LLM-ranked signals from podcasts, news, prediction markets, social feeds, and earnings calls. One API. Real-time. Built for machines.
Continuously monitors podcasts, news feeds, X/Twitter, Kalshi, Polymarket, and earnings calls. Every source. Every second.
LLMs semantically score each signal for investment relevance, urgency, and cross-source corroboration. Noise dies. Signal survives.
Structured JSON via API. Your AI agents consume ranked signals in real-time. No dashboards, no PDFs, no humans in the loop.
Real-time probability shifts from Kalshi and Polymarket. The crowd's best guess, quantified and tracked.
Breaking stories, regulatory filings, macro events. Aggregated from hundreds of sources, deduplicated, ranked.
Sentiment spikes, insider chatter, viral takes. Filtered for signal from the firehose of financial Twitter.
Key signals extracted from transcripts in real-time. Guidance changes, tone shifts, forward-looking statements.
Investment podcasts transcribed and analyzed. Expert opinions and market narratives, structured and searchable.
Plug in proprietary data feeds. Primary Logic ranks them alongside public signals for unified intelligence.
Most financial data products are built for humans staring at dashboards. Primary Logic is built for AI agents making decisions at machine speed.
// Get ranked signals for your investment agent const signals = await primaryLogic.getSignals({ topics: ["fed-rate-decision", "tech-earnings"], sources: ["polymarket", "earnings", "news"], minRelevance: 0.85, realtime: true }); // Each signal: ranked, sourced, and ready for your agent // { relevance: 0.94, source: "polymarket", signal: "..." }
Real-time. LLM-ranked. API-first. The intelligence layer your AI agents have been missing.