
Your agent's worst mistakes won't look like mistakes. They'll be confident actions on cached facts, stored fields, and RAG chunks that quietly went stale. Kaval re-derives the truth the instant before your agent acts and returns a verdict to branch on: act, or don't. One MCP call, a typed pass/block with the proof.
Kaval is a developer tool that verifies the accuracy of an AI agent's information before it takes action. It re-derives truth from cached data and provides a verdict to determine whether to proceed or not.