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  • INTUE Documentation
  • Getting Started
  • Architecture Overview
  • INTUE m0
  • INTUE ARB
  • INTUE m3
  • Model Context Protocols (MCPs) - Overview
  • Correlation MCPs
  • Category MCPs
  • Metric MCPs
  • Analysis MCPs
  • Exchange Integration - Binance Adapter
  • Exchange Integration - Hyperliquid Adapter
  • Developer Resources - Creating Custom Agents
  • Agent Marketplace
  • Creating Custom MCPs
  • API Reference - Agent API
  • Error Handling
  • Pagination
  • Risk Management
  • Advanced Topics - Swarm Intelligence
  • Multi-Agent Coordination
  • Consensus Mechanisms
  • Swarm Learning
  • Performance Optimization
  • Implementation Best Practices
  • Conclusion
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  • Architecture Overview
  • System Components
  • Data Flow
  • Component Interaction

Architecture Overview

Architecture Overview

System Components

INTUE's architecture consists of five primary components:

  1. Data Ingestion Layer: Collects and normalizes market data from exchanges, on-chain sources, and social metrics

  2. Protocol Layer: Contains the MCPs that process and contextualize data

  3. Agent Layer: Houses autonomous agents that leverage protocols for analysis and decision-making

  4. Execution Layer: Handles order execution and position management via exchange adapters

  5. Interface Layer: Provides APIs, dashboards, and monitoring tools

Data Flow

Raw Data → Data Ingestion → Protocol Processing → Agent Analysis → Execution Framework →Exchanges ↑ | └───────────────────── Feedback Loop─────────────────┘

  1. Raw data streams in from exchanges, on-chain sources, and social platforms

  2. The Data Ingestion Layer normalizes and organizes this data into standardized formats

  3. Protocol Processing applies specialized MCPs to extract meaningful patterns and relationships

  4. Agent Analysis evaluates protocol outputs to generate actionable signals

  5. The Execution Framework translates signals into orders via exchange adapters

  6. Performance feedback is continuously evaluated to optimize agent behavior

Component Interaction

Agents interact with protocols through a standardized API, allowing them to:

  • Request specific data processing

  • Subscribe to continuous updates

  • Compose multiple protocol outputs

  • Provide feedback for protocol optimization

This modular design enables independent development and evolution of each component while maintaining system cohesion.

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Last updated 18 days ago