Hunter-Seeker

Free; no engine run. Return Hunter-Seeker's input contract, supported problem shapes, the trust guarantees (determinism, provenance, honest-empty; plus leak-guard, which is LIVE as of engine 0.1.1: it quarantines columns that predict the outcome too well (likely target leakage), each named with a pl

Free; no engine run. Register a dataset too large to inline in hs_rank_topk, then run it by dataset_id. RECOMMENDED for any real dataset (bigger than a small paste). Two ways to get the bytes in, no manual step needed from the user: - upload (best for a file you have): call it with no arguments to

Costs one run from your monthly quota - the only tool that does. The run is refunded on honest-empty or error, so you are billed only for a ranking you actually received. Rank the rows of a table by their likelihood of a binary (yes/no) outcome, and return the top-k highest-likelihood entities with

Free to call; the run it polls is the billable one. Check a long-running ranking started by hs_rank_topk in an async mode (a dataset_id or fetch_url run). Returns status "pending" (poll again after the suggested interval; do not tight-loop) or the completed ranking envelope. A pending response may a

Free; no engine run. For one or more entities already ranked by hs_rank_topk, compute the minimal set of feature changes (counterfactual levers) that would move the entity out of the high-risk / high-likelihood pattern. Best for: "what would have to change for this customer not to churn", "what's dr

Free; no engine run. For a ranking already produced by hs_rank_topk (pass its ranking_ref), return THE PATTERN the engine found - the core of what Hunter-Seeker does: it discovers a COMBINATION of feature-conditions that, TOGETHER, predict the outcome (not independent per-feature effects). Returns p

Free; no engine run. For a ranking already produced by hs_rank_topk (pass its ranking_ref), return the model DIAGNOSTICS so you can judge how much to trust it BEFORE acting on it. Returns: top_decile_lift (how concentrated the outcome is in the top-ranked group), calibration_error (ECE - lower is be

Free; no engine run. For a ranking already produced by hs_rank_topk (pass its ranking_ref), return a PORTABLE BRIEF you can drop straight into your own agent's context - the whole analysis as one compact artifact instead of three separate calls. Returns: provenance (engine version, core hash, the ra