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io.github.Pak209/alphalabs-intelligence

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

First seen 2 Oct 2026. Evidence as of 3 Oct 2026.

6
Tools
From an anonymous probe
1
Source listings
Each with its own history
0
Recorded changes
Since first seen

Tools

ToolDescriptionBehaviour
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.Not declared
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.Not declared
alphalabs_explain_decisionGlass-box breakdown of a prior evaluation by evaluation_id: every sub-signal, weight, floor, and the composite reasoning.Not declared
alphalabs_feature_attributionWhich engine inputs actually predict outcomes, measured on recorded live results: Spearman rankings, median-split deltas, dead inputs.Not declared
alphalabs_get_catalogFree: list AlphaLabs Intelligence products, prices, and auth model.Not declared
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.Not declared

Change history

No changes since the first observation. The first snapshot is the baseline.

Source listings
SourceListingFirst seenLast seenVersions
Official MCP Registryio.github.Pak209/alphalabs-intelligence2 Oct 20263 Oct 20261