# Generation Lab

**Canonical:** https://apis.io/providers/generation-lab/  
**Website:** https://www.generationlab.com/  
**APIs profiled:** 0

Generation Lab is a longevity science company founded in 2023 by Alina Su, UC Berkeley bioengineer Dr. Irina Conboy, and Michael Suswal, and backed by an $11M seed round led by Accel (Accel's first longevity bet). Its flagship SystemAge test measures biological age across roughly 460 biomarkers spanning 19 to 21 physiological systems and organs from an at-home, needle-free blood collection, returning a personalized aging report and science-backed action plan that ranges from lifestyle and supplement guidance to clinical interventions. The test is distributed through 300+ clinic partners across 18 countries and via a patient/provider portal. Generation Lab publishes no public developer API, OpenAPI, SDKs, or developer portal at this time; this profile captures its public web, product, and legal surfaces.

## Kin Score — 9.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 9.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

Regulatory layer — **Health**: 10.0 (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, Longevity, Health, Biotech, Diagnostics, Aging, Epigenetics, Health Tech

---

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