io.github.Pak209/alphalabs-intelligence
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Publisher-provided description
Live trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes.
Summary by lookupd
Scores trade ideas via a deterministic engine and reports calibration, outcome statistics, and per-decision breakdowns for paper-trading…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http alphalabs-intelligence https://api.pak-labs.com/mcp
Codex, remote (streamable-http)
codex mcp add alphalabs-intelligence --url https://api.pak-labs.com/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"alphalabs-intelligence": {
"url": "https://api.pak-labs.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (6 tools)
Publisher-provided text
alphalabs_get_catalogFree: list AlphaLabs Intelligence products, prices, and auth model.alphalabs_calibration_reportLive paper-trading pipeline calibration telemetry: stage funnel, gate failures, near-misses. Derived analytics only — no positions, orders, or account data exisalphalabs_evaluate_signalScore YOUR trade idea through the live AlphaLabs deterministic engine: composite score, tier, per-component sub-signals, floors. Price/volume confirmation is noalphalabs_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 telemealphalabs_feature_attributionWhich engine inputs actually predict outcomes, measured on recorded live results: Spearman rankings, median-split deltas, dead inputs.alphalabs_explain_decisionGlass-box breakdown of a prior evaluation by evaluation_id: every sub-signal, weight, floor, and the composite reasoning.
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 825 ms
- First indexed:
- Last seen in registry:
- Website: https://api.pak-labs.com
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- API base:
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https://api.lookupd.com/mcp