# Lica

**Canonical:** https://apis.io/providers/lica/  
**Website:** https://www.lica.world/  
**APIs profiled:** 0

Lica is an AI research company building a substrate to train and evaluate AI models to be capable design partners across expressions of taste and consumption. Its research spans spatial reasoning and composition, layout generation and editing, vector-graphics (SVG) understanding, personalization and brand identity, and animation generation. Lica publishes the LICA dataset of layered graphic-design compositions and GDB (Graphic Design Benchmark), a real-world benchmark that scores frontier models on designer workflows across layout, typography, infographics, template semantics and animation. The company is backed by Accel, South Park Commons and Village Global. As of July 2026 Lica ships no public API, developer portal or API reference; product access is an email waitlist and its public developer surface is the lica-world GitHub organization, including the first-party DesignMCP MCP server.

## Kin Score — 13.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 13.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

## Agent readiness — 4.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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

Requires approval — onboarding: approval, pricing: unknown, trial: no (confidence: medium).

## MCP servers (1)

- **Lica MCP Server**

## Security (1)

- **Lica Domain Security** — TLSv1.3 · DNSSEC

## Tags

Company, B2B, Artificial Intelligence, Machine-Learning, Graphic Design, Generative AI, Benchmarks, Datasets, MCP, Research

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