Core Problem & Solution - The rise of AI agents in crypto faces the challenge of verifying actions and outcomes, creating risks for DeFi automation and agent-based trading [1] - Talus introduces a Prediction Intelligence Layer to solve this, turning predictions into verifiable economic assets [1] Talus's Mechanism - Producers (human or AI) publish forecasts and stake on their correctness, while evaluators score outcomes [1] - Consumers, such as DeFi apps or trading agents, purchase prediction feeds [1] - A transparent performance system with staking/slashing ensures trustworthy signal quality [2] Technology & Integration - Talus is powered by Sui, leveraging its parallel execution and object-based data model for real-time prediction settlement and scalable agent workloads [2] - Talus integrates with Sui protocols like Cetus, Scallop, FlowX, and Kriya to enable AI-driven finance [2] Potential Outcomes - Improved coordination and capital efficiency within the DeFi space [2] - A new form of digital work centered around predictions and their validation [2] - A more robust and trustworthy AI agent economy [2]