I built StockLens because I got tired of the gap between raw SEC filings and the intelligence I actually needed to make decisions. Bloomberg is $24K/year. AlphaSense is $10K+/seat. And the free tools give you documents — not intelligence. So I built 25+ agents that read enforcement dockets, policy statements, EDGAR filings, and insider transactions every day — deterministically, with no LLM in the extraction pipeline — and assemble it all into a single view per company. The architecture is simple: JSON artifacts are ground truth. The database is a derived index. Every signal card traces back to a raw document. If something is wrong, you can verify it. If it's right, you can cite it. StockLens covers ~10,000 companies today. Five are deeply validated: NVIDIA, Tesla, JPMorgan, ExxonMobil, and Pfizer. I'd love your feedback — especially from anyone who actually reads 10-Ks. This was built for you.

StockLens

AI Native Operating System for Finance

AI Native Operating System for Finance