About this site
A static, publicly browsable mirror of the Fredgar AI warehouse — 16 companies of SEC financial data, no login required.
What this is
Fredgar AI (FRED + EDGAR, with AI) collects public company data from SEC EDGAR — filings, XBRL facts, derived metrics, and leadership signals — into an open warehouse with an API and an interactive application. This site is the static mirror of that warehouse: every page is plain HTML generated at build time, so anyone can read, copy, and download the data without an account or a running backend.
Two ways to use Fredgar AI
| This static mirror | Interactive app | |
|---|---|---|
| Access | Public, read-only, no account | User accounts (token/session); reads are public, writes and syncs require staff access |
| Freshness | Rebuilt on a schedule from SEC EDGAR (see the footer date) | Live — syncs on demand from SEC EDGAR and FRED |
| Capabilities | Browse, search (client-side), copy tables, download CSV/JSON | Cohort comparison, peer groups, filing full-text search, macro series, AI-assisted analysis |
Where the data comes from
- Filings & XBRL facts — SEC EDGAR public APIs
(
data.sec.gov), cached in the warehouse and re-served here. Each statement line links to the source filing on sec.gov. - Derived metrics — computed from the XBRL facts with a transparent, reviewable formula set (no black boxes; formulas are evaluated with a safe expression walker).
- Macro series (when published) — macroeconomic time series from FRED (Federal Reserve Bank of St. Louis), organized into curated theme bundles with per-series notes on industry relevance. Each series links back to its FRED page. This product uses the FRED® API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.
- Leadership — officers, directors, and ≥10% owners extracted from public SEC Forms 3/4/5. Tenure ranges are filing-date proxies, not official appointment records.
- Stakeholder orientation — a heuristic index of capital-allocation tilt (reinvestment vs. payout), computed only from disclosed figures, with every input and caveat shown on the page. It is not a rating of any person.
- AI leadership analysis (where present) — narrative extracted by an LLM strictly from the company's own SEC filing excerpts, with sources cited. Invented quotes and personal judgments are prohibited by design.
How this site is built
A scheduled pipeline syncs a curated set of companies from SEC EDGAR (respecting SEC
fair-access rate limits and a declared contact User-Agent), computes metrics, and
renders these pages with the same services that power the API — so the mirror shows exactly what
the application does. The site is republished automatically; the generation date is in the
footer of every page.
The pipeline, data model, and methodology are open source: https://github.com/bamr87/fredgar-ai.
Disclaimer
Informational use only. Figures are machine-extracted from public filings and may contain extraction or tagging errors — always verify material numbers against the original SEC filings linked on each page. Nothing here is investment advice.