Mokker.ai

Mokker AI is an AI product-photography tool that replaces the background of a product photo with a realistic, AI-generated scene and upscales images, turning a plain product shot into studio-quality marketing imagery