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100
MCP live MCP 2025-06-18 streamable-http

io.github.pak209/alphalabs-intelligence

io.github.pak209/alphalabs-intelligence

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

Watch this dependency

Get before/after evidence when observed tools, schemas, authentication access, availability or the endpoint changes.

Inspect evidence and set up a watch Share public evidence report
Uptime
100.0%
5 direct probes · 30d
Response
921ms
last probe
Tools
6
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://api.pak-labs.com/mcp
Score: 100/100
Handshake verified by our own probe.
why this score
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
6 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
6 items in total; 3 or more earns these points.
pass Describes itself 10/10
97 characters; more than 30 earns these points.

Tools · 6

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). Ret…

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.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "io.github.pak209/alphalabs-intelligence": {
      "url": "https://api.pak-labs.com/mcp",
      "transport": "streamable-http"
    }
  }
}