Lica

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.

Lica is profiled on the APIs.io network. Tagged areas include Company, B2B, Artificial Intelligence, Machine-Learning, and Graphic Design.

Lica’s developer surface includes engineering blog, signup flow, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub
13.4/100 emerging ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
AccessApproval
0 APIs 1 MCP Servers
CompanyB2BArtificial IntelligenceMachine-LearningGraphic DesignGenerative AIBenchmarksDatasetsMCPResearch

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 13.4/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 0.5 / 20
Access Clarity 6.8 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 10
Agent readiness — 4/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/lica: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Lica MCP Server

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Lica Domain Security

TLSv1.3 · DNSSEC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp
SignUp

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 LLMsTxt
LLMsTxt

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 SourceCode
SourceCode
 SourceCode
SourceCode
 SourceCode
SourceCode

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

IssueTracker
IssueTracker

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

Research
Research

Source (apis.yml)

apis.yml Raw ↑ 
aid: lica
deliveryModel:
  model: unknown
  open_source: unknown
  commercial: true
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - pricing
  - repository-unlicensed
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: medium
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lica.png
name: Lica
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/lica/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
x-tier: profile
x-tier-reason: enriched-no-public-api
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- B2B
- Artificial Intelligence
- Machine-Learning
- Graphic Design
- Generative AI
- Benchmarks
- Datasets
- MCP
- Research
tags_raw:
- Company
- B2B
- Artificial Intelligence
- Machine Learning
- Graphic Design
- Generative AI
- Benchmarks
- Datasets
- Model Context Protocol
- Research
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: IssueTracker
  url: https://github.com/lica-world/DesignMCP/issues
- type: Website
  url: https://www.lica.world/
- type: Blog
  url: https://www.lica.world/blog
- type: GitHubOrganization
  url: https://github.com/lica-world
- type: SignUp
  url: https://www.lica.world/early-access
- type: TermsOfService
  url: https://www.lica.world/tc-agency
- type: PrivacyPolicy
  url: https://www.lica.world/privacy-policy
- type: MCPServer
  url: mcp/lica-mcp.yml
- type: SourceCode
  name: DesignMCP
  url: https://github.com/lica-world/DesignMCP
- type: SourceCode
  name: GDB — Graphic Design Benchmark
  url: https://github.com/lica-world/GDB
- type: SourceCode
  name: lica-dataset
  url: https://github.com/lica-world/lica-dataset
- type: Research
  url: https://www.lica.world/research
- type: LLMsTxt
  url: llms/lica-llms.txt
- type: DomainSecurity
  url: security/lica-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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