Ximilar website screenshot

Ximilar

Ximilar is a Czech visual-AI company that sells computer vision as a REST API and a no-code platform. Its api.ximilar.com surface covers image recognition and tagging (fashion, home decor, stock photo), collectibles AI (trading-card, sports-card and comic identification, AI card grading and TCG price search), visual search and similarity (reverse image search, product matching, multimodal text-to-image), OCR, background removal and image upscaling, plus a Computer Vision Platform for training custom classification, regression, detection and vision-language models and chaining them with Flows. Everything is billed in API credits against a monthly plan allowance, authenticated with a single account token, and callable synchronously or through an asynchronous request API with webhook callbacks. Ximilar also publishes a first-party Python SDK and a local MCP server exposing eleven of its services to LLM clients.

Ximilar is listed with 1 API on the APIs.io network. Tagged areas include Computer Vision, Image Recognition, Visual Search, Image Tagging, and Machine Learning.

The Ximilar catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Ximilar’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 28 more developer resources.

59.5/100 strong ▬ flat Agent 33/100 agent ready Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
AccessFreemiumSelf serve⚡ Free to try
1 API 1 MCP Servers
Computer VisionImage RecognitionVisual SearchImage TaggingMachine LearningArtificial IntelligenceOCRCollectiblesFashionE-CommerceMCPImage Processing

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
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/.
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Agent readiness — checks not met, largest first (exact, from this profile):
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
  • Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
  • Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
  • Agent Skills +5 pts — skills artifact present, graded by who authored it
5 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
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 the provider profile at artifacts.apis.io/ximilar/apis.yml: open an issue on github.com/api-evangelist/ximilar to ask a question or point us at an artifact you publish. 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.

MarketPositionDepthRegistered MCP serverDeclares compatibility
Fashion & Apparel (apparel, footwear, textiles) distribution 9.6 (thin) - -
RPA and Document AI (RPA marketplaces, intelligent document processing) distribution 9.6 (thin) - -
ONVIF Video Analytics (video surveillance, edge cameras, computer vision) distribution 9.6 (thin) - -

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.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

measured — observed by APIs.io (documented)

APIs 1

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

Ximilar API

The Ximilar REST API at https://api.ximilar.com. One account token in an 'Authorization: Token' header unlocks every service the active plan includes: fashion, home-decor and ph...

MCP Servers 1

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

Ximilar MCP Server

Ximilar publishes a first-party MCP server for its Computer Vision Platform. It is a Python FastMCP server distributed inside the official ximilar-client repository (ximilar/ser...

MCP SERVER

Ximilar API pricing

Prices published by Ximilar, read 2026-10-28 from www.ximilar.com/pricing/.

PlanPrice
Free € 0
Includes: 1,000 API credits monthly
Business (100K / 300K / 500K) € 59 175 285
Includes: 100,000 / 300,000 / 500,000 API credits monthly
Professional (1M–40M) € 499 930 1,299 1,635 1,945 2,229 2,485 3,125 5,359 7,619 9,559
Includes: 1,000,000 to 40,000,000 API credits monthly
API Credit Packs € 10 28 89 162 232 355 605 1,040 1,440 1,820 2,180
Includes: Do not expire; used after monthly supply runs out

Plan details, limits and sources →

Rate limits

All 9 limits →

Billed by: credit pack (10,000 to 5,000,000 credits) · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Ximilar Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Ximilar Rate Limits

