Anumana website screenshot

Anumana

Anumana, Inc. is a cardiac AI health-technology company founded as a joint venture between Mayo Clinic and nference, commercializing ECG-AI algorithms that read standard 10-second, 12-lead electrocardiograms to surface disease signals that are not visible to the human eye. Its portfolio includes the FDA-cleared ECG-AI LEF algorithm for detecting low ejection fraction in patients at risk of heart failure (trained on roughly 2.9 million ECG-echo pairs across 676,000+ patients), the first and only FDA-cleared ECG-AI algorithm for cardiac amyloidosis, and an FDA-cleared algorithm for early detection of pulmonary hypertension, plus a pipeline that includes hyperkalemia. Anumana is delivered as a regulated medical device that runs inside the customer's own ECG management system and EHR environment, ingesting digital waveform files and returning results into clinical workflow rather than being consumed as a public developer API.

Anumana is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Artificial Intelligence, Machine-Learning, and Medical Devices.

Anumana’s developer surface includes documentation, support, engineering blog, FAQ, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub
26.9/100 thin ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-14 · rubric v0.22.0
0 APIs
CompanyHealthcareArtificial IntelligenceMachine-LearningMedical DevicesCardiologyDiagnosticsClinical Decision SupportECGDigital Health

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-14 · rubric v0.22.0
Composite quality — 26.9/100 · thin
Contract Quality 0.0 / 21
Developer Ergonomics 2.8 / 17
Access Clarity 8.5 / 17
Operational Transparency 1.2 / 11
Contract Governance 1.9 / 10
Discoverability 4.9 / 9
Regulatory Posture 7.1 / 15
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 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
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/anumana: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 3

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

Anumana Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Anumana Vulnerability Disclosure

contact published

SECURITY

Anumana Trust Center

trust center published

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login
Login
 Demo
Demo

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance

Access & Security 5

Authentication, authorization, and security posture

Security
Security
 VulnerabilityDisclosure
VulnerabilityDisclosure
 TrustCenter
TrustCenter
 DomainSecurity
DomainSecurity
 Compliance
Compliance

Operate 2

Status, limits, changes, and where to get help

Support
Support
 FAQ
FAQ

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 5

The organization behind the API

Website
Website
 Blog
Blog
 BlogRSS
BlogRSS
 Careers
Careers
 LinkedIn
LinkedIn

Other 4

Properties that don't map to a standard resource type

Publications
Publications
 Events
Events
 Patents
Patents
 Profile
Profile

Source (apis.yml)

apis.yml Raw ↑ 
aid: anumana
name: Anumana
description: Anumana, Inc. is a cardiac AI health-technology company founded as a joint venture between Mayo Clinic and nference,
  commercializing ECG-AI algorithms that read standard 10-second, 12-lead electrocardiograms to surface disease signals that
  are not visible to the human eye. Its portfolio includes the FDA-cleared ECG-AI LEF algorithm for detecting low ejection
  fraction in patients at risk of heart failure (trained on roughly 2.9 million ECG-echo pairs across 676,000+ patients),
  the first and only FDA-cleared ECG-AI algorithm for cardiac amyloidosis, and an FDA-cleared algorithm for early detection
  of pulmonary hypertension, plus a pipeline that includes hyperkalemia. Anumana is delivered as a regulated medical device
  that runs inside the customer's own ECG management system and EHR environment, ingesting digital waveform files and returning
  results into clinical workflow rather than being consumed as a public developer API.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-09-02'
  method: derived
image: https://anumana.ai/wp-content/uploads/2025/09/favicon-ai.png
url: https://raw.githubusercontent.com/api-evangelist/anumana/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-08-02'
modified: '2026-08-02'
tags:
- Company
- Healthcare
- Artificial Intelligence
- Machine-Learning
- Medical Devices
- Cardiology
- Diagnostics
- Clinical Decision Support
- ECG
- Digital Health
tags_raw:
- Company
- Health Care
- Artificial Intelligence
- Machine Learning
- Medical Devices
- Cardiology
- Diagnostics
- Clinical Decision Support
- ECG
- Digital Health
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://anumana.ai/
- type: Documentation
  name: ECG-AI LEF Instructions for Use
  url: https://anumana.ai/ecg-ai-lef-ifu/
- type: Support
  url: https://anumana.ai/support/
- type: Blog
  url: https://anumana.ai/news/
- type: BlogRSS
  url: https://anumana.ai/feed/
- type: Login
  name: Anumana platform sign in
  url: https://api.anumana.ai/auth/signin/
- type: TermsOfService
  url: https://anumana.ai/terms-of-use/
- type: PrivacyPolicy
  url: https://anumana.ai/privacy-policy/
- type: Security
  name: Coordinated vulnerability disclosure policy
  url: https://anumana.ai/vulnerability-disclosure/
- type: VulnerabilityDisclosure
  url: security/anumana-vulnerability-disclosure.yml
- type: TrustCenter
  url: security/anumana-trust-center.yml
- type: DomainSecurity
  url: security/anumana-domain-security.yml
- type: Conformance
  url: conformance/anumana-conformance.yml
- type: Compliance
  name: FDA 510(k) clearances (six, verified against openFDA)
  url: conformance/anumana-conformance.yml
- type: LLMsTxt
  url: llms/anumana-llms.txt
- type: FAQ
  url: https://anumana.ai/faqs/
- type: Careers
  url: https://anumana.ai/careers/
- type: Publications
  url: https://anumana.ai/publications
- type: Events
  url: https://anumana.ai/events/
- type: Patents
  url: https://anumana.ai/patents/
- type: Demo
  url: https://anumana.ai/request-a-demo/
- type: LinkedIn
  url: https://www.linkedin.com/company/anumana-inc
- type: Profile
  name: Forge Global secondary-market listing
  url: https://forgeglobal.com/anumana_stock/
x-enrichment:
  date: '2026-08-02'
  status: enriched
  artifacts_added: 8
  pass: local-v1

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