# Affinity Labs

**Canonical:** https://apis.io/providers/affinity-labs/  
**APIs profiled:** 0

Affinity Labs was a consumer social-networking company founded in 2006 by Christopher Michel (founder of Military.com) that built online communities for niche professional groups including firefighters (FireLink), police officers (PoliceLink), nurses (NursingLink) and the Armed Forces (HMForces.co.uk). Backed by Trinity Ventures and the Mayfield Fund, it grew past one million registered members before being merged into Monster Worldwide (Monster.com) in a $61 million transaction in January 2008. Its European operations shut down in 2012 and its domains and content were amalgamated into the Monster brand. The company is defunct and publishes no developer/API surface; this profile is retained as a historical portfolio-lead record. Not to be confused with Affinity (affinity.co), the unrelated relationship-intelligence CRM.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| 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 |

## 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, Consumer, Social Networking, Online Communities, Defunct, Acquired

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