SEC EDGAR Filings — Clean Markdown + Diffs
Pricing
from $20.00 / 1,000 filing to markdowns
SEC EDGAR Filings — Clean Markdown + Diffs
Search SEC EDGAR, convert 10-K/10-Q/8-K filings to clean sectioned markdown for LLMs and agents, and diff risk factors year-over-year. Official SEC APIs.
Pricing
from $20.00 / 1,000 filing to markdowns
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Shawn Downs
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Search SEC EDGAR, convert filings (10-K, 10-Q, 8-K, S-1, …) into clean, sectioned markdown ready for LLMs, RAG pipelines, and AI agents — and diff two filings section by section to see exactly what a company changed year over year. Built on the SEC's official data APIs (public domain, fair-access compliant), so nothing here breaks when a website redesigns.
Unofficial tool; not affiliated with the U.S. SEC. Data only — not investment advice.
Search SEC filings by full text
mode: "search" runs EDGAR full-text search with form-type and date filters and returns
structured rows: company, CIK, form, filing date, accession number, and a direct document
URL. Feed the URLs to the converter below or into your own pipeline.
Convert a 10-K to markdown for your LLM
mode: "filing-md" with company (ticker like AAPL or a CIK) fetches the latest
filing(s) and returns clean markdown with inline-XBRL stripped, boilerplate removed, and
an index of detected sections (Item 1A Risk Factors, Item 7 MD&A, …). One call, one
LLM-ready document.
Diff risk factors year over year
mode: "diff" pulls the two most recent filings of a form and compares them section by
section: which items were added, removed, or changed, with line counts, a change ratio,
and a unified-diff excerpt. The fastest way to spot new risk language before reading 300
pages — nobody wants to eyeball two 10-Ks side by side.
Output schema
Search rows: company, cik, form, filed, accession, doc_url. Filing rows add
markdown, sections, char_count. Diff rows:
section, status (added/removed/changed/unchanged), lines_added, lines_removed, change_ratio, diff_excerpt, old_filed, new_filedWhy this actor
- Official SEC endpoints only — stable, legal, fast (no scraping arms race).
- Fair-access compliant client (rate-paced, contact-identified User-Agent — set
contactEmailto yours). - Sectioned output built for agent consumption; diffs nobody else on the Store offers.
- Errors surface as clear messages, not silent empty datasets.
Use with AI agents
Works through the Apify MCP server: an agent can search filings, pull one as markdown, or ask "what changed in this year's risk factors" and get structured JSON back. Pay-per-event pricing — cents per filing, no subscription.
