Stock news API with per-ticker relevance scores for trading bots
AlphaAI is a REST API serving relevance-scored, ticker-linked financial news for trading bots, AI agents and dashboards. It collects from GDELT, publisher RSS and SEC EDGAR, scoring and tagging each article at ingestion: per-ticker impact analysis, content category, and a 1-10 relevance score. SEC filings arrive as structured events rather than raw documents — Form 4 insider trading filings become scored events roughly 6 minutes after EDGAR upload. Clients filter on these fields directly instead of running their own NLP. Free tier, no credit card.
The ingestion-time scoring model is the differentiator: most news APIs dump raw articles and leave the analysis to you; AlphaAI pre-computes the fields that trading systems actually filter on.
Who it's for: quant developers building news-driven trading signals, fintech teams adding market-sentiment feeds to dashboards, and AI agents that need financial context. The test: compare its relevance scores against your own judgment on 20 articles for one ticker — if the scoring aligns with what a human analyst would flag, the API is saving you real NLP work.
What it is
Stock news API with per-ticker relevance scores for trading bots
Pricing
Freemium
Primary category
Developer Tools
Source code
Closed source / hosted
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