Analyze your selection
POST /relationships:analyze. The result includes relationships, basket findings, per-input coverage and the scenario versions used in the comparison.
Pairwise and basket findings
Pairwise findings include equality, complement, implication, payout dominance, exclusivity and overlap. Each result explains which scenarios and settlement rules it covers. A basket can be classified asPARTITION, EXCLUSIVE, EXHAUSTIVE, OVERLAPPING or UNCOMPUTED. Counts distinguish no outcome paying, exactly one paying and two or more paying. Duplicate canonical outcomes are deduplicated for these set statistics.
Witness references explain a gap, overlap or counterexample. witness_limit restricts returned examples, not the domain used to establish a finding.
Counts have a denominator
Counts depend on the published scenario version and representation. They are not probabilities. A compressed payout group must not be presented as a raw scenario count.POSITIVE_PAYOUT and FULL_PAYOUT differ when fractional or void settlements are possible.
By default, incomplete coverage rejects the analysis. Explicit partial analysis describes only the supported subset; it cannot establish a conclusion for the whole selection.
Discover related markets separately
GET /relationships can return neighbors outside your initial market. Select those outcomes explicitly before including them in calculations. Discovery does not expand an analytical request automatically.