AI model

AI model株式会社 (AI model Inc.) is a Tokyo generative-AI company, founded in August 2020 and headquartered in the Sumitomo Fudosan Toranomon Tower, Minato-ku, that generates and licenses photorealistic AI models and AI talent for apparel, e-commerce and advertising imagery. Its service replaces conventional model photography for product shots (ささげ), key visuals, lookbooks, television commercials, outdoor advertising and in-store POP, and it co-developed the AI character MirAI with Canon Marketing Japan. Its November 2024 Series A was backed by SBI Investment, NTT Docomo Ventures, the Canon Marketing Japan MIRAI Fund with Global Brain, Mitsukoshi Isetan Innovations, Sazaby League and Mitsubishi UFJ Capital; EquityZen reports a pre-Series B round with SBI Investment and Canon MJ CVC as of January 2026. AI model sells a managed creative service, not software: it publishes no developer portal, no API reference, no pricing page, no SDKs and no terms of service, and api., docs., developer., developers. and app. under ai-model.jp do not resolve. The one public, anonymous, machine-readable surface on its estate is the WordPress REST API behind www.ai-model.jp, which serves its published AI model roster (8 records), company news (39), pages, the media library and site-wide search - captured here as three derived OpenAPI documents.

AI model publishes 1 API on the APIs.io network: Website (WordPress REST). Tagged areas include Artificial Intelligence, Generative AI, Japan, E-Commerce, and Fashion.

AI model’s developer surface includes engineering blog, support, authentication, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub
20.7/100 emerging ▬ flat Agent 22/100 agent aware Front door AI 5/6 prominent Full breakdown ↓
scored 2026-10-04 · rubric v0.23.0
1 published contract
Artificial IntelligenceGenerative AIJapanE-CommerceFashionApparelAdvertisingMarketingContentDigital HumanMediaWordPress

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-04 · rubric v0.23.0
Composite quality — 20.7/100 · emerging
Contract Quality 5.1 / 21
Developer Ergonomics 5.2 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.0 / 11
Contract Governance 1.9 / 10
Discoverability 5.5 / 9
Regulatory Posture 2.3 / 15
Agent readiness — 22/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 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
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
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/aimodel: 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 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

AI model Website (WordPress REST)

The public WordPress REST API (wp-json) of the AI model website at www.ai-model.jp: the route index of the site's content management system, catalogued as one site surface rathe...

Pricing Plans 1

Published pricing tiers and plan structures.

Aimodel Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Aimodel Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Aimodel Authentication

0 schemes

SECURITY

Aimodel Domain Security

TLSv1.3

SECURITY

Resources

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate
X-MCPServerCandidate
 LLMsTxt
LLMsTxt
 AgentSkill
AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 DataModel
DataModel
 Lifecycle
Lifecycle
 Conformance
Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

Packages
Packages

Access & Security 3

Authentication, authorization, and security posture

InformationSecurityPolicy
InformationSecurityPolicy
 Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support
Support
 RateLimits
RateLimits

Commercial 1

Pricing, plans, and the legal terms of use

Plans
Plans

Company 3

The organization behind the API

Website
Website
 Blog
Blog
 BlogRSS
BlogRSS

Other 2

Properties that don't map to a standard resource type

AIPolicy
AIPolicy
 SecondaryMarket
SecondaryMarket

Source (apis.yml)

apis.yml Raw ↑ 
aid: aimodel
name: AI model
description: 'AI model株式会社 (AI model Inc.) is a Tokyo generative-AI company, founded in August 2020 and headquartered in the
  Sumitomo Fudosan Toranomon Tower, Minato-ku, that generates and licenses photorealistic AI models and AI talent for apparel,
  e-commerce and advertising imagery. Its service replaces conventional model photography for product shots (ささげ), key visuals,
  lookbooks, television commercials, outdoor advertising and in-store POP, and it co-developed the AI character MirAI with
  Canon Marketing Japan. Its November 2024 Series A was backed by SBI Investment, NTT Docomo Ventures, the Canon Marketing
  Japan MIRAI Fund with Global Brain, Mitsukoshi Isetan Innovations, Sazaby League and Mitsubishi UFJ Capital; EquityZen reports
  a pre-Series B round with SBI Investment and Canon MJ CVC as of January 2026. AI model sells a managed creative service,
  not software: it publishes no developer portal, no API reference, no pricing page, no SDKs and no terms of service, and
  api., docs., developer., developers. and app. under ai-model.jp do not resolve. The one public, anonymous, machine-readable
  surface on its estate is the WordPress REST API behind www.ai-model.jp, which serves its published AI model roster (8 records),
  company news (39), pages, the media library and site-wide search - captured here as three derived OpenAPI documents.'
url: https://raw.githubusercontent.com/api-evangelist/aimodel/refs/heads/main/apis.yml
image: https://www.ai-model.jp/wp/wp-content/uploads/2022/03/MV.jpg
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-09-14'
modified: '2026-09-14'
position: Producing
tags:
- Artificial Intelligence
- Generative AI
- Japan
- E-Commerce
- Fashion
- Apparel
- Advertising
- Marketing
- Content
- Digital Human
- Media
- WordPress
tags_raw:
- Artificial Intelligence
- Generative AI
- Japan
- E-commerce
- Fashion
- Apparel
- Advertising
- Marketing
- Content
- Digital Human
- Media
- WordPress
apis:
- aid: aimodel:ai-model-jp-website-wordpress-rest
  name: AI model Website (WordPress REST)
  description: 'The public WordPress REST API (wp-json) of the AI model website at www.ai-model.jp: the route index of the
    site''s content management system, catalogued as one site surface rather than as separate APIs.'
  baseURL: https://www.ai-model.jp/wp-json
  tags:
  - WordPress
  x-surface: platform-generated
  properties:
  - type: Documentation
    url: https://www.ai-model.jp/wp-json
  x-platform: wordpress
  x-platform-surface: rest
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.ai-model.jp/
- type: Blog
  url: https://www.ai-model.jp/news/
- type: BlogRSS
  url: https://www.ai-model.jp/feed/
- type: Support
  url: https://www.ai-model.jp/contact/
- type: AIPolicy
  url: https://www.ai-model.jp/wp/wp-content/themes/aimodel/pdfs/ai-model_policy.pdf
- type: InformationSecurityPolicy
  url: https://www.ai-model.jp/wp/wp-content/themes/aimodel/pdfs/security_policy.pdf
- type: SecondaryMarket
  url: https://equityzen.com/company/aimodel/
- type: Authentication
  url: authentication/aimodel-authentication.yml
- type: Conventions
  url: conventions/aimodel-conventions.yml
- type: ErrorCatalog
  url: errors/aimodel-problem-types.yml
- type: DataModel
  url: data-model/aimodel-data-model.yml
- type: Lifecycle
  url: lifecycle/aimodel-lifecycle.yml
- type: Conformance
  url: conformance/aimodel-conformance.yml
- type: DomainSecurity
  url: security/aimodel-domain-security.yml
- type: RateLimits
  url: rate-limits/aimodel-rate-limits.yml
- type: Plans
  url: plans/aimodel-plans-pricing.yml
- type: Packages
  url: packages/aimodel-packages.yml
- type: X-MCPServerCandidate
  url: mcp/aimodel-mcp.yml
- type: LLMsTxt
  url: llms/aimodel-llms.txt
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-09-14'
  status: enriched
  artifacts_added: 23
  pass: local-v3

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