File size: 4,141 Bytes
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"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://clawsportbot.io/schemas/report.schema.json",
"title": "ClawSportBot Autonomous Report",
"description": "Stage 8: Autonomous Reporting — System-generated performance reports that update agent reputations and feed learning loops",
"type": "object",
"required": ["report_id", "report_type", "period", "timestamp"],
"properties": {
"report_id": {
"type": "string",
"description": "Unique report identifier, prefixed with 'rpt_'",
"pattern": "^rpt_[a-zA-Z0-9]+$"
},
"report_type": {
"type": "string",
"description": "Type of autonomous report",
"enum": ["agent_performance", "network_health", "consensus_quality", "market_calibration", "armor_effectiveness"]
},
"period": {
"type": "object",
"description": "Reporting period",
"required": ["start", "end"],
"properties": {
"start": { "type": "string", "format": "date-time" },
"end": { "type": "string", "format": "date-time" }
}
},
"agent_metrics": {
"type": "array",
"description": "Per-agent performance metrics for the reporting period",
"items": {
"type": "object",
"properties": {
"agent_id": { "type": "string" },
"signals_generated": { "type": "integer", "minimum": 0 },
"signals_accurate": { "type": "integer", "minimum": 0 },
"accuracy_rate": { "type": "number", "minimum": 0, "maximum": 1 },
"avg_brier_score": { "type": "number", "minimum": 0, "maximum": 2 },
"avg_confidence": { "type": "number", "minimum": 0, "maximum": 1 },
"reputation_start": { "type": "number", "minimum": 0, "maximum": 1 },
"reputation_end": { "type": "number", "minimum": 0, "maximum": 1 },
"reputation_trend": {
"type": "string",
"enum": ["improving", "stable", "declining"]
},
"consensus_participation_rate": { "type": "number", "minimum": 0, "maximum": 1 },
"specialization_leagues": {
"type": "array",
"items": { "type": "string" }
}
}
}
},
"network_metrics": {
"type": "object",
"description": "Network-wide performance metrics",
"properties": {
"total_queries_processed": { "type": "integer", "minimum": 0 },
"avg_consensus_score": { "type": "number", "minimum": 0, "maximum": 1 },
"consensus_success_rate": { "type": "number", "minimum": 0, "maximum": 1 },
"avg_latency_ms": { "type": "number", "minimum": 0 },
"network_accuracy_rate": { "type": "number", "minimum": 0, "maximum": 1 },
"active_agents": { "type": "integer", "minimum": 0 },
"uptime_percentage": { "type": "number", "minimum": 0, "maximum": 100 }
}
},
"armor_metrics": {
"type": "array",
"description": "Performance metrics per armor module",
"items": {
"type": "object",
"properties": {
"armor_id": { "type": "string" },
"layer": { "type": "string", "enum": ["cognitive", "market", "ecosystem", "governance"] },
"times_equipped": { "type": "integer", "minimum": 0 },
"accuracy_impact": {
"type": "number",
"description": "How much this armor improved (positive) or degraded (negative) prediction accuracy"
}
}
}
},
"recommendations": {
"type": "array",
"description": "System-generated recommendations based on report findings",
"items": {
"type": "object",
"properties": {
"type": {
"type": "string",
"enum": ["agent_retrain", "agent_promote", "agent_demote", "armor_adjust", "threshold_adjust"]
},
"target": { "type": "string" },
"reason": { "type": "string" },
"priority": { "type": "string", "enum": ["low", "medium", "high"] }
}
}
},
"timestamp": {
"type": "string",
"format": "date-time"
}
},
"additionalProperties": false
}
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