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 contract indexed 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 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.1/100 thin ▬ flat Agent 30/100 agent ready Front door AI 5/6 prominent Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract

Artificial Intelligence Clothing Fashion Virtual Try-On

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 29.1/100 · thin

Contract Quality 10.4 / 19

Developer Ergonomics 5.4 / 15

Access Clarity 1.2 / 15

Operational Transparency 1.0 / 10

Contract Governance 0.0 / 9

Discoverability 4.8 / 8

Regulatory Posture 1.6 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 30/100 · agent ready

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 8 / 8

Request/Response Examples 7 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

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 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.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Fashion & Apparel (apparel, footwear, textiles)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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 2

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

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

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

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: Plans
  url: plans/fashn-plans-pricing.yml
- type: RateLimits
  url: rate-limits/fashn-rate-limits.yml
- type: FinOps
  url: finops/fashn-finops.yml
- 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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