Search / io.github.Pak209/alphalabs-intelligence
alphalabs-intelligence
R0· no sign-inLive trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes.
v1.0.0 · active · website · descriptor JSON · versions
Search / io.github.Pak209/alphalabs-intelligence
R0· no sign-inLive trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes.
v1.0.0 · active · website · descriptor JSON · versions
{
"mcpServers": {
"alphalabs-intelligence": {
"type": "http",
"url": "https://api.pak-labs.com/mcp",
"headers": {
"Authorization": "Bearer ${ALPHALABS_INTELLIGENCE_TOKEN}"
}
}
}
}claude mcp add --transport http alphalabs-intelligence https://api.pak-labs.com/mcp --header "Authorization: Bearer ${ALPHALABS_INTELLIGENCE_TOKEN}"[mcp_servers.alphalabs-intelligence]
url = "https://api.pak-labs.com/mcp"
bearer_token_env_var = "ALPHALABS_INTELLIGENCE_TOKEN"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"alphalabs-intelligence": {
"type": "remote",
"url": "https://api.pak-labs.com/mcp",
"enabled": true,
"headers": {
"Authorization": "Bearer {env:ALPHALABS_INTELLIGENCE_TOKEN}"
}
}
}
}{
"mcpServers": {
"alphalabs-intelligence": {
"type": "http",
"url": "https://api.pak-labs.com/mcp",
"headers": {
"Authorization": "Bearer ${ALPHALABS_INTELLIGENCE_TOKEN}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=alphalabs-intelligence&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXBpLnBhay1sYWJzLmNvbS9tY3AiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgJHtBTFBIQUxBQlNfSU5URUxMSUdFTkNFX1RPS0VOfSJ9fQ%3D%3D"
}{
"servers": {
"alphalabs-intelligence": {
"type": "http",
"url": "https://api.pak-labs.com/mcp",
"headers": {
"Authorization": "Bearer ${ALPHALABS_INTELLIGENCE_TOKEN}"
}
}
}
}{
"mcpServers": {
"alphalabs-intelligence": {
"httpUrl": "https://api.pak-labs.com/mcp",
"headers": {
"Authorization": "Bearer ${ALPHALABS_INTELLIGENCE_TOKEN}"
}
}
}
}extensions:
"alphalabs-intelligence":
enabled: true
name: "alphalabs-intelligence"
type: streamable_http
uri: "https://api.pak-labs.com/mcp"
headers:
"Authorization": "Bearer ${ALPHALABS_INTELLIGENCE_TOKEN}"
timeout: 300
Placeholders to fill from your own secret store: ${ALPHALABS_INTELLIGENCE_TOKEN}. The registry never accepts secret values.
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky onestools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: alphalabs_evaluate_signal (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); alphalabs_feature_attribution (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); alphalabs_get_catalog (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …tools.token_costabout 549 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+website +reachable +uptime-96% ~updated-92d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://api.pak-labs.com/mcp streamable-http | none | yes | 96% | 439 ms | 2025-06-18 | 2026-10-19 |
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. |
Schemas: list_tools.
{
"name": "io.github.Pak209/alphalabs-intelligence",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://api.pak-labs.com/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"format": "string",
"isSecret": true,
"description": "API key (free beta keys: POST /v1/keys/beta with your email, or see https://api.pak-labs.com)"
}
]
}
],
"version": "1.0.0",
"websiteUrl": "https://api.pak-labs.com",
"description": "Live trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes."
}