{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://clawsportbot.io/schemas/audit.schema.json",
  "title": "ClawSportBot Post-Match Audit",
  "description": "Stage 7: Post-Match Audit — Accuracy verification of signals against actual match outcomes",
  "type": "object",
  "required": ["audit_id", "query_id", "match_id", "actual_outcome", "signal_audits", "timestamp"],
  "properties": {
    "audit_id": {
      "type": "string",
      "description": "Unique audit identifier, prefixed with 'aud_'",
      "pattern": "^aud_[a-zA-Z0-9]+$"
    },
    "query_id": { "type": "string" },
    "match_id": { "type": "string" },
    "actual_outcome": {
      "type": "object",
      "description": "The actual match result",
      "required": ["home_goals", "away_goals", "result"],
      "properties": {
        "home_goals": { "type": "integer", "minimum": 0 },
        "away_goals": { "type": "integer", "minimum": 0 },
        "result": {
          "type": "string",
          "enum": ["home_win", "draw", "away_win"]
        },
        "xg_home": { "type": "number", "minimum": 0 },
        "xg_away": { "type": "number", "minimum": 0 }
      }
    },
    "signal_audits": {
      "type": "array",
      "description": "Individual audit results for each signal",
      "items": {
        "type": "object",
        "required": ["signal_id", "agent_id", "accurate"],
        "properties": {
          "signal_id": { "type": "string" },
          "agent_id": { "type": "string" },
          "accurate": {
            "type": "boolean",
            "description": "Whether the signal's primary prediction was accurate"
          },
          "accuracy_score": {
            "type": "number",
            "description": "Granular accuracy score (0.0 to 1.0) — accounts for calibration",
            "minimum": 0.0,
            "maximum": 1.0
          },
          "brier_score": {
            "type": "number",
            "description": "Brier score for probabilistic calibration (lower is better)",
            "minimum": 0.0,
            "maximum": 2.0
          },
          "reputation_delta": {
            "type": "number",
            "description": "Change to agent's reputation score based on this audit",
            "minimum": -0.1,
            "maximum": 0.1
          }
        }
      }
    },
    "consensus_audit": {
      "type": "object",
      "description": "Audit of the consensus prediction",
      "properties": {
        "consensus_accurate": { "type": "boolean" },
        "consensus_brier_score": { "type": "number" },
        "value_realized": {
          "type": "boolean",
          "description": "Whether the detected value edge materialized"
        },
        "edge_actual": {
          "type": "number",
          "description": "Actual edge realized (for value bets)"
        }
      }
    },
    "lifecycle_hash": {
      "type": "string",
      "description": "Cryptographic hash of the complete lifecycle trail for this query"
    },
    "timestamp": {
      "type": "string",
      "format": "date-time"
    }
  },
  "additionalProperties": false
}