EVAL Engine (Evaluation Validation Architecture) is a decentralized framework designed to assess AI agents, particularly those operating in the cryptocurrency space. This innovative system focuses on providing verifiable, real-time evaluations while allowing for continuous learning, making it a vital tool for enhancing AI performance. The EVAL Engine leverages Chromia's gas-free relational blockchain architecture, which ensures that evaluations are transparent, immutable, and cost-effective. This foundation allows users to monitor AI agent performance without the burden of transaction fees, promoting wider accessibility and usability. Incorporating multiple large language models as evaluators, the system utilizes social engagement metrics to facilitate a robust feedback loop. This mechanism supports ongoing reinforcement learning, enabling AI agents to adapt and improve based on user interactions and assessments. EVAL Engine is designed to meet evolving performance standards by utilizing engagement-driven feedback loops. This ensures that evaluations remain relevant and accurate, aligning with the dynamic nature of AI development. A detailed roadmap outlines the future development of EVAL Engine, which includes API creation, data preparation, model development, and deployment. This strategic plan emphasizes the commitment to enhancing the evaluation process for AI agents in the cryptocurrency ecosystem.