io.github.Pak209/alphalabs-intelligence

Live trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes.

Endpointhttps://api.pak-labs.com/mcp (streamable-http)
Registry version1.0.0
Now6 tools · grade A (96) · pin ts_8f03f3ba4d6e520ba8bf471c1bb69b3c · protocol 2025-06-18
First / last listed2026-11-10 01:22 UTC / 2026-11-10 01:22 UTC
Grade over time2026-11-10: A (96), 6 tools

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Timeline

First listing · 2026-11-10 01:22 UTC
6 tools, grade A (96)

Tools: alphalabs_get_catalog alphalabs_calibration_report alphalabs_evaluate_signal alphalabs_outcome_report alphalabs_feature_attribution alphalabs_explain_decision

Current tools (6)

alphalabs_get_catalogFree: list AlphaLabs Intelligence products, prices, and auth model.
params: none
alphalabs_calibration_reportLive paper-trading pipeline calibration telemetry: stage funnel, gate failures, near-misses. Derived analytics only — no positions, orders, or account data exist on this surface.
params: none
alphalabs_evaluate_signalScore 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.
params: ticker*, bias*, confidence, catalyst, thesis, catalyst_type, catalyst_score
alphalabs_outcome_reportRecorded 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.
params: none
alphalabs_feature_attributionWhich engine inputs actually predict outcomes, measured on recorded live results: Spearman rankings, median-split deltas, dead inputs.
params: none
alphalabs_explain_decisionGlass-box breakdown of a prior evaluation by evaluation_id: every sub-signal, weight, floor, and the composite reasoning.
params: evaluation_id*

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.