AnyImageDetector

AnyImageDetector (imagedetector.online) is a single-purpose AI-image-detection service for individuals, trust-and-safety reviewers, journalists and developers. Its AI Image Detector API exposes one REST endpoint, POST /v1/image/detect, that accepts a JPG/PNG/WebP file up to 8 MB or a public image URL and returns a verdict (likely_ai, likely_human or uncertain), an ai_score from 0 to 1, a confidence label, and a source_breakdown array reserved for future per-generator scores. The provider publishes the exact score bands that map ai_score to verdict and confidence, and deliberately declines to publish a single accuracy percentage, stating that one number would hide differences between generators, image styles, resolutions and editing conditions. Authentication is a static sk_ API key sent as a Bearer token or an x-api-key header; API access requires a paid plan and each successful detection consumes one credit from the same balance as the web tool. Requests are limited to one per second per key, with Retry-After returned on 429.

AnyImageDetector publishes 1 API on the APIs.io network: Detection API. Tagged areas include AI image detection, Image Analysis, Computer Vision, Content Moderation, and Trust and Safety.

AnyImageDetector’s developer surface includes documentation, API reference, support, engineering blog, pricing, signup flow, authentication, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub

39.4/100 developing ▬ flat Agent 32/100 agent ready Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

AccessFreemiumSelf serve⚡ Free to try

1 APIs

AI image detectionImage Analysis Computer Vision Content Moderation Trust and Safety Fact Checkingmedia verificationDeveloper ToolsSynthetic MediaFraud Prevention

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 39.4/100 · developing

Contract Quality 2.8 / 19

Developer Ergonomics 7.1 / 15

Access Clarity 11.4 / 15

Operational Transparency 2.1 / 10

Contract Governance 0.4 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 32/100 · agent ready

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 7 / 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 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/.

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/anyimagedetector: 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.

AnyImageDetector Detection API

Analyze an image and report whether it is AI-generated.

Open Collections 1

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

AI Image Detector API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Anyimagedetector Plans Pricing

5 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Anyimagedetector Rate Limits

1 limits

RATE LIMITS

Security Posture 2

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

Anyimagedetector Authentication

http-bearer/apiKey · 2 schemes

SECURITY

Anyimagedetector Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

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

ErrorCatalog

Conventions

Lifecycle

Conformance

DataModel

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 3

The organization behind the API

Website

Website

Blog

Blog

About

About

Other 2

Properties that don't map to a standard resource type

Methodology

Methodology

Limitations

Limitations

Source (apis.yml)

name: AnyImageDetector
description: AnyImageDetector (imagedetector.online) is a single-purpose AI-image-detection service for individuals, trust-and-safety
  reviewers, journalists and developers. Its AI Image Detector API exposes one REST endpoint, POST /v1/image/detect, that
  accepts a JPG/PNG/WebP file up to 8 MB or a public image URL and returns a verdict (likely_ai, likely_human or uncertain),
  an ai_score from 0 to 1, a confidence label, and a source_breakdown array reserved for future per-generator scores. The
  provider publishes the exact score bands that map ai_score to verdict and confidence, and deliberately declines to publish
  a single accuracy percentage, stating that one number would hide differences between generators, image styles, resolutions
  and editing conditions. Authentication is a static sk_ API key sent as a Bearer token or an x-api-key header; API access
  requires a paid plan and each successful detection consumes one credit from the same balance as the web tool. Requests are
  limited to one per second per key, with Retry-After returned on 429.
url: https://raw.githubusercontent.com/api-evangelist/anyimagedetector/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  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: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-09-02'
  method: derived
image: https://imagedetector.online/og-image.png
created: '2026-08-11'
modified: '2026-08-11'
specificationVersion: '0.23'
tags:
- AI image detection
- Image Analysis
- Computer Vision
- Content Moderation
- Trust and Safety
- Fact Checking
- media verification
- Developer Tools
- Synthetic Media
- Fraud Prevention
tags_raw:
- AI image detection
- image analysis
- computer vision
- content moderation
- trust & safety
- fact-checking
- media verification
- developer tools
- synthetic media
- fraud prevention
- Computer-Vision
apis:
- aid: anyimagedetector:anyimagedetector-detection-api
  name: AnyImageDetector Detection API
  description: Analyze an image and report whether it is AI-generated.
  humanURL: https://imagedetector.online/api
  baseURL: https://imagedetector.online/v1
  tags:
  - Detection
  properties:
  - type: OpenAPI
    url: openapi/anyimagedetector-detection-api-openapi.yml
  - type: Documentation
    url: https://imagedetector.online/docs
  - type: APIReference
    url: https://imagedetector.online/docs
  - type: DataModel
    url: data-model/anyimagedetector-data-model.yml
  - type: ErrorCatalog
    url: errors/anyimagedetector-problem-types.yml
maintainers:
- FN: imagedetector.online
  url: https://imagedetector.online
  email: support@imagedetector.online
generated:
  by: apis.io/add
  model: claude-opus-4-8
  confidence: 85
  at: '2026-08-11T07:10:19.945Z'
common:
- type: Website
  url: https://www.imagedetector.online/
- type: X-MCPServerCandidate
  url: mcp/anyimagedetector-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: DomainSecurity
  url: security/anyimagedetector-domain-security.yml
- type: DeveloperPortal
  url: https://imagedetector.online/api
- type: Documentation
  url: https://imagedetector.online/docs
- type: APIReference
  url: https://imagedetector.online/docs
- type: Support
  url: mailto:support@imagedetector.online
- type: Blog
  url: https://imagedetector.online/blog
- type: Pricing
  url: https://imagedetector.online/pricing
- type: SignUp
  url: https://imagedetector.online/sign-up
- type: Login
  url: https://imagedetector.online/sign-in
- type: TermsOfService
  url: https://imagedetector.online/terms-of-service
- type: PrivacyPolicy
  url: https://imagedetector.online/privacy-policy
- type: Methodology
  url: https://imagedetector.online/methodology
- type: Limitations
  url: https://imagedetector.online/accuracy-and-limitations
- type: About
  url: https://imagedetector.online/about
- type: LLMsTxt
  url: llms/anyimagedetector-llms.txt
- type: Authentication
  url: authentication/anyimagedetector-authentication.yml
- type: ErrorCatalog
  url: errors/anyimagedetector-problem-types.yml
- type: RateLimits
  url: rate-limits/anyimagedetector-rate-limits.yml
- type: Plans
  url: plans/anyimagedetector-plans-pricing.yml
- type: Conventions
  url: conventions/anyimagedetector-conventions.yml
- type: Lifecycle
  url: lifecycle/anyimagedetector-lifecycle.yml
- type: Conformance
  url: conformance/anyimagedetector-conformance.yml
- type: DataModel
  url: data-model/anyimagedetector-data-model.yml
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-08-11'
  status: enriched
  artifacts_added: 16
  pass: local-v1

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