FilingFirehose
SEC EDGAR filings API that catches buried disclosures
What it does
FilingFirehose parses the body text of every 8-K, 13D, and S-3 filing in real time. We flag misclassified material events — 7.3% of 8-Ks have buried events the filer didn't report. REST + MCP + ChatGPT GPT.
Does the same job
all alternatives →- IBI built an AI tool to analyze SEC filings the minute they're released2024 · docdelta.ca · ▲62
Hello everyone, I built this tool on Next/Node to automatically analyze new filings from the SEC and probe the Edgar API for new filings 24/7. We use AI to analyze the filings the second they are released. Free accounts to look at real filings (automatically updated) are available to any who sign up. If you have any questions feel free to ask.
- WFWARN Firehose – Every US layoff notice in one searchable databaseFeb 2026 · warnfirehose.com · ▲134
Hi HN, I built WARN Firehose because I was frustrated trying to track layoff data across the US. The WARN Act requires companies with 100+ employees to file public notices 60 days before mass layoffs — but the data is scattered across 50 state websites with different formats, broken links, and no API. WARN Firehose scrapes every state workforce agency daily and normalizes the data into a single database going back to 1988. It now has 131,000+ notices covering 14 million workers. *What you can do:* - Browse interactive charts and data tables (no account needed):…
- DFDatabase for analyzing US companies, visualize using Apache SuperSet2023 · tesseractanalytics.ai · ▲113
My main motivation was that I wanted to be able to drill down and filter across all the available stocks, look at the data for myself, and narrow down on the stocks I am interested based on my own sets of criteria, and make data-driven analysis for my personal investment strategies. I used PostgreSQL as the backend database for ELT data pipelines, and used Citus Data cstore_fdw for columnar compression for the final dataset. All financial data is coming from SEC Edgar, https://www.sec.gov/developer. I used Python for downloading most of the data. I also run the data load…
- SBStasher – Burn-after-read secrets from the CLI, no server, no trust2025 · github.com · ▲72
Stasher is a tiny CLI tool that lets you share encrypted secrets that burn after reading — no accounts, no logins, no servers to trust. I built it because I just wanted to share a password. Not spin up infra. Not register for some "secure" web app. Not trust Slack threads. Just send a secret. Secrets are encrypted client-side with AES-256-GCM. You get a `uuid:key` token to share. Once someone reads it, it's gone. If they don't read it in 10 minutes, it expires and deleted. Everything is verifiable. Every release is signed, SLSA-attested, SBOM-included, and logged in the Rekor transparency…
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