Valar Labs

Valar Labs is an AI oncology company building diagnostics that interpret solid tumors from routine pathology slides to predict cancer treatment response. Its proprietary CHAI (Computational Histology Artificial Intelligence) platform analyzes digitized H&E-stained slides — trained on 500,000+ pathologist annotations of tumors and their microenvironment — to help physicians and patients make evidence-based therapy decisions. Products include Vesta Bladder (predicting BCG response in non-muscle-invasive bladder cancer), Vesta Prostate, and Vitara Pancreas ChemoPredict (guiding first-line chemotherapy selection in advanced pancreatic cancer). Founded at the intersection of AI and oncology and backed by a16z and DCVC, Valar Labs delivers results within days without requiring additional tissue. The company operates a physician ordering portal at portal.valarlabs.com and publishes no public developer API, SDK, or machine-readable API specification as of this profile.

Valar Labs is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Oncology, Cancer, and Diagnostics.

Valar Labs’ developer surface includes developer portal, engineering blog, support, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

13.9/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyHealthcareOncologyCancerDiagnosticsArtificial IntelligenceMachine LearningPathologyDigital PathologyPrecision MedicineHIPAA

Kin Score

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

Composite quality — 13.9/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 3.0 / 20

Commercial Clarity 2.1 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 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/valar-labs: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

About

Blog

Twitter

LinkedIn

Source (apis.yml)

aid: valar-labs
name: Valar Labs
description: Valar Labs is an AI oncology company building diagnostics that interpret solid tumors from routine pathology
  slides to predict cancer treatment response. Its proprietary CHAI (Computational Histology Artificial Intelligence) platform
  analyzes digitized H&E-stained slides — trained on 500,000+ pathologist annotations of tumors and their microenvironment
  — to help physicians and patients make evidence-based therapy decisions. Products include Vesta Bladder (predicting BCG
  response in non-muscle-invasive bladder cancer), Vesta Prostate, and Vitara Pancreas ChemoPredict (guiding first-line chemotherapy
  selection in advanced pancreatic cancer). Founded at the intersection of AI and oncology and backed by a16z and DCVC, Valar
  Labs delivers results within days without requiring additional tissue. The company operates a physician ordering portal
  at portal.valarlabs.com and publishes no public developer API, SDK, or machine-readable API specification as of this profile.
url: https://raw.githubusercontent.com/api-evangelist/valar-labs/refs/heads/main/apis.yml
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://uploads-ssl.webflow.com/66154efc5c03aac7adbc3095/661560c9df2529f6dc74e788_opengraph.webp
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Healthcare
- Oncology
- Cancer
- Diagnostics
- Artificial Intelligence
- Machine Learning
- Pathology
- Digital Pathology
- Precision Medicine
- HIPAA
apis: []
common:
- type: DomainSecurity
  url: security/valar-labs-domain-security.yml
- type: Website
  url: https://www.valarlabs.com
- type: Portal
  url: https://portal.valarlabs.com
- type: About
  url: https://www.valarlabs.com/company
- type: Blog
  url: https://www.valarlabs.com/news
- type: Support
  url: https://www.valarlabs.com/contact
- type: PrivacyPolicy
  url: https://www.valarlabs.com/privacy
- type: GitHubOrganization
  url: https://github.com/valarlabs
- type: Twitter
  url: https://twitter.com/valarlabs
- type: LinkedIn
  url: https://www.linkedin.com/company/valarlabs/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 2
  pass: local-v1