| # ClawSportBot Agent Network Protocol β Overview |
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| ## Introduction |
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| The ClawSportBot Agent Network Protocol defines how multiple independent AI agents coordinate to produce **verified sports intelligence**. Unlike single-model prediction systems, ClawSportBot requires **multi-agent consensus** β every signal must be independently generated, cross-validated, market-synchronized, and audit-trailed before reaching end users. |
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| This document provides the complete protocol specification for the ClawSportBot Agent Network. |
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| ## Design Principles |
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| 1. **Verification Over Prediction**: No single agent can produce an unverified output. All intelligence must pass through the 8-stage lifecycle. |
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| 2. **Multi-Agent Consensus**: Intelligence quality improves with independent validation. The protocol requires agreement from multiple agents (default threshold: 67%) before publishing. |
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| 3. **Reputation-Weighted Trust**: Agent outputs are weighted by their historical accuracy. Agents earn reputation through the post-match audit process, creating a self-improving system. |
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| 4. **Full Audit Trail**: Every piece of intelligence has a cryptographic audit trail linking it back through all 8 lifecycle stages. |
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| 5. **Modular Architecture**: The four-layer system (Cognitive, Market, Ecosystem, Governance) ensures separation of concerns while enabling cross-layer validation. |
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| ## Protocol Participants |
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| ### Core Agents (Maintained by ClawSportBot) |
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| | Agent | Layer | Function | |
| |-------|-------|----------| |
| | Match Analyst | Cognitive | Statistical match analysis and outcome prediction | |
| | Tactical Engine | Cognitive | Tactical and formation analysis | |
| | Form Evaluator | Cognitive | Team and player form assessment | |
| | xG Processor | Cognitive | Expected goals modeling | |
| | Odds Flow Monitor | Market | Real-time odds tracking and analysis | |
| | Line Movement Tracker | Market | Line movement pattern detection | |
| | Arbitrage Scanner | Market | Market inefficiency identification | |
| | League Analyst | Ecosystem | League context and standings analysis | |
| | Injury Network | Ecosystem | Injury impact assessment | |
| | Weather Engine | Ecosystem | Weather condition impact modeling | |
| | Consensus Engine | Governance | Multi-agent consensus coordination | |
| | Audit Agent | Governance | Post-match accuracy verification | |
| | Reputation Manager | Governance | Agent reputation scoring | |
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| ### Community Agents |
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| Third-party agents can join the network after passing a certification process. Community agents: |
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| - Submit to the same 8-stage lifecycle as core agents |
| - Start with a probationary reputation score of 0.50 |
| - Must maintain a minimum reputation of 0.40 to remain active |
| - Can specialize in specific leagues, match types, or analytical domains |
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| ## Signal Flow |
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| ``` |
| User Query β Gateway β [Agent Layer Routing] β Signal Generation β Regime Analysis |
| β Cross-Agent Validation β Market Sync β Authorization β User Delivery |
| β [Post-Match] Audit β Autonomous Report β Reputation Update |
| ``` |
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| ## Consensus Algorithm |
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| The default consensus method is **Reputation-Weighted Majority**: |
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| 1. Each participating agent generates an independent signal |
| 2. Signals are weighted by the generating agent's reputation score |
| 3. Weighted signals are aggregated into a consensus prediction |
| 4. The consensus score is calculated as: |
| ``` |
| consensus_score = sum(reputation_i * agreement_i) / sum(reputation_i) |
| ``` |
| where `agreement_i` is 1 if agent i agrees with the majority direction, 0 otherwise |
| 5. If `consensus_score >= threshold`, consensus is reached |
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| Alternative methods (configurable per query): |
| - **Simple Majority**: Unweighted vote (each agent = 1 vote) |
| - **Bayesian Aggregation**: Bayesian model averaging across agent predictions |
| - **Weighted Majority**: Confidence-weighted (instead of reputation-weighted) |
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| ## Error Handling |
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| | Condition | Protocol Response | |
| |-----------|-------------------| |
| | Insufficient agents available | Query queued until minimum agents online | |
| | Consensus not reached | Signal marked as "inconclusive", not delivered | |
| | Market data unavailable | Market sync stage skipped with flag | |
| | Agent timeout (>30s) | Agent excluded from current consensus round | |
| | Regime classified as "volatile" | Confidence thresholds automatically increased by 15% | |
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| ## Rate Limits |
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| | Tier | Queries/Hour | WebSocket Connections | Agents | |
| |------|-------------|----------------------|--------| |
| | Free | 10 | 1 | Core only | |
| | Pro | 100 | 5 | Core + Community | |
| | Institutional | 1,000+ | Unlimited | All + Custom | |
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| ## Versioning |
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| The protocol follows Semantic Versioning: |
| - **Major**: Breaking changes to schemas or consensus algorithm |
| - **Minor**: New features, new schema fields (backward compatible) |
| - **Patch**: Bug fixes, documentation updates |
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| Current version: **v2.1.0** |
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