# Thrive Earlier Detection

**Canonical:** https://apis.io/providers/thrive-earlier-detection/  
**APIs profiled:** 0

Thrive Earlier Detection Corp. was a healthcare/biotech company commercializing CancerSEEK, a machine-learning-driven liquid biopsy blood test to detect multiple cancer types from a single blood draw. Spun out of Johns Hopkins technology and backed by Lux Capital, Bain Capital Life Sciences, Casdin, Google Ventures and others, it raised large early rounds before being acquired by Exact Sciences in 2020/2021 for roughly $2.15 billion and folded into Exact Sciences. This profile was surfaced as a Lux Capital portfolio company and added to the API Evangelist network as an enrichment lead. It is a clinical-diagnostics company with no public developer API surface; its former web presence (thrivedetect.com) is decommissioned.

## Kin Score — 2.2 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 2.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| 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, Biotech, Healthcare, Diagnostics, Cancer Screening, Liquid Biopsy, Life Sciences, Acquired

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