# Cambridge Cancer Genomics

**Canonical:** https://apis.io/providers/cambridge-cancer-genomics/  
**Website:** https://us.dantelabs.com  
**APIs profiled:** 0

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).

## Kin Score — 2.5 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 2.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Health**: 0.0 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/cambridge-cancer-genomics/). Scores are computed from the provider's own public artifacts under a published rubric.