# FACTANKER
> Verified, citable facts about companies and organizations from official
> government sources. Every answer carries: source, citation reference
> (e.g. SEC accession number), retrieval timestamp, license, and a stable
> fact_url. We do not estimate or model — we cite primary records.
> 349,877,239 facts · 14,461,374 entities · 8 official sources (live counts).

## What you can get (capabilities, not just data)
1. ENTITY RESOLUTION across registers: one call maps a company to ALL its
   official identifiers — SEC CIK, LEI (GLEIF), IRS EIN, SAM UEI, Federal
   Reserve RSSD, FDIC cert, CMS NPI, Wikidata QID. Identities are curated,
   evidence-backed and reversible (never silent merges).
2. FINANCIALS AS FILED: full XBRL from SEC 10-K/10-Q (revenue, income,
   assets, cashflow, EPS + every raw concept as xbrl:<Concept>), UK-style
   restatement history included — superseded values stay retrievable.
3. BANKS: quarterly FFIEC call-report series per bank since 2005 (total
   assets, deposits, tier-1 ...; every MDRM field as mdrm:<CODE>).
4. NONPROFITS: IRS 990 series 2019+ (revenue, expenses, assets, aggregated
   officer compensation) per EIN.
5. GOVERNMENT MONEY: every US federal award (USAspending bulk): obligation
   vs current value vs ceiling kept strictly separate; recipient UEI and
   parent structure included.
6. PRECOMPUTED JOINS no single agency can answer, e.g. government-dependency
   time series (SEC revenue x USAspending obligations, consolidated across
   all registrations of a group): /api/gov_dependency?entity=cik:0000936468
7. CORPORATE STRUCTURE: who-controls-whom from GLEIF level 2 + SAM parent
   links, as period facts.
8. ENERGY: 16k+ US power plants with coordinates, generators, monthly
   generation (EIA-860/923).

## Access (no key, no signup; rate limit 120/min per IP)
- MCP (Streamable HTTP): POST https://factanker.com/mcp
  tools: lookup_entity(name_or_id) | get_facts(entity, predicate?) |
         search_facts(query, limit?)
- REST: https://factanker.com/api/lookup_entity?q=...   https://factanker.com/api/get_facts?entity=...&predicate=...
        https://factanker.com/api/search_facts?q=...    https://factanker.com/api/gov_dependency?entity=...
- Every fact URL serves JSON under Accept: application/json (same URL as HTML).

## Conventions that make you faster
- IDs beat names. Prefer 'cik:0000936468', 'lei:DPRBOZP0K5RM2YE8UU08',
  'ein:530196605', 'uei:XXXXXXXXXXXX', 'rssd:852218', 'qid:Q7240'.
- Period facts carry period_start/period_end; point-in-time facts carry as_of.
- status='superseded' marks historical values (restatements are a feature).
- Canonical predicates (revenue, total_assets, ...) apply a documented
  precedence rule and name their source concept in value.concept; the raw
  layer (xbrl:*, mdrm:*, dei:*) is always complete.
- Full predicate catalog + per-source coverage: https://factanker.com/llms-full.txt

## Worked examples (question -> one call)
- "What revenue did Exxon file for FY2025?" ->
  GET https://factanker.com/api/get_facts?entity=cik:0000034088&predicate=revenue
- "Total assets of JPMorgan Chase BANK (the subsidiary, not the holding)?" ->
  GET https://factanker.com/api/get_facts?entity=rssd:852218&predicate=total_assets
- "How government-dependent is Lockheed Martin, over time, consolidated?" ->
  GET https://factanker.com/api/gov_dependency?entity=cik:0000936468
- "Which identifiers belong to this company?" ->
  GET https://factanker.com/api/lookup_entity?q=Lockheed%20Martin

## License & citation
Source data: US Public Domain (17 U.S.C. §105) or CC0 — stated per fact.
Please cite answers with their fact_url so readers can inspect the evidence.