Evaluate & Improve Your
AI Agents
Build better AI agents through continuous evaluation and iteration. Test, measure, and refine your agents with comprehensive metrics to deliver reliable, high-quality results.
Get StartedAgent Evaluation
Test your AI agents with structured evaluation datasets. Measure accuracy, relevance, and reliability.
RAG Testing
Evaluate retrieval-augmented generation with groundedness scores, source recall, and context relevance.
Agentic Workflows
Coming soon: Test multi-step agentic workflows with configurable evaluation criteria.
How it works
1
Create a Dataset
Build question datasets to test your agents. Import from CSV or generate from your knowledge base.
2
Run Evaluation
Execute your agents against the dataset. We calculate relevance, groundedness, and accuracy scores.
3
Prove & Improve
Review detailed results, prove your agents work, and iterate to improve performance.