Agamon Health website screenshot

Agamon Health

Agamon Health is a healthcare AI company that improves imaging patient workflow management through automation across the continuum of care. Its Coordinate platform uses proprietary deep-learning natural language processing (NLP) models, trained on tens of millions of radiology reports, to automatically extract actionable findings from signed radiology reports, determine whether follow-up is needed, and capture modality, body part, and timeframe so radiology teams can automate patient communications, personalize outreach, and track follow-up adherence. Founded in 2018 and headquartered in New York City, Agamon has helped radiology teams increase productivity by up to 30 percent. The company was surfaced as a Seedcamp portfolio company and added to the API Evangelist network; it does not currently publish a public developer API, so this profile captures company identity and domain security rather than API artifacts.

Agamon Health is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Radiology, Medical Imaging, and Artificial Intelligence.

Agamon Health’s developer surface includes support, engineering blog, and 3 more developer resources.

4.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyHealthcareRadiologyMedical ImagingArtificial IntelligenceMachine-LearningNatural Language ProcessingClinical WorkflowHealth Tech

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
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/agamon-health: 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 1

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

Agamon Health Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 3

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: agamon-health
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
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/agamon-health.png
name: Agamon Health
description: Agamon Health is a healthcare AI company that improves imaging patient workflow management through automation
  across the continuum of care. Its Coordinate platform uses proprietary deep-learning natural language processing (NLP) models,
  trained on tens of millions of radiology reports, to automatically extract actionable findings from signed radiology reports,
  determine whether follow-up is needed, and capture modality, body part, and timeframe so radiology teams can automate patient
  communications, personalize outreach, and track follow-up adherence. Founded in 2018 and headquartered in New York City,
  Agamon has helped radiology teams increase productivity by up to 30 percent. The company was surfaced as a Seedcamp portfolio
  company and added to the API Evangelist network; it does not currently publish a public developer API, so this profile captures
  company identity and domain security rather than API artifacts.
url: https://raw.githubusercontent.com/api-evangelist/agamon-health/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- seedcamp
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Healthcare
- Radiology
- Medical Imaging
- Artificial Intelligence
- Machine-Learning
- Natural Language Processing
- Clinical Workflow
- Health Tech
tags_raw:
- Company
- Healthcare
- Radiology
- Medical Imaging
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Clinical Workflow
- Health Tech
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://agamonhealth.com
- type: Support
  url: https://agamonhealth.com/contact
- type: Blog
  url: https://resources.agamonhealth.com/
- type: LinkedIn
  url: https://www.linkedin.com/company/agamonhealth
- type: DomainSecurity
  url: security/agamon-health-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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