PathAI

PathAI is a Boston-based digital pathology company that builds AI-powered technology to improve the accuracy and efficiency of cancer and disease diagnosis. Its flagship AISight Image Management System is a cloud-native, open enterprise platform that laboratories and research centers use to power digital pathology workflows and run AI applications against whole-slide images. PathAI also develops proprietary machine-learning algorithms for biomarker analysis and biopharma research, backed by a network of 450+ pathologists who have contributed tens of millions of image annotations. For developers, PathAI publishes AISight Link, an open API framework that lets third-party algorithm developers integrate their solutions into the AISight workflow (AI Impressions, Fields of Interest, quantitative result reporting, and case-level tools). AISight Link is a partner-integration API without a public self-serve developer portal; access is arranged through PathAI (digitaldx@pathai.com).

PathAI is profiled on the APIs.io network. Tagged areas include Company, Digital Pathology, Artificial Intelligence, Machine Learning, and Healthcare.

PathAI’s developer surface includes engineering blog, support, YouTube channel, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub

20.3/100 emerging ▬ flat Agent 7/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyDigital PathologyArtificial IntelligenceMachine LearningHealthcareDiagnosticsOncologyMedical ImagingLife SciencesBiopharma

Kin Score

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

Composite quality — 20.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 6.8 / 20

Operational Transparency 1.4 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 7/100 · 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 4 / 4

Consent & Bot Identity 3 / 3

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Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Access & Security 4

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

SecurityTxt

SecurityTxt

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 5

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Twitter

Twitter

Source (apis.yml)

aid: path-ai
name: PathAI
description: PathAI is a Boston-based digital pathology company that builds AI-powered technology to improve the accuracy
  and efficiency of cancer and disease diagnosis. Its flagship AISight Image Management System is a cloud-native, open enterprise
  platform that laboratories and research centers use to power digital pathology workflows and run AI applications against
  whole-slide images. PathAI also develops proprietary machine-learning algorithms for biomarker analysis and biopharma research,
  backed by a network of 450+ pathologists who have contributed tens of millions of image annotations. For developers, PathAI
  publishes AISight Link, an open API framework that lets third-party algorithm developers integrate their solutions into
  the AISight workflow (AI Impressions, Fields of Interest, quantitative result reporting, and case-level tools). AISight
  Link is a partner-integration API without a public self-serve developer portal; access is arranged through PathAI (digitaldx@pathai.com).
url: https://raw.githubusercontent.com/api-evangelist/path-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
x-tier: stub
x-tier-reason: portfolio-lead
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://cdn.pathai.com/static/img/logo.svg
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Digital Pathology
- Artificial Intelligence
- Machine Learning
- Healthcare
- Diagnostics
- Oncology
- Medical Imaging
- Life Sciences
- Biopharma
apis: []
common:
- type: VulnerabilityDisclosure
  url: security/path-ai-vulnerability-disclosure.yml
- type: Security
  url: https://www.pathai.com/vdp
- type: DomainSecurity
  url: security/path-ai-domain-security.yml
- type: SecurityTxt
  url: well-known/path-ai-security.txt
- type: WellKnown
  url: well-known/path-ai-well-known.yml
- type: Website
  url: https://www.pathai.com/
- type: About
  url: https://www.pathai.com/about-us
- type: Blog
  url: https://www.pathai.com/blog
- type: Support
  url: https://www.pathai.com/contact
- type: PrivacyPolicy
  url: https://www.pathai.com/policies-and-notices
- type: TermsOfService
  url: https://www.pathai.com/terms-of-use
- type: Login
  url: https://slides.pathai.com/authentication
- type: LinkedIn
  url: https://www.linkedin.com/company/pathai
- type: Twitter
  url: https://twitter.com/path_ai
- type: YouTube
  url: https://www.youtube.com/@Path_AI
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io