Virgo

Virgo builds AI foundation models for gastrointestinal (GI) endoscopy, targeting gut-mediated diseases such as inflammatory bowel disease and colorectal cancer. Its flagship model, EndoDINO, was trained on the largest known endoscopy dataset (130,037 videos / ~3.5 billion frames), and EndoML is the GI-specific tooling environment for building clinical and research workflows on top of it. Virgo Cloud provides video capture and management for endoscopy procedures, while Virgo Trials accelerates clinical trials with automatic data capture, endoscopic scoring, placebo-response prediction, subgroup identification, and AI biomarker discovery. The company was surfaced as a Techstars portfolio company and added to the API Evangelist network.

Virgo publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Healthcare, and Life Sciences.

Virgo’s developer surface includes engineering blog, product news, support, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub

21.1/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

1 APIs

CompanyArtificial IntelligenceMachine LearningHealthcareLife SciencesEndoscopyGastroenterologyClinical TrialsMedical ImagingFoundation Models

Kin Score

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

Composite quality — 21.1/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 6.8 / 20

Operational Transparency 2.1 / 13

Governance 0.0 / 12

Discoverability 9.3 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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

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/virgo: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Blog

News

Careers

Other 1

Properties that don't map to a standard resource type

WhitePaper

WhitePaper

Source (apis.yml)

aid: virgo
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/virgo.png
name: Virgo
description: Virgo builds AI foundation models for gastrointestinal (GI) endoscopy, targeting gut-mediated diseases such as
  inflammatory bowel disease and colorectal cancer. Its flagship model, EndoDINO, was trained on the largest known endoscopy
  dataset (130,037 videos / ~3.5 billion frames), and EndoML is the GI-specific tooling environment for building clinical
  and research workflows on top of it. Virgo Cloud provides video capture and management for endoscopy procedures, while Virgo
  Trials accelerates clinical trials with automatic data capture, endoscopic scoring, placebo-response prediction, subgroup
  identification, and AI biomarker discovery. The company was surfaced as a Techstars portfolio company and added to the API
  Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/virgo/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
x-legal-name: Virgo Surgical Video Solutions, Inc.
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Healthcare
- Life Sciences
- Endoscopy
- Gastroenterology
- Clinical Trials
- Medical Imaging
- Foundation Models
apis:
- name: Virgo Cloud GraphQL API
  description: Authenticated GraphQL API powering the Virgo Cloud endoscopy video capture and management portal. The endpoint
    is live but access requires an authenticated session (returns 401/403 unauthenticated); no public GraphQL schema, introspection,
    or developer documentation is published.
  humanURL: https://cloud.virgosvs.com/
  baseURL: https://cloud.virgosvs.com/graphql/
  properties:
  - type: GraphQL
    url: https://cloud.virgosvs.com/graphql/
  - type: Login
    url: https://cloud.virgosvs.com/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://virgosvs.com/
- type: Blog
  url: https://virgosvs.com/blog/
- type: News
  url: https://virgosvs.com/news/
- type: Careers
  url: https://virgosvs.com/careers/
- type: Login
  url: https://cloud.virgosvs.com/
- type: TermsOfService
  url: https://virgosvs.com/tos/
- type: PrivacyPolicy
  url: https://virgosvs.com/tos/#privacy
- type: Support
  url: mailto:info@virgosvs.com
- type: WhitePaper
  name: 'EndoDINO: A Foundation Model for GI Endoscopy (arXiv)'
  url: https://arxiv.org/html/2501.05488v1
- type: StatusPage
  url: https://status.virgosvs.com/
- type: Lifecycle
  url: lifecycle/virgo-lifecycle.yml
- type: DomainSecurity
  url: security/virgo-domain-security.yml
- type: LLMsTxt
  url: llms/virgo-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 3
  pass: local-v1