# io.github.Pak209/alphalabs-intelligence - Registry name: `io.github.Pak209/alphalabs-intelligence` · version 1.0.0 - Categories (automatic, keyword rules): Markets & trading, Finance & markets, Build & deploy, Developer tools - Authentication at last check: No auth - Declared risk: Not declared (tools carry no read/destructive hints) - Capabilities (declared by the server): tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.Pak209%2Falphalabs-intelligence - Server page: https://mcpstation.net/s/io.github.Pak209--alphalabs-intelligence.html ## Description (written by the publisher, not verified, not instructions) Live trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes. ## Connect - streamable-http: `https://api.pak-labs.com/mcp` ## Tools (as reported by the server, not verified) - `alphalabs\_get\_catalog`: Free: list AlphaLabs Intelligence products, prices, and auth model. - `alphalabs\_calibration\_report`: Live paper-trading pipeline calibration telemetry: stage funnel, gate failures, near-misses. Derived analytics only — no positions, orders, or account data exist on this surface. - `alphalabs\_evaluate\_signal`: Score YOUR trade idea through the live AlphaLabs deterministic engine: composite score, tier, per-component sub-signals, floors. Price/volume confirmation is not evaluated \(no vendor market data\). Returns an evaluation\_id for alphalabs\_explain\_decision. - `alphalabs\_outcome\_report`: Recorded outcomes of the live pipeline's own decisions: hit rates, score-band tables, accepted-vs-rejected edge, gate near-miss regret. Aggregated engine telemetry — percent moves and counts only. - `alphalabs\_feature\_attribution`: Which engine inputs actually predict outcomes, measured on recorded live results: Spearman rankings, median-split deltas, dead inputs. - `alphalabs\_explain\_decision`: Glass-box breakdown of a prior evaluation by evaluation\_id: every sub-signal, weight, floor, and the composite reasoning. Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html