# Friendster

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

Friendster is a mobile-first social network for real-life friends, operating at friendster.com with a native iOS app and a web experience. The service positions itself around privacy and intentional design — no ads, no algorithms, no spam, and an explicit promise never to sell user data — and centers on connecting people with the friends they actually know in real life. It was surfaced as a portfolio company of Battery Ventures and added to the API Evangelist network as a stub. As of this enrichment pass Friendster publishes a consumer marketing site and a native iOS app, but exposes no public developer program, API, OpenAPI, or documentation surface — so there are no API artifacts to harvest, only company identity and live domain-security posture.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 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).

## Security (1)

- **Friendster Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Social Network, Social-Media, Consumer, Mobile, Privacy

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