Close the loop — Evaluate agent behavior and turn knowledge into verified trusted context.
Three layers. One pipeline. Verified context from source to agent.
Agent Layer
Structured files that agents read, execute, and stay aligned with.
Context OS
APIEval across models — score accuracy, flag gaps, track drift
Generate verified context to fill identified gaps
Human-in-the-loop approval before anything goes live
Deploy to agent skills, knowledge bases, and websites
Context Engine
Connected to your source of truth. Observed in production.
Request an API key. Run your first eval. Give your agents verified context they can trust.