Cambridge Cancer Genomics

Cambridge Cancer Genomics (CCG.ai) was a Cambridge, UK precision-oncology company founded in 2015 out of the University of Cambridge, building OncOS, an AI/machine-learning platform that analyzed genomic data from liquid biopsies (circulating tumor DNA) to help oncologists track tumor evolution and personalize cancer treatment. The company was a Y Combinator alumnus in the digital-biology sector and was acquired by Dante Labs in June 2021, after which OncOS was folded into Dante Labs' genomics platform. As of this enrichment pass the CCG.ai domain redirects to a domain-sale marketplace and the company operates no independent public developer or API surface; its historical first-party code lives only in the ccgenomics GitHub organization (research repositories, not published API SDKs).

Cambridge Cancer Genomics is profiled on the APIs.io network. Tagged areas include Company, Digital Biology, Precision Oncology, Genomics, and Machine Learning.

🌐 Visit website 📡 Source on GitHub

6.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyDigital BiologyPrecision OncologyGenomicsMachine LearningHealthcareCancer ResearchBioinformatics

Kin Score

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

Composite quality — 6.3/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Commercial Clarity 0.0 / 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

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Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: cambridge-cancer-genomics
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/cambridge-cancer-genomics.png
name: Cambridge Cancer Genomics
description: Cambridge Cancer Genomics (CCG.ai) was a Cambridge, UK precision-oncology company founded in 2015 out of the
  University of Cambridge, building OncOS, an AI/machine-learning platform that analyzed genomic data from liquid biopsies
  (circulating tumor DNA) to help oncologists track tumor evolution and personalize cancer treatment. The company was a Y
  Combinator alumnus in the digital-biology sector and was acquired by Dante Labs in June 2021, after which OncOS was folded
  into Dante Labs' genomics platform. As of this enrichment pass the CCG.ai domain redirects to a domain-sale marketplace
  and the company operates no independent public developer or API surface; its historical first-party code lives only in the
  ccgenomics GitHub organization (research repositories, not published API SDKs).
url: https://raw.githubusercontent.com/api-evangelist/cambridge-cancer-genomics/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- amplify-partners
x-tier: stub
x-tier-reason: portfolio-lead
x-status: acquired
x-acquired-by: dante-labs
x-acquired-date: 2021-06
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Digital Biology
- Precision Oncology
- Genomics
- Machine Learning
- Healthcare
- Cancer Research
- Bioinformatics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://us.dantelabs.com
- type: GitHubOrganization
  url: https://github.com/ccgenomics
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence