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

2.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Digital Biology Precision Oncology Genomics Machine-Learning Healthcare Cancer Research Bioinformatics

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 2.5/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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/cambridge-cancer-genomics: 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 →

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
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/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: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Digital Biology
- Precision Oncology
- Genomics
- Machine-Learning
- Healthcare
- Cancer Research
- Bioinformatics
tags_raw:
- 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

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