How AI agent testing works
Debug your UCP integration over MCP, REST and WebMCP, test AI shopping agents against your store, compare model performance on the leaderboard, and share session replays with your team.
Inspect & debug
Connect to your store over UCP — MCP or REST — or open the tools its own page registers with WebMCP. Call tools by hand, inspect raw responses, and find exactly where your schemas break, before an agent ever sees them. Not sure if your store supports UCP? Check with UCP Checker ↗ first.
Test with real AI models
Run more than 25 AI models against your store and see where they get stuck. The agent connects the way a real shopping agent would — UCP over MCP or REST, or the WebMCP tools on your store's page — and works through search, cart and checkout. See all supported features. No store of your own yet? Try the reference stores on UCP Sandbox ↗.
Compare models
Aggregated metrics from real agent sessions across real stores. See which models reliably complete checkouts and which ones fail silently. Browse individual model profiles for detailed shopping scores and known issues.
Track every session
Every agent session is saved automatically. Filter by store, model, or outcome to track your progress as you iterate on your integration. Automate this with evals and collections and the headless API for CI/CD pipelines. Testing a store on your own machine? See local testing.
Replay & share
Turn any session into a shareable replay. Show stakeholders exactly what happened — from the chat view or the raw backend event stream. Embed replays on your blog, in docs, or in a board deck.