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stocks.team
Stock fundamentals for AI agents
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.
An AI agent gives you a financial number. Can it show you where it came from, which period it covers, and whether it was available at the time?
That's the problem stocks.team addresses.
I'm Shai, the maker. I built the entire website and backend with GPT-6 Astra. The result is a financial data API designed to give AI agents structured SEC filing evidence they can inspect and cite.
With stocks.team, you can:
- Retrieve financial facts, statements, and metrics through REST or the local MCP adapter.
- Inspect reporting periods, filing identifiers, and source references.
- Query historical information with point-in-time controls, keeping later filings from silently replacing what was available earlier.
- See missing evidence and quality states, so your agent can explain a gap instead of guessing.
Astra helped build the system. Financial extraction and calculations use deterministic rules, with SEC filings as the source.
Try this in your workflow: "Show Apple's reported revenue, the reporting period, and the SEC filing that supports it."
We're in beta. Coverage varies by company, filing, and metric, and we're still expanding ingestion and evidence availability.
If you're building a research assistant or financial analysis tool, what would you need to verify before trusting its numbers?
About stocks.team on Product Hunt
“Stock fundamentals for AI agents”
stocks.team was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #132 on the daily leaderboard. 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.
On the analytics side, stocks.team competes within Fintech, Developer Tools, Artificial Intelligence and OpenAI Day — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how stocks.team performed against the three products that launched closest to it on the same day.
Who hunted stocks.team?
stocks.team was hunted by Shai Solomon. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of stocks.team including community comment highlights and product details, visit the product overview.
Shai Solomon