# Blindmate

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

Blindmate is a friend-based dating app that inverts the swipe model: instead of writing their own profile, a single person's friends answer questions about them, and matches are made through character-first "Blindchats" that surface compatibility before appearance. Founded in Germany and available on iOS and Android in German, English, and Spanish, the app reports over one million users and positions itself around trust, reduced harassment, data privacy, and green-energy infrastructure. Blindmate is a Speedinvest portfolio company; it is a consumer mobile product and publishes no public developer API, so this profile captures its web, security, and policy surface rather than API artifacts.

## Kin Score — 14.6 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 14.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

## 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 (2)

- **Blindmate Domain Security** — TLSv1.3
- **Blindmate Vulnerability Disclosure** — contact published

## Tags

Company, Dating, Social, Matchmaking, Mobile Apps, Consumer, Privacy

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