AI agents in automated trading enhance efficiency but risk on-chain price manipulation. Advanced detection technologies are crucial to monitor these activities. Machine learning algorithms analyze real-time blockchain data, identifying abnormal trading patterns like spoofing or pump-and-dump schemes. On-chain analytics track wallet movements and liquidity shifts, flagging suspicious transactions. AI-driven oracles integrate off-chain data, such as social media sentiment, to detect coordinated manipulation. Decentralized platforms like Phala Network use Trusted Execution Environments to ensure secure data processing, enhancing transparency. Despite challenges like data quality and regulatory gaps, AI-powered tools improve market integrity by enabling rapid anomaly detection and response, safeguarding decentralized finance ecosystems from manipulation while maintaining trust and fairness in crypto markets.