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 11 more developer resources.

16.5/100 emerging ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessApproval
0 APIs 1 MCP Servers
CompanyB2BArtificial IntelligenceMachine LearningGraphic DesignGenerative AIBenchmarksDatasetsModel Context ProtocolResearch

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 16.5/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 12/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

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

lica-mcp.yml

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

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: lica
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: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- 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: 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