# Planet Fitness

**Canonical:** https://apis.io/providers/planet-fitness/  
**Website:** https://www.planetfitness.com/  
**APIs profiled:** 0

The largest fitness franchise in the United States by number of members and locations, operating over 2,500 clubs in the US, Canada, Panama, Mexico, and Australia. Planet Fitness is known for its affordable membership model (Classic and Black Card tiers), the non-intimidating Judgement Free Zone philosophy targeting casual and first-time gym-goers, and the PF App for workout content, club check-in, and member benefits. Planet Fitness does not publish a public developer API, integration portal, or third-party platform program; integrations with workout content providers and biometric/check-in vendors are handled via private commercial partnerships, not public APIs.

## Kin Score — 3.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 3.3).

| 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**: 7.5 (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).

## Security (1)

- **Planet Fitness Domain Security** — TLSv1.3 · DMARC

## Tags

Fitness, Wellness, Health, Franchise, Consumer, Subscription, Mobile App

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