9 limits

RATE LIMITS

FinOps 1

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

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 2

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

Ximilar Authentication

apiKey · 1 scheme

SECURITY

Ximilar Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 5

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 4

Status, limits, changes, and where to get help

Commercial 5

Pricing, plans, and the legal terms of use

Company 4

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: ximilar
name: Ximilar
description: Ximilar is a Czech visual-AI company that sells computer vision as a REST API and a no-code platform. Its api.ximilar.com
  surface covers image recognition and tagging (fashion, home decor, stock photo), collectibles AI (trading-card, sports-card
  and comic identification, AI card grading and TCG price search), visual search and similarity (reverse image search, product
  matching, multimodal text-to-image), OCR, background removal and image upscaling, plus a Computer Vision Platform for training
  custom classification, regression, detection and vision-language models and chaining them with Flows. Everything is billed
  in API credits against a monthly plan allowance, authenticated with a single account token, and callable synchronously or
  through an asynchronous request API with webhook callbacks. Ximilar also publishes a first-party Python SDK and a local
  MCP server exposing eleven of its services to LLM clients.
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ximilar.png
tags:
- Computer Vision
- Image Recognition
- Visual Search
- Image Tagging
- Machine Learning
- Artificial Intelligence
- OCR
- Collectibles
- Fashion
- E-Commerce
- MCP
- Image Processing
tags_raw:
- Computer Vision
- Image Recognition
- Visual Search
- Image Tagging
- Machine Learning
- Artificial Intelligence
- OCR
- Collectibles
- Fashion
- E-Commerce
- MCP
- Image Processing
- Computer-Vision
- Machine-Learning
created: '2025-03-01'
modified: '2026-08-28'
url: https://raw.githubusercontent.com/api-evangelist/ximilar/refs/heads/main/apis.yml
specificationVersion: '0.23'
common:
- type: Website
  url: https://www.ximilar.com/
- type: DeveloperPortal
  url: https://www.ximilar.com/developers/
- type: Documentation
  url: https://docs.ximilar.com/
- type: APIReference
  url: https://docs.ximilar.com/services
- type: GettingStarted
  url: https://docs.ximilar.com/quickstart
- type: Support
  url: https://www.ximilar.com/faq/
- type: Contact
  url: https://www.ximilar.com/contact-us/
- type: Blog
  url: https://www.ximilar.com/blog/
- type: BlogRSS
  url: https://www.ximilar.com/blog/feed/
- type: GitHubOrganization
  url: https://github.com/ximilar-com
- type: SourceCode
  url: https://gitlab.com/ximilar-public/ximilar-client
- type: LinkedIn
  url: https://www.linkedin.com/company/ximilar
- type: Pricing
  url: https://www.ximilar.com/pricing/
- type: SignUp
  url: https://app.ximilar.com/register
- type: Login
  url: https://app.ximilar.com/login
- type: TermsOfService
  url: https://www.ximilar.com/terms-of-use-privacy/
- type: PrivacyPolicy
  url: https://www.ximilar.com/terms-of-use-privacy/
- type: Compliance
  url: https://www.ximilar.com/how-we-handle-data/
- type: StatusPage
  url: https://status.ximilar.com/
- type: LLMsTxt
  url: https://docs.ximilar.com/llms.txt
- type: Plans
  url: plans/ximilar-plans-pricing.yml
- type: RateLimits
  url: rate-limits/ximilar-rate-limits.yml
- type: FinOps
  url: finops/ximilar-finops.yml
- type: Packages
  url: packages/ximilar-packages.yml
- type: SDKs
  url: packages/ximilar-packages.yml
- type: MCPServer
  url: mcp/ximilar-mcp.yml
- type: Authentication
  url: authentication/ximilar-authentication.yml
- type: Conventions
  url: conventions/ximilar-conventions.yml
- type: Idempotency
  url: conventions/ximilar-conventions.yml
- type: ErrorCatalog
  url: errors/ximilar-problem-types.yml
- type: Lifecycle
  url: lifecycle/ximilar-lifecycle.yml
- type: Conformance
  url: conformance/ximilar-conformance.yml
- type: Webhooks
  url: asyncapi/ximilar-webhooks.yml
- type: Sandbox
  url: sandbox/ximilar-sandbox.yml
- type: DomainSecurity
  url: security/ximilar-domain-security.yml
apis:
- aid: ximilar:ximilar
  name: Ximilar API
  description: 'The Ximilar REST API at https://api.ximilar.com. One account token in an ''Authorization: Token'' header unlocks
    every service the active plan includes: fashion, home-decor and photo tagging, collectibles recognition and AI card grading,
    visual and text-to-image search over your own collections, OCR, background removal, image upscaling, product-description
    generation, and the Computer Vision Platform for training custom classification, regression, detection, similarity and
    vision-language models. Requests and responses are JSON, images arrive as _url or _base64 records, up to ten records per
    call, and long jobs can be run through the asynchronous request API with a webhook callback.'
  humanURL: https://docs.ximilar.com/
  baseURL: https://api.ximilar.com
  tags:
  - Computer Vision
  - Image Recognition
  - Visual Search
  - Image Tagging
  - OCR
  - Collectibles
  - Machine Learning
  tags_raw:
  - Computer Vision
  - Image Recognition
  - Visual Search
  - Image Tagging
  - OCR
  - Collectibles
  - Machine Learning
  - Computer-Vision
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.ximilar.com/
  - type: APIReference
    url: https://docs.ximilar.com/services
  - type: GettingStarted
    url: https://docs.ximilar.com/quickstart
  - type: Authentication
    url: https://docs.ximilar.com/quickstart
  - type: MCPServer
    url: https://docs.ximilar.com/mcp
  - type: AsynchronousRequests
    url: https://docs.ximilar.com/async-api
  - type: CodeSamples
    url: https://docs.ximilar.com/code-samples/python
  - type: Demo
    url: https://demo.ximilar.com/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-enrichment:
  date: '2026-08-28'
  status: enriched
  artifacts_added: 10
  pass: local-v1

Ximilar API — frequently asked questions

Does Ximilar have an API?

Yes. APIs.io lists 1 API from Ximilar, including Ximilar API.

How do I authenticate with the Ximilar API?

Ximilar uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Ximilar Authentication.

How much does the Ximilar API cost?

Ximilar publishes its prices; its Free plan is € 0 as of 2026-10-28. APIs.io lists 4 pricing plans for Ximilar, with each plan's price, limits and inclusions under Pricing on this page.

Does Ximilar have an MCP server?

Yes. APIs.io lists 1 MCP server for Ximilar: Ximilar publishes a first-party MCP server for its Computer Vision Platform. It is a Python FastMCP server distributed inside the official ximilar-client repository (ximilar/server/server.py) and run

Is the Ximilar API ready for AI agents?

Ximilar has a Kin Score of 59.5 out of 100 (strong) and an Agent Readiness score of 33.1 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

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