# MojiLala

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

MojiLala was a marketplace for stickers, GIFs, and emoji that offered a content API and mobile SDKs so developers could embed searchable sticker and animated-sticker packs into messaging and social apps. Backed by 500 Global, the team subsequently pivoted to LEO AR (leoapp.com), a consumer augmented reality application for creating, transforming, and sharing AR experiences. As of this profiling the original MojiLala developer surface at mojilala.com is offline (returns HTTP 403/530) and the active property, leoapp.com, is a single-page marketing/app site that publishes no public developer API, documentation, or well-known discovery endpoints. This profile is retained as a network lead; no live API artifacts were discoverable.

## 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)

- **Mojilala Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Stickers, GIFs, Emoji, Content, Augmented Reality, Mobile, Media

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