









AlphaAI turns the financial news firehose into machine-readable signal. It collects from GDELT, publisher RSS and SEC EDGAR, then scores and tags every article at ingest: per-ticker impact analysis, a category, and a relevance score from 1 to 10. Your client filters on those fields instead of running its own NLP. SEC filings arrive as structured events, not documents. A Form 4 insider filing becomes a scored event with the transaction values already parsed, about 6 minutes after it hits EDGAR. 8-K corporate events and 6-K earnings releases from foreign issuers come through the same pipe. Two surfaces, same data: a REST API with a public OpenAPI 3.1 spec, and an MCP server with OAuth 2.1 that Claude Desktop, Cursor or your own agent connects to without glue code. Stories can also reach you as email alerts or, on Pro, HMAC-signed webhooks. The free tier is built for real evaluation rather than a teaser. You get 20 requests a minute and 100 a day on both surfaces, and it doesn't ask for a card.
1. Register at alphai.io and create an API key in your account. No card is needed. 2. Call the REST API with the key as a bearer token, for example GET /api/news/?symbol=NVDA&min_relevance=7. 3. Or point your agent at the MCP server on mcp.alphai.io. Claude Desktop, Cursor and anything else that speaks MCP will pick up the tools after the OAuth handshake. 4. Filter on relevance_score, category and tickers so your bot only sees what its strategy cares about. 5. If you want to be told rather than to poll, subscribe a ticker to alerts and take them by email or webhook.
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Free
$0
20 requests per minute and 100 per day on both REST and MCP, 30 day archive, no card required
Basic
$2.99/mo
60 requests per minute and 10,000 per day, 90 day archive
Pro
$9.99/mo
150 requests per minute and 100,000 per day, 180 day archive, page size up to 50, signed webhooks

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