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Most AI hallucination tools check if content is true. But the failures that actually break agent pipelines are often structural: invented JSON fields, mismatched tool outputs, or prompt injections hidden in retrieved content.
This suite runs four suppressors in one API call: grounding checks, injection detection, JSON schema validation, and tool‑response verification.
Available as a REST API and MCP server.
Free tier (500 requests/month) at certifai.dev
CertifaiCatch AI hallucinations before they reach your users
Steve Swainleft a comment
I built this because I kept running into the same failure mode when working with AI agents: not truth hallucinations, but structural ones. The model would invent a field in a JSON response, claim a tool returned something it didn’t, or cite a source that wasn’t in the retrieved set. Sometimes a prompt injection was buried inside retrieved content and slipped through because it looked “trusted.”...
CertifaiCatch AI hallucinations before they reach your users