# Lapse

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

Lapse is a London-founded consumer photo company (Lapse Ltd) whose iOS app turns an iPhone into a disposable camera - a one-tap Lock Screen shutter, a film "developing" delay, and a friends-only photo journal built on a "Friends not followers" thesis of no ads, no data sales, and no public follower counts. The app is invite and friends-gated Early Access, free to use, iOS only, and screens uploads with AI moderation; contacts are hashed and encrypted on device. Lapse is backed by Greylock, GV and Speedinvest. It publishes no public API, developer portal, SDKs or documentation as of the July 2026 enrichment pass, so this profile captures company identity, the published policy and support surface, and probed security posture rather than an API surface.

## Kin Score — 11.4 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 11.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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)

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

## Tags

Company, Consumer, Photography, Photo Sharing, Social, Mobile, iOS, Camera

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