl",
        "shares",
        "annual_highlights"
      ],
      "type": "string",
      "description": "income_statement, balance_sheet and cash_flow; Mizuho also has capital, npl, shares and annual_highlights"
    }
  },
  "additionalProperties": false
}

arguments 65 lines

get_ratios unknown never probed

Ratios computed from a company's latest snapshot by formulas with stable ids (bank.roe, corp.roic). Every value gives its unit, period and the snapshot figures it was computed from, each with its value and source document ids. Banks use the bank template (quarterly values annualised); other companies use the corporate template (annual, quarterly and trailing four quarters, ttm), which includes credit metrics, liquidity, earnings quality and forensic scores; scores, credit reconciliations and the liquidity cover also give their parts, named with their coefficients in the catalogue. A value computed with an estimated input, such as the lease cost of the latest fiscal year for quarters that do not report it, names it in estimates; a ratio that a rule leaves out for the company gives the reason in excluded. Call without ratios to list the catalogue of one frequency.

mcp-tool

{
  "type": "object",
  "required": [
    "company"
  ],
  "properties": {
    "at": {
      "type": "string",
      "description": "an ISO date: answers when the snapshot that was the latest on that date is the latest one, since ratios are published beside the latest snapshot only"
    },
    "to": {
      "type": "string",
      "description": "last period, in the same forms"
    },
    "from": {
      "type": "string",
      "description": "first period: a fiscal year (2024), a fiscal quarter (FY2024 Q2) or an ISO date"
    },
    "limit": {
      "type": "integer",
      "maximum": 400,
      "minimum": 1,
      "description": "maximum values, those of the latest periods kept (default 120)"
    },
    "ratios": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 100,
      "description": "ratio ids or short names, for example [\"roe\", \"corp.operating_margin\"]; leave empty for all"
    },
    "compact": {
      "type": "boolean",
      "description": "true for the values with their units only, without the conventions, the catalogue entries, the inputs and the citation format"
    },
    "company": {
      "type": "string",
      "description": "company id from search_companies, for example apple or mizuho"
    },
    "category": {
      "type": "string",
      "description": "keep one category, for example Profitability or Credit metrics"
    },
    "frequency": {
      "enum": [
        "annual",
        "quarterly",
        "ttm"
      ],
      "type": "string",
      "description": "default annual"
    }
  },
  "additionalProperties": false
}

arguments 56 lines

get_findings unknown never probed

The key findings of a company, written by fixed rules from its figures: each a sentence ready to quote with its rule, claim, state (New, Confirmed, Strengthened, Weakened), the period, the measure and the figures it states with their source document ids. Modules: overview (growth, margins, returns, net debt), credit (debt against the S&P benchmark bands), liquidity, quality (cash backing of earnings) and scores (Altman, Beneish, Piotroski). Pass history for the record of each finding across snapshots, and retired for findings that no longer apply.

mcp-tool

{
  "type": "object",
  "required": [
    "company"
  ],
  "properties": {
    "module": {
      "enum": [
        "overview",
        "credit",
        "liquidity",
        "quality",
        "scores"
      ],
      "type": "string",
      "description": "keep the findings of one module"
    },
    "company": {
      "type": "string",
      "description": "company id from search_companies, for example apple or mizuho"
    },
    "history": {
      "type": "boolean",
      "description": "true to add the records of each finding: state, change type, period and snapshot"
    },
    "retired": {
      "type": "boolean",
      "description": "true to add the findings that no longer apply"
    }
  },
  "additionalProperties": false
}

arguments 32 lines

get_events unknown never probed

Corporate events of a company found by fixed rules in its filings: acquisitions, disposals, spin-offs, discontinued operations, reorganisations, stock splits, restatements, name changes and changes of fiscal year, each with its date, fiscal period, a sentence, the counterparty and amount where the filing names them, and its source document ids. Events are recorded for companies that file with the SEC.

mcp-tool

{
  "type": "object",
  "required": [
    "company"
  ],
  "properties": {
    "at": {
      "type": "string",
      "description": "an ISO date: the snapshot that was the latest on that date, in place of the latest snapshot"
    },
    "to": {
      "type": "string",
      "description": "last date, in the same forms"
    },
    "from": {
      "type": "string",
      "description": "first date: a year (2024) or an ISO date"
    },
    "types": {
      "type": "array",
      "items": {
        "enum": [
          "spin_off",
          "acquisition",
          "disposal",
          "acquisition_or_disposal",
          "reorganisation",
          "discontinued_operations",
          "cash_acquisitions",
          "cash_disposals",
          "stock_split",
          "reverse_split",
          "restatement",
          "non_reliance",
          "name_change",
          "fiscal_year_change"
        ],
        "type": "string"
      },
      "maxItems": 14,
      "description": "keep these event types"
    },
    "company": {
      "type": "string",
      "description": "company id from search_companies, for example apple or mizuho"
    }
  },
  "additionalProperties": false
}

arguments 49 lines

get_data_quality unknown never probed

How far the figures of a company are proven: the values published, confirmed by a check, confirmed by a second document, derived from reported figures and withheld, with the meaning of each measure; every withheld value with its reason and documents; and every restated figure with the first, latest and published value, each with its document and filing date.

