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FilingFirehose

Unexplored

SEC EDGAR filings parsed: 8-K body-text classification, 13D activist tagging, S-3 ATM detection.

jaablon1 stars0 forksDeveloper Tools
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Install

mcp_config.json

{
  "mcpServers": {
    "com-filingfirehose-firehose": {
      "url": "https://filingfirehose.com/mcp",
      "type": "streamable-http"
    }
  }
}

Documentation

filing-firehose

Python client for the FilingFirehose SEC EDGAR API — body-text-parsed 8-Ks (with buried-event detection), activist-tagged Schedule 13D/G filings, and ATM offerings extracted from S-3 / 424B5 prospectus supplements.

Install

pip install filing-firehose

Quick start

The free public tier returns the last 72 hours of filings — no API key required:

from filing_firehose import FilingFirehose

ff = FilingFirehose()

# Recent 8-Ks where the body language flags items the filer didn't report
buried = ff.recent_8k(suspected_buried_only=True, limit=10)
for f in buried:
    print(f"{f.company_name}: filer reported {f.filer_reported_items}, "
          f"body suggests {f.suspected_buried_events}")

# Recent activist 13D / 13G filings
for f in ff.recent_13d(activist="Saba"):
    print(f"{f.company_name} — {f.percent_of_class}% by {f.activist_filers}")

# Recent ATM offerings with shelf size > $50M
for f in ff.recent_atm(min_shelf_million_usd=50):
    print(f"{f.company_name}: ${f.shelf_size_million_usd:.1f}M via {f.sales_agents}")

For the full historical archive, get an API key at filingfirehose.com:

ff = FilingFirehose(api_key="ff_live_...")

# Search the entire archive for cyber events
for f in ff.search_8k(items="1.05", since="2026-01-01"):
    print(f.company_name, f.filed_at)

Async

import asyncio
from filing_firehose import AsyncFilingFirehose

async def main():
    async with AsyncFilingFirehose() as ff:
        filings = await ff.recent_8k(items="1.05,5.02")
        for f in filings:
            print(f.company_name, f.detected_items)

asyncio.run(main())

Why this client

The wedge: most SEC filings APIs trust the filer-reported item codes on 8-K filings. We body-text-classify every filing and surface a suspected_buried_events field flagging when the body language doesn't match the filer's claimed item codes. From a 21-day analysis of 4,251 8-Ks, 7.3% of Item 8.01 filings contain language suggesting a more specific item should have been used — including buried cyber incidents (1.05), officer departures (5.02), and material agreements (1.01).

License

MIT.

Sourced from the repository README.

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