GenHealth.ai

GenHealth.ai builds generative AI for healthcare operations, powered by a Large Medical Model (LMM) trained on sequences of medical events. Its products automate the administrative back office for providers, health plans, and DME suppliers: fax intake routing, prior authorization and medical-necessity review (UMPA), and revenue cycle management. The developer platform exposes an Inference API that generates simulated patient futures from demographic, ICD diagnosis, CPT/HCPCS procedure, and NDC medication codes, an Embeddings API for semantic search over medical sequences, and a UM/PA API that uploads, extracts, and adjudicates prior-authorization PDFs. GenHealth integrates with any FHIR server implementing the HL7 Da Vinci prior-authorization guides (CRD, DTR, PAS). The platform is SOC 2 and HIPAA compliant with a public trust center and status page.

GenHealth.ai is profiled on the APIs.io network. Tagged areas include Company, Health, Healthcare, Artificial Intelligence, and Generative AI.

GenHealth.ai’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, signup flow, authentication, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub

40.6/100 thin ▬ flat Agent 26/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

0 APIs 1 MCP Servers

CompanyHealthHealthcareArtificial IntelligenceGenerative AIPrior AuthorizationRevenue Cycle ManagementFHIRHL7 Da VinciMedical CodingUtilization Management

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 40.6/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 14.8 / 20

Commercial Clarity 10.0 / 20

Operational Transparency 4.8 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 12 / 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 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/genhealthai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

AgentSkill

AgentSkill

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Conventions

Conventions

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

Compliance

Authentication

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: genhealthai
name: GenHealth.ai
description: 'GenHealth.ai builds generative AI for healthcare operations, powered by a Large Medical Model (LMM) trained
  on sequences of medical events. Its products automate the administrative back office for providers, health plans, and DME
  suppliers: fax intake routing, prior authorization and medical-necessity review (UMPA), and revenue cycle management. The
  developer platform exposes an Inference API that generates simulated patient futures from demographic, ICD diagnosis, CPT/HCPCS
  procedure, and NDC medication codes, an Embeddings API for semantic search over medical sequences, and a UM/PA API that
  uploads, extracts, and adjudicates prior-authorization PDFs. GenHealth integrates with any FHIR server implementing the
  HL7 Da Vinci prior-authorization guides (CRD, DTR, PAS). The platform is SOC 2 and HIPAA compliant with a public trust center
  and status page.'
url: https://raw.githubusercontent.com/api-evangelist/genhealthai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- craft-ventures
x-tier: profiled
x-tier-reason: enrichment-pipeline
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://genhealth.ai/apple-touch-icon.png
tags:
- Company
- Health
- Healthcare
- Artificial Intelligence
- Generative AI
- Prior Authorization
- Revenue Cycle Management
- FHIR
- HL7 Da Vinci
- Medical Coding
- Utilization Management
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://genhealth.ai
- type: DeveloperPortal
  url: https://docs.genhealth.ai
- type: Documentation
  url: https://docs.genhealth.ai
- type: APIReference
  url: https://docs.genhealth.ai/docs/prior-authorization-automation
- type: GettingStarted
  url: https://docs.genhealth.ai/docs/getting-started-1
- type: Support
  url: mailto:support@genhealth.ai
- type: Blog
  url: https://genhealth.ai/blog
- type: GitHubOrganization
  url: https://github.com/genhealth
- type: SignUp
  url: https://umpa.genhealth.ai
- type: TermsOfService
  url: https://genhealth.ai/terms
- type: PrivacyPolicy
  url: https://genhealth.ai/privacy
- type: TrustCenter
  url: https://trust.genhealth.ai
- type: StatusPage
  url: https://status.genhealth.ai
- type: Compliance
  url: https://trust.genhealth.ai
- type: LLMsTxt
  url: llms/genhealthai-llms.txt
- type: MCPServer
  url: mcp/genhealthai-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Authentication
  url: authentication/genhealthai-authentication.yml
- type: Conformance
  url: conformance/genhealthai-conformance.yml
- type: Sandbox
  url: sandbox/genhealthai-sandbox.yml
- type: Lifecycle
  url: lifecycle/genhealthai-lifecycle.yml
- type: ChangeLog
  url: changelog/genhealthai-changelog.yml
- type: Conventions
  url: conventions/genhealthai-conventions.yml
- type: DomainSecurity
  url: security/genhealthai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

GenHealth.ai

Kin Score

MCP Servers 1

genhealthai-mcp.yml

Security Posture 3

Genhealthai Authentication

Genhealthai Domain Security

Genhealthai Trust Center

Resources