# Fitmint

**Canonical:** https://apis.io/providers/fitmint/  
**Website:** https://fitmint.io  
**APIs profiled:** 0

Fitmint is a mobile move-to-earn fitness application from Rabbit Technologies Inc that gamifies everyday walking. Users set daily step goals, level up, open mystery boxes, and earn an in-app currency called $GRIT that can be redeemed for Amazon and other gift cards. The app layers social features such as leaderboards, challenges, and streaks on top of activity tracking to help people build a lifelong habit of walking. Fitmint is a consumer mobile app and does not currently publish a public developer API, SDK, or developer portal; this record is maintained in the API Evangelist network as a company/provider profile and was surfaced as a portfolio company of General Catalyst.

## Kin Score — 6.7 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Health**: 12.5 (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)

- **Fitmint Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Fitness, Health, Wellness, Move-to-Earn, Mobile, Rewards, Gamification, Consumer

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