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AI Agent Integration

Overview

This framework aims to leverage AI Agents to enable intelligent participation in competition networks, covering key functions such as prediction, Q&A Assistant​ AI Agent, and data verification, while emphasizing security and decentralization. We will first develop and introduce Q&A assistant AI Agent for match-related inquiries

Core Features

  • Staking Mechanism Lock MATCH to generate VOTE tokens (1:10 ratio, ratios are customizable per organizer requirements) VOTE acts as verifiable contribution credits
  • Dynamic Staking & Contribution Submit match stats/analyses → Earn 0.1-3 VOTE per valid data point
  • MCP (Model Context Protocol) Integration Context-aware neural networks for predictions Hybrid consensus: On-chain validation + Off-chain TEE computation

Prediction Functions​

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