I need to explore the natural segmentation opportunities in this boxing matches dataset. Let me examine the key dimensions and their distributions. ```json { "action": "tool_call", "reasoning": "First, I'll check the cardinality and distribution of the main categorical dimensions (result, decision, stance_A, stance_B) to understand how records naturally cluster. These are the primary classifiers that could define segments.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(*) as total_matches, COUNT(DISTINCT result) as distinct_results, COUNT(DISTINCT decision) as distinct_decisions, COUNT(DISTINCT stance_A) as distinct_stances_A, COUNT(DISTINCT stance_B) as distinct_stances_B, COUNT(DISTINCT CONCAT(stance_A, '-', stance_B)) as distinct_stance_matchups FROM raw.boxing_matches", "purpose": "Get cardinality of key categorical dimensions to assess segmentation potential" } } ```