Kaval

Kaval serves as a critical verification layer designed to prevent incorrect actions by operational agents. It addresses the challenge of agents acting on stale or inaccurate information by re-deriving the truth from live sources instantly before any action is taken. Key capabilities include providing clear, actionable verdicts ("act" or "don't") rather than raw search results, enabling agents to make immediate decisions. Users can define custom proof standards, such as requiring primary source confirmation or multiple independent verifications, ensuring actions are only approved with sufficient and reliable evidence. Kaval is engineered to block actions when facts are outdated, contradicted, or insufficiently supported, thus acting as a robust pre-action gate. This tool is ideal for safeguarding critical operations where agent actions, if based on incorrect data, could have significant consequences. It helps maintain data integrity across various operational contexts, preventing issues stemming from stale CRM entries, cached prices, or outdated knowledge graphs. Kaval is designed for developers, engineering teams, and product managers building or deploying autonomous digital agents in environments where accuracy and real-time data validation are paramount. It ensures the reliability and trustworthiness of agent-driven processes by validating the underlying facts of every proposed action.