目录 / alphalabs-intelligence
MCP
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alphalabs-intelligence
该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链
模型生成摘要(rules/v1 · 2026-09-27 16:11):alphalabs-intelligence:提供 alphalabs_get_catalog: Free: list AlphaLabs Intelligence pro… 等能力
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。
接入信息
- 传输形态
- http
- 鉴权方式
- 鉴权未知
- 端点
https://alphalabs-intelligence--pak-labs.run.tools
鉴权方式未标注,请核对官方文档后再接入——不要直接使用以下片段
{
"mcpServers": {
"alphalabs-intelligence": {
"url": "https://alphalabs-intelligence--pak-labs.run.tools"
}
}
}
能力清单
| 工具 | 说明 |
|---|---|
| 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. |
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