Pre-analyzed financial news via REST API and MCP. Per-ticker impact, category, and a 1–10 relevance score on every story, plus SEC Form 4 insider data. Free tier, no card.
Features
AlphaAI turns the financial news firehose (GDELT + SEC EDGAR + publisher RSS) into machine-readable signal. Every article gets per-ticker impact analysis, a category, and a 1–10 relevance score at ingest; SEC Form 4 insider filings become scored events ~6 min after they hit EDGAR.
Consume it as a REST API or an MCP server, so Claude Desktop, Cursor, or any agent uses it with zero glue code. Free is a real eval tier: 20 req/min and 100 req/day on both surfaces, no card. Paid from $2.99/mo.
Use Cases
- Trading bots: query the REST API for ticker-linked news with a minimum relevance score, so a bot only reacts to stories that matter (for example relevance 7 and above) instead of parsing the raw wire.
- AI agents and copilots: connect Claude Desktop, Cursor, or any MCP client to the AlphaAI MCP server and ask "what is happening with NVDA" - the agent gets pre-analyzed, scored news with per-ticker impact, no web scraping or glue code.
- Insider trading monitoring: SEC Form 4 filings arrive as structured, scored events about 6 minutes after they hit EDGAR - useful for insider-buying dashboards and cluster-buy detection.
- Portfolio alerts: subscribe to per-ticker news alerts delivered by email or signed webhook the moment a story crosses your relevance threshold.
- Fintech products: embed a clean, scored financial news feed into a watchlist or research app without building and maintaining your own news ingestion pipeline.
Comments
I built AlphaAI because every trading bot and agent project I worked on started the same way: crawl news, dedupe it, figure out which tickers it touches, guess how much it matters. That pipeline is expensive to build and boring to maintain, so I turned it into a service. AlphaAI ingests GDELT, SEC EDGAR and publisher RSS, and every story comes out with per-ticker impact analysis, a category and a 1-10 relevance score. You consume it as plain JSON over REST or as an MCP server that Claude Desktop or Cursor can use directly. The free tier (20 requests per minute, 100 per day, no card) is enough to build and test against. Happy to answer questions about the scoring or the SEC filings pipeline.
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Comments
I built AlphaAI because every trading bot and agent project I worked on started the same way: crawl news, dedupe it, figure out which tickers it touches, guess how much it matters. That pipeline is expensive to build and boring to maintain, so I turned it into a service. AlphaAI ingests GDELT, SEC EDGAR and publisher RSS, and every story comes out with per-ticker impact analysis, a category and a 1-10 relevance score. You consume it as plain JSON over REST or as an MCP server that Claude Desktop or Cursor can use directly. The free tier (20 requests per minute, 100 per day, no card) is enough to build and test against. Happy to answer questions about the scoring or the SEC filings pipeline.
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