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Give your AI agents financial facts they can trace to SEC filings. Query statements and metrics through REST or MCP, with reporting periods, source references, and point-in-time controls. Built with GPT-6 Astra. Coverage varies by company and filing.

PH · launched Sep 18, 2026 · 2 upvotes (top 26%) · 0 views

Niche: data enrichment and lookup apis · 83 launches, 5 in the last 7 days ▼ -17% · Explore this niche →

Category and tags

  • Fintech
  • Data infrastructure
  • Developer
  • AI-native
  • Commercial product
  • Fintech
  • Developer Tools
  • Artificial Intelligence
  • OpenAI Day

Visit website ↗ Source listing ↗

Could you build this?

Partial Exposing data via REST and MCP is trivial, but parsing, standardizing, and maintaining point-in-time accuracy across thousands of SEC EDGAR XBRL filings is a complex data engineering task.

What it would actually take: The system requires an automated ingestion pipeline for SEC EDGAR 10-K/10-Q filings, an XBRL parser to handle diverse taxonomies and restatements, and a point-in-time relational schema (e.g., PostgreSQL/TimescaleDB) preserving exact filing references. The core hurdle is data reconciliation across company-specific accounting tag variations and non-standard reporting conventions.

Competitors

Other products that read as similar to this one : 538 launches clear the similarity bar, closest 8 shown.

Attention rank: #188 of 539 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.