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Edgrapi — SEC EDGAR Financials

Clean SEC EDGAR fundamentals in one call — normalized statements, computed ratios, company profiles and recent filings for any US-listed ticker.

by paperandbeyond23-gif ↗Equity & Fund Market DataCommunity

LABSCO SUMMARY

Someone else parsed XBRL so you do not have to.

The pitch is narrow and checkable: EDGAR is free but its company-facts payloads hide trailing-twelve-month windows inside quarterlies and drift across tags, and this returns periodized statements you can put straight into a model. Independence is stated plainly — Edgrapi is not affiliated with the SEC, and all the underlying data is public EDGAR.

What it is

Agent skills over the Edgrapi REST API, with a hosted MCP endpoint alongside them. EDGAR's XBRL company-facts payloads are the raw material; what arrives is normalized JSON keyed by fiscal period, so the agent gets periodized numbers instead of tag drift and overlapping windows.

What you get

  • Income statement, balance sheet and cash flow, periodized and in USD — get_fundamentals, taking a ticker, period and limit
  • Computed ratios — margins, ROE and ROA, leverage and liquidity — get_ratios
  • The company record: CIK, legal name, SIC industry, fiscal-year end, exchanges and website — get_company
  • Recent filings with filing and report dates and document links, filterable by form — get_filings
  • Three install shapes: the bundled edgrapi-full skill, or the narrower edgrapi-fundamentals and edgrapi-filings when you want a smaller tool surface
  • A remote MCP endpoint at https://api.edgrapi.com/mcp over streamable HTTP, declared in the repo's server.json

Requirements

An Edgrapi key in EDGRAPI_KEY, in the form edgr_..., sent as the X-API-Key header — the base URL is hardcoded, so the key reaches no other host. A free key gives 100 one-time credits with no card, and 1 credit is 1 request. Skills install with npx skills add paperandbeyond23-gif/edgrapi-skills --all, or a single one with --skill edgrapi-full; a ClawHub install is documented too. The skills are pure Python standard library with no dependencies, under MIT No Attribution.

Setup effort

One command plus a key — npx skills add paperandbeyond23-gif/edgrapi-skills --all, then supply credentials