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 Submit a reference, find out if it has been retracted or corrected.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.
Catch unsupported claims and compromised references before they reach reviewers, regulators, or patients.
Every claim in a promotional document either has published evidence behind it or it doesn’t. EvidenceHub retrieves evidence from seven authoritative sources, uses AI to score how well it supports the claim across four dimensions, and returns a clear verdict — Fully Supported, Supported, Partial Support, or Unsupported — with rationale and source links you can trace. Your team catches weak claims during authoring instead of during regulatory review.
A cited reference can be retracted, corrected, or flagged with an expression of concern at any time. EvidenceHub checks each reference against the published record and tells you its current status — so you know whether a citation is still valid before your content goes live. Cached results are monitored weekly so previously-verified references are re-flagged if their status changes.
Choose the integration that fits your workflow
Standard HTTP endpoints with OAuth 2.0 authentication. Integrate claim and reference checking 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.
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.
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.
Product questions, enterprise inquiries, partnership opportunities — we reply to every message.
