OpenEvidence website screenshot

OpenEvidence

OpenEvidence is a clinical decision-support search platform that uses generative AI grounded in peer-reviewed medical literature to answer clinical questions for verified clinicians. The product is free for U.S. licensed clinicians and is monetized through pharmaceutical advertising; partnerships include the New England Journal of Medicine, JAMA, NCCN, and the Cochrane Library. As of 2026 it serves more than 860,000 verified clinicians. OpenEvidence does not currently expose a public self-service developer API.

OpenEvidence is profiled on the APIs.io network. Tagged areas include Healthcare, Clinical Decision Support, Medical AI, Generative AI, and Evidence-Based Medicine.

OpenEvidence’s developer surface includes signup flow, engineering blog, authentication, and 11 more developer resources.

20.9/100 emerging ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs 6 Features 3 Use Cases
HealthcareClinical Decision SupportMedical AIGenerative AIEvidence-Based MedicineSearchVoice

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 20.9/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 2.6 / 20
Commercial Clarity 5.8 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 10/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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Features 6

Notable capabilities this provider offers.

Evidence-Grounded Search

AI-powered medical search that returns answers grounded in peer-reviewed medical literature with inline citations.

Voice Mode

Hands-free voice interface allowing clinicians to ask clinical questions and receive spoken, evidence-based answers across web and mobile.

Visits

Real-time clinical intelligence delivered during the patient visit.

AI Medical Coding

Generative-AI feature that supports medical coding workflows.

Clinician Verification

Account access restricted to verified U.S. licensed healthcare professionals.

Mobile and Web

Available as web and mobile applications, free for verified clinicians.

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Openevidence Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Openevidence Vulnerability Disclosure

security.txt · contact published

SECURITY

Openevidence Trust Center

SOC 2, HIPAA

SECURITY

Use Cases 3

What developers build with this provider.

Point-of-Care Decision Support

Clinicians query OpenEvidence at the point of care for diagnostic, therapeutic, and management questions.

Medical Education

Use by medical residents and trainees for evidence lookup.

Coding and Documentation

AI medical coding workflows for revenue-cycle support.

Resources

Get Started 2

Portal, sign-up, and the first successful call

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 5

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 8

The organization behind the API

Scroll for all 8

Other 3

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: openevidence
url: https://raw.githubusercontent.com/api-evangelist/openevidence/refs/heads/main/apis.yml
name: OpenEvidence
type: Index
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/openevidence.png
description: OpenEvidence is a clinical decision-support search platform that uses generative AI grounded in peer-reviewed
  medical literature to answer clinical questions for verified clinicians. The product is free for U.S. licensed clinicians
  and is monetized through pharmaceutical advertising; partnerships include the New England Journal of Medicine, JAMA, NCCN,
  and the Cochrane Library. As of 2026 it serves more than 860,000 verified clinicians. OpenEvidence does not currently expose
  a public self-service developer API.
tags:
- Healthcare
- Clinical Decision Support
- Medical AI
- Generative AI
- Evidence-Based Medicine
- Search
- Voice
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
apis: []
common:
- type: TrustCenter
  url: security/openevidence-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/openevidence-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/openevidence-domain-security.yml
- type: Website
  url: https://www.openevidence.com/
- type: Signup
  url: https://www.openevidence.com/signup
- type: Login
  url: https://www.openevidence.com/signin
- type: Announcements
  url: https://www.openevidence.com/announcements
- type: About
  url: https://www.openevidence.com/about
- type: Careers
  url: https://www.openevidence.com/careers
- type: Contact
  url: https://www.openevidence.com/contact
- type: Blog
  url: https://www.openevidence.com/announcements
- type: GitHubOrganization
  url: https://github.com/openevidence
- type: LinkedIn
  url: https://www.linkedin.com/company/openevidence
- type: Twitter
  url: https://twitter.com/openevidence
- type: Features
  data:
  - name: Evidence-Grounded Search
    description: AI-powered medical search that returns answers grounded in peer-reviewed medical literature with inline citations.
  - name: Voice Mode
    description: Hands-free voice interface allowing clinicians to ask clinical questions and receive spoken, evidence-based
      answers across web and mobile.
  - name: Visits
    description: Real-time clinical intelligence delivered during the patient visit.
  - name: AI Medical Coding
    description: Generative-AI feature that supports medical coding workflows.
  - name: Clinician Verification
    description: Account access restricted to verified U.S. licensed healthcare professionals.
  - name: Mobile and Web
    description: Available as web and mobile applications, free for verified clinicians.
- type: UseCases
  data:
  - name: Point-of-Care Decision Support
    description: Clinicians query OpenEvidence at the point of care for diagnostic, therapeutic, and management questions.
  - name: Medical Education
    description: Use by medical residents and trainees for evidence lookup.
  - name: Coding and Documentation
    description: AI medical coding workflows for revenue-cycle support.
- type: Partnerships
  data:
  - name: New England Journal of Medicine
    description: Official AI partner of NEJM for evidence integration.
  - name: JAMA Network
    description: Official AI partner of JAMA and JAMA Network specialty journals.
  - name: NCCN
    description: Official AI collaboration with the National Comprehensive Cancer Network, including NCCN Guidelines Treatment
      Algorithms.
  - name: Cochrane Library
    description: Official AI partner of Cochrane Systematic Reviews.
  - name: Mayo Clinic Platform Accelerate
    description: Launch program through which OpenEvidence was incubated; Mayo Clinic is also an investor.
- type: Investors
  data:
  - name: Series D
    description: $250M Series D in January 2026 at a $12B valuation. Investors include Google Ventures, Nvidia, Thrive Capital,
      and Mayo Clinic.
- type: Authentication
  data:
  - name: Clinician Account
    description: Verified clinician sign-in via web and mobile apps; verification of state license and NPI is required.
  - name: No Public Developer API
    description: OpenEvidence does not currently publish a public, self-service developer API. Integration with EHRs and partner
      systems is handled directly. A docs.openevidence.com portal exists but is gated behind authentication.
- type: Compliance
  data:
  - name: HIPAA
    description: Operated as a HIPAA-aware clinical decision-support tool; not a substitute for professional clinical judgment.
  - name: Verified Professional Access
    description: Access limited to credentialed U.S. healthcare professionals.
- type: BusinessModel
  data:
  - name: Free for Clinicians
    description: The core product is free for verified U.S. clinicians.
  - name: Pharma-Sponsored
    description: Revenue is primarily generated through targeted pharmaceutical advertising displayed during the loading of
      AI-generated answers.
- type: Adoption
  data:
  - name: 860,000+ Clinicians
    description: Used by more than 860,000 verified U.S. clinicians as of 2026, covering over 40% of practicing U.S. physicians.
  - name: 20M+ Monthly Queries
    description: Monthly clinical consultations exceeded 20 million in January 2026.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com