mcp-tool

{
  "type": "object",
  "required": [
    "company"
  ],
  "properties": {
    "at": {
      "type": "string",
      "description": "an ISO date: the snapshot that was the latest on that date, in place of the latest snapshot"
    },
    "limit": {
      "type": "integer",
      "maximum": 200,
      "minimum": 1,
      "description": "maximum withheld values and restated figures each (default 50)"
    },
    "company": {
      "type": "string",
      "description": "company id from search_companies, for example apple or mizuho"
    }
  },
  "additionalProperties": false
}

arguments 23 lines

get_snapshot_info unknown never probed

The latest snapshot of a company: as-of period, release date and time of publication, coverage, conventions (units, signs, fiscal calendar), validation summary, available statements, files with SHA-256 and the citation format. With at, the snapshot that was the latest on that date (point in time).

mcp-tool

{
  "type": "object",
  "required": [
    "company"
  ],
  "properties": {
    "at": {
      "type": "string",
      "description": "an ISO date: the snapshot that was the latest on that date, in place of the latest snapshot"
    },
    "company": {
      "type": "string",
      "description": "company id from search_companies, for example apple or mizuho"
    }
  },
  "additionalProperties": false
}

arguments 17 lines

list_snapshots unknown never probed
Every snapshot that the site has published for a company, oldest first, with its as-of period, dataset hash and time of publication: the point-in-time record of the coverage. Pass a date of it as at to get_statement, get_snapshot_info, get_sources, get_events or get_data_quality for the figures as they stood then.

mcp-tool
{ "type": "object", "required": [ "company" ], "properties": { "company": { "type": "string", "description": "company id from search_companies, for example apple or mizuho" } }, "additionalProperties": false }
arguments 13 lines

get_sources unknown never probed

Source documents of a company's latest snapshot: kind, period, release or filing date (indexed: the date an index added a report that states no date of publication), URL of the official document or of the search page of its store, and SHA-256 of the file used. Pass the document ids found in a statement's sources to resolve them.

mcp-tool

{
  "type": "object",
  "required": [
    "company"
  ],
  "properties": {
    "at": {
      "type": "string",
      "description": "an ISO date: the snapshot that was the latest on that date, in place of the latest snapshot"
    },
    "ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 100,
      "description": "document ids, for example [\"10-K:0000320193-25-000079\"]; leave empty for all"
    },
    "company": {
      "type": "string",
      "description": "company id from search_companies, for example apple or mizuho"
    }
  },
  "additionalProperties": false
}

arguments 25 lines

run_buyout unknown never probed
Run the buyout model 1.0 of Annalist Deal Lab on a company's published figures, at its starting values or with the caller's assumptions under the keys of the address of the page (entry, exit_mult, years, debt, growth, margin, tax, base and the others that the starting values list). Returns the returns, sources and uses, the debt schedule, the covenants and the checks of the model, optionally the 3 solvers, every input with its source document ids, and the address of the same deal on the site. Shares and rates are fractions (0.2 for 20%) and multiples are times EBITDA. The result is arithmetic on published figures and the caller's assumptions: it values no company, recommends no transaction and forecasts nothing.

mcp-tool
{ "type": "object", "required": [ "company" ], "properties": { "company": { "type": "string", "description": "company id from search_companies, for example apple" }, "solvers": { "type": "boolean", "description": "also return the highest entry multiple for the target return, the growth it needs and the debt capacity" }, "assumptions": { "type": "object", "description": "assumptions to change, for example {\"entry\": 8, \"debt\": 4}; leave out for the starting values", "additionalProperties": { "type": "number" } } }, "additionalProperties": false }
arguments 24 lines
search unknown never probed
Search the documents of Annalist for a question in words, as ChatGPT connectors and deep research do: the overview, key findings, statements and ratios of the companies that the question names, or the overviews of the companies of an industry or sector it names. Returns ids for fetch, titles and the address of each page. For a company id to pass to the other tools, use search_companies.

mcp-tool
{ "type": "object", "required": [ "query" ], "properties": { "query": { "type": "string", "description": "the question or keywords, for example Apple revenue growth or semiconductor margins" } }, "additionalProperties": false }
arguments 13 lines
fetch unknown never probed
The full text of one document that search returned (an overview, key findings, a statement or the ratios of one frequency of a company), as JSON with its figures, units, periods and source document ids, with the address of its page for the citation.

mcp-tool
{ "type": "object", "required": [ "id" ], "properties": { "id": { "type": "string", "description": "a document id from search, for example company:apple or statement:apple:pl_annual" } }, "additionalProperties": false }
arguments 13 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 6e4a6e2b840d507b.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/6e4a6e2b840d507b/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

[![measured by brick.blue](https://brick.blue/api/v1/agents/6e4a6e2b840d507b/badge.svg)](https://brick.blue/agent/6e4a6e2b840d507b?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.