An AI-powered API that checks medical claims against published evidence and verifies cited references — directly from your CMS, CAS, review tools, or agentic AI workflows. Submit a claim, get back a verdict with scored evidence. Submit a reference, find out if it has been retracted or corrected. REST API and MCP server.
Two products, one API
Send a drug name and a claim. The API retrieves published evidence, uses AI to assess how well it supports the claim, and returns a verdict — Fully Supported, Supported, Partial Support, or Unsupported — with per-dimension scores, rationale, and source links you can trace.
Send a cited reference. The API finds it in the literature and checks for retractions, errata, and expressions of concern — so you know a reference is still valid before your content goes live. Cached results are monitored weekly for status changes.
Async by design — submit, poll, act
OAuth 2.0 client credentials. Exchange your API key for a token. The token response includes your current quota and balance.
POST your claim or reference. Get back a job ID immediately. Idempotency keys prevent duplicate work on retries.
Poll the job. Claim checks return a verdict, dimension scores, and source links. Reference checks return retraction and correction status. Cache hits return in seconds.
REST API for your applications, MCP for your AI agents
Standard HTTP endpoints with OAuth 2.0 authentication. Integrate into your CMS, editorial workflow, claims library, or compliance tools. Structured JSON responses with verdicts, scores, rationale, and source links.
Model Context Protocol tools that AI agents call directly. Your agent asks “is this claim supported?” and gets back scored evidence — no prompt engineering, no hallucinated citations. The MCP server handles the async lifecycle internally.
Check claims as you write. Integrate into your authoring tools so content is evidence-checked before it reaches the review committee.
Build evidence checking into your content production pipeline. Validate claims before delivery so client review cycles are shorter and cleaner.
Add evidence-based claim validation to your platform. Structured responses with verdicts and sources — render them however fits your product.
Give your AI agents access to authoritative medical evidence via MCP. Ground health-related outputs in published data instead of parametric knowledge.
