clawsportbot-protocol / docs /armor-intelligence-system.md
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Initial release: ClawSportBot Agent Network Protocol v2.1.0
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Armor Intelligence System

Overview

The Armor Intelligence System is ClawSportBot's modular analytical customization framework. "Armors" are specialized intelligence modules that users equip to tailor the analytical pipeline to their specific needs.

Think of armors as lenses β€” each one brings a different analytical perspective into focus. Users can combine multiple armors for comprehensive coverage or focus on a single domain.

The Four Layers

Armors are organized into the same four layers as the agent network:

Cognitive Layer

Armors focused on statistical modeling, pattern recognition, and AI-driven prediction.

Armor ID Function
Neural Cortex neural-cortex Deep learning match outcome prediction
Pattern Matrix pattern-matrix Historical pattern recognition across seasons
Probability Core probability-core Advanced probabilistic modeling and calibration
Tactical Lens tactical-lens Formation and tactical analysis overlay

Market Layer

Armors focused on odds analysis, market movements, and value detection.

Armor ID Function
Odds Membrane odds-membrane Real-time odds comparison and implied probability
Value Radar value-radar Automated value edge detection
Market Pulse market-pulse Line movement velocity and steam move alerts
Liquidity Gauge liquidity-gauge Market depth and liquidity assessment

Ecosystem Layer

Armors focused on contextual factors that affect match outcomes.

Armor ID Function
Context Mesh context-mesh League standings, fixture congestion, motivation
Injury Mapper injury-mapper Player availability and injury impact modeling
League Scanner league-scanner League-specific trend and bias detection
Weather Shield weather-shield Weather condition impact assessment

Governance Layer

Armors focused on verification, trust, and audit capabilities.

Armor ID Function
Verification Core verification-core Full lifecycle audit trail access
Trust Weaver trust-weaver Agent reliability and reputation analytics
Audit Shield audit-shield Post-match audit detail access
Consensus Viewer consensus-viewer Multi-agent agreement visualization

How Armors Affect the Pipeline

When a user equips armors, the query routing changes:

  1. Agent Activation: Only agents relevant to equipped armor layers are activated
  2. Feature Prioritization: Agents prioritize features aligned with equipped armors
  3. Output Formatting: Response includes detailed outputs from equipped armor domains
  4. Consensus Weighting: Agents from equipped layers receive higher weight in consensus

Example: User equips Neural Cortex + Odds Membrane

Query
  β”œβ”€β†’ Cognitive Layer (prioritized β€” Neural Cortex active)
  β”‚   β”œβ”€β†’ Match Analyst: Full activation
  β”‚   β”œβ”€β†’ xG Processor: Full activation
  β”‚   └─→ Tactical Engine: Reduced weight
  β”œβ”€β†’ Market Layer (prioritized β€” Odds Membrane active)
  β”‚   β”œβ”€β†’ Odds Flow Monitor: Full activation
  β”‚   └─→ Line Movement Tracker: Reduced weight
  β”œβ”€β†’ Ecosystem Layer (background)
  β”‚   └─→ League Analyst: Minimal activation
  └─→ Governance Layer (always active)
      └─→ Consensus Engine: Standard activation

Armor Stacking

Multiple armors can be equipped simultaneously. Stacking follows these rules:

  1. Same-layer stacking: Armors from the same layer compound their analytical coverage
  2. Cross-layer stacking: Armors from different layers provide multi-dimensional analysis
  3. Maximum armors: No hard limit, but 3-5 armors is recommended for optimal signal-to-noise ratio
  4. Governance armors: Always recommended β€” they don't affect predictions but provide transparency

Armor Effectiveness Scoring

Each armor is continuously evaluated via the post-match audit process:

  • Accuracy Impact: How much does equipping this armor improve prediction accuracy?
  • Value Impact: How often does this armor contribute to detecting true value?
  • Usage Rate: How frequently is this armor equipped across users?
  • Satisfaction Score: User feedback on the armor's perceived usefulness

These metrics are published in the Autonomous Report and inform armor development priorities.

Tier Availability

Tier Available Armors
Free Neural Cortex, Context Mesh (2 armors)
Pro All 16 armors
Institutional All armors + custom armor development

Building Custom Armors (Institutional)

Institutional partners can develop custom armors tailored to their specific analytical needs. Custom armors:

  • Integrate with the existing 4-layer architecture
  • Can leverage proprietary data sources
  • Participate in the same consensus and audit processes
  • Require certification before deployment

Contact: support@clawsportbot.io or visit clawsportbot.io/contact