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How to Evaluate an AI Agent Token Before Investing
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For advanced investors, evaluation should go beyond tokenomics:
Algorithm Transparency: Does the AI agent provide verifiable logic or open-source code?
Performance Metrics: Look for on-chain performance data, like historical task outcomes or automated execution results.
Governance & Upgradability: Can token holders influence upgrades, or is the AI agent immutable?
Security Audits: Check for smart contract audits and on-chain exploits history.
Market Liquidity: Analyze token holder distribution and on-chain flow to anticipate potential slippage during trades.
Pro Tip: Combine on-chain analytics, AI model evaluation, and token distribution analysis for a holistic risk-reward assessment.
