Structured context store for AI agents - MCP server with SQLite backend
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.
Pay-per-call market intelligence for AI agents, based on Korra (korra.finance). Live analyst answers, sentiment-vs-price divergence verdicts (crypto, US stocks, macro), falsifiable predictions, event and narrative probes, and a countable track record over the x402 payment protocol — USDC on Base, w…