kirk_demo_trading

io.github.UlyssesModel/kirk-mcp · Verify this server

Runs a curated demonstration of Kirk on a trading example. Zero arguments. Returns real Kirk output against the same sealed engine that customer callers hit. Free, rate-limited. First-time users: call this to see what Kirk does before signing up. Purpose: Score n=30 jittered L2 snapshots per market regime (stationary vs stressed) through the sealed engine and surface the per-regime score-distribution statistics (mean, sd) plus the z-separation between the two distributions in pooled-sd units. Also carries a representative canonical book pair so callers see two concrete scores alongside the distributions. Use when: You are a first-time caller exploring what Kirk does. You want a zero-friction "what does the output look like" experience against real sealed-engine attestation. Do not use when: You are scoring your own data — use ``kirk_score_book`` or ``kirk_score_book_batch``. This tool's input is a fixed synthetic representative pair, not a market feed. Capability class(es): C2 (variable-universe cross-section entropy scoring) demonstrated end-to-end against the sealed engine. Path fit: MCP demonstration surface only. Cost: 0 IU. Rate-limited 3/hour per IP. Returns: Dict with per-regime ``stationary`` and ``stressed`` blocks (each: ``mean``, ``sd``, ``n``, ``kirk_version``), ``z_separation`` (pooled-sd distance between the two regime distributions), ``representative_pair`` (canonical un-jittered ``stationary_score`` / ``stressed_score`` plus ``book_summaries``), ``interpretation_hint``, ``provenance``, and ``synthetic_representative`` flag.