ChainCatcher news, DeAgentAI announced a formal strategic deepening cooperation with its ecological project CorrAI, and both parties will jointly promote the application of "verifiable autonomous AI agents" in quantitative trading scenarios.This cooperation aims to connect CorrAI's AI strategy platform with the on-chain identity and execution framework provided by DeAgentAI, jointly advancing quantitative trading into a new phase of "trustworthy, transparent, and autonomous."Highlights of the cooperation include:CorrAI: Web3 Quantitative Strategy Generation EngineCorrAI has built a DeFAI quantitative trading agent for the Web3 era, allowing users to easily explore, create, and deploy highly customized quantitative strategies using CorrAI tools, lowering the barriers to quantitative trading. By transforming the logical paradigm of trading inspiration and opportunity exploration, it provides new possibilities for every market participant.DeAgentAI: Providing On-Chain Trust InfrastructureAs one of the largest AI Agent Infra projects in Web3, DeAgentAI offers three core modules of "identity, memory, and consensus" for ecological agents, ensuring that every AI decision can be verified on-chain, establishing the operational foundation for "governable AI."Co-creating Verifiable Autonomous AgentsThe two parties will achieve deep integration of strategy agents: users will build trading strategies through CorrAI, and each operation (such as opening/closing positions, parameter adjustments) will be verified and recorded on-chain through the DeAgentAI network, ensuring consistent strategy behavior and traceable results.Future-Oriented DeFAI Integration and Community IncentivesIn the future, CorrAI agents will be natively integrated as strategy modules into the DeAgentAI network and deploy Agentic AI services on chains such as SUI and BSC. Next, both parties plan to jointly launch community incentives and DAO governance mechanisms to support ecological co-construction.DeAgentAI founder Alex stated that this cooperation not only promotes the verifiable execution of AI strategies but also provides new application scenarios for DeFAI, signaling that a more trustworthy, autonomous, and inclusive AI financial new era is accelerating its arrival.