FASHN AI

FASHN AI is an AI-first company specializing in human-centric generative image models tailored for fashion applications. The public API offers an asynchronous prediction workflow against a catalog of models including Try-On Max, Product to Model, Face to Model, Model Create, Model Swap, Edit, Reframe, Image to Video, and Background Remove.

FASHN AI publishes 1 API on the APIs.io network: Predictions API. Tagged areas include Artificial Intelligence, Clothing, Fashion, and Virtual Try-On.

FASHN AI’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

31.9/100 thin ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFreemiumSelf serve⚡ Free to try

1 APIs

Artificial IntelligenceClothingFashion Virtual Try-On

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 31.9/100 · thin

Contract Quality 12.8 / 23

Developer Ergonomics 6.4 / 18

Access Clarity 2.8 / 18

Operational Transparency 1.2 / 12

Contract Governance 0.0 / 11

Discoverability 6.0 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

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/fashn: 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.

FASHN AI Predictions API

The Predictions API from FASHN AI — 2 operation(s) for predictions.

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

FASHN AI Predictions API

OPEN COLLECTION

FASHN AI API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Fashn Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Fashn Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Fashn Finops

FINOPS

Security Posture 2

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

Fashn Authentication

http · 1 scheme

SECURITY

Fashn Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Fashn Agentic Access

2 operations · 1 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

API Documentation

API Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

aid: fashn
name: FASHN AI
description: FASHN AI is an AI-first company specializing in human-centric generative image models tailored for fashion applications.
  The public API offers an asynchronous prediction workflow against a catalog of models including Try-On Max, Product to Model,
  Face to Model, Model Create, Model Swap, Edit, Reframe, Image to Video, and Background Remove.
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: true
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/fashn.png
access: 3rd-Party
created: '2025-03-01'
modified: '2026-05-19'
position: Consuming
tags:
- Artificial Intelligence
- Clothing
- Fashion
- Virtual Try-On
tags_raw:
- AI
- Clothing
- Fashion
- Virtual Try-On
url: https://raw.githubusercontent.com/api-evangelist/fashn/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: fashn:fashn-predictions-api
  name: FASHN AI Predictions API
  description: The Predictions API from FASHN AI — 2 operation(s) for predictions.
  humanURL: https://fashn.ai/products/api
  baseURL: https://api.fashn.ai/v1
  tags:
  - Predictions
  properties:
  - type: OpenAPI
    url: openapi/fashn-predictions-api-openapi.yml
  - type: Documentation
    url: https://fashn.ai/products/api
  - type: API Documentation
    url: https://docs.fashn.ai/
  - type: APIReference
    url: https://docs.fashn.ai/api-overview/api-fundamentals
  - type: DeveloperPortal
    url: https://app.fashn.ai/api
common:
- type: AgenticAccess
  url: agentic-access/fashn-agentic-access.yml
- type: DomainSecurity
  url: security/fashn-domain-security.yml
- type: Authentication
  url: authentication/fashn-authentication.yml
- type: GitHubOrganization
  url: https://github.com/fashn-AI
- type: LinkedIn
  url: https://www.linkedin.com/company/fashn
- type: Website
  url: https://fashn.ai/
- type: Documentation
  url: https://fashn.ai/products/api
- type: API Documentation
  url: https://docs.fashn.ai/
- type: DeveloperPortal
  url: https://app.fashn.ai/api
- type: LlmsText
  url: https://docs.fashn.ai/llms.txt
- url: https://fashn.ai/blog
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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