# io.github.Pak209/alphalabs-intelligence

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

- name: io.github.Pak209/alphalabs-intelligence
- version: 1.0.0
- connection class: R0 (autonomous)
- trust: 72/100 flags: no-repository
- quality: 79/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.Pak209%2Falphalabs-intelligence
- tools: https://api.protogrid.dev/v1/servers/io.github.Pak209%2Falphalabs-intelligence/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "alphalabs-intelligence": {
      "type": "http",
      "url": "https://api.pak-labs.com/mcp",
      "headers": {
        "Authorization": "Bearer ${ALPHALABS_INTELLIGENCE_TOKEN}"
      }
    }
  }
}
```

Placeholders to fill: `${ALPHALABS_INTELLIGENCE_TOKEN}`.

## Trust

- hygiene: 80
- liveness: 99
- freshness: 65
- provenance: 45
- drivers: +website +reachable +uptime-97% ~updated-93d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 79/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 71 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: alphalabs_evaluate_signal (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); alphalabs_outcome_report (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); alphalabs_explain_decision (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 549 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 6, about 549 tokens to load them all
- tool set hash: e15f5264ce10ca5a1d922b9bb0b9ffbd
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.Pak209/alphalabs-intelligence.svg)](https://protogrid.dev/servers/io.github.Pak209/alphalabs-intelligence)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://api.pak-labs.com/mcp (streamable-http, auth none, reachable true, uptime30d 0.9652174)

## Packages

_none_

## Tools (6)

- `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_explain_decision`: Glass-box breakdown of a prior evaluation by evaluation_id: every sub-signal, weight, floor, and the composite reasoning.
- `alphalabs_feature_attribution`: Which engine inputs actually predict outcomes, measured on recorded live results: Spearman rankings, median-split deltas, dead inputs.
- `alphalabs_get_catalog`: Free: list AlphaLabs Intelligence products, prices, and auth model.
- `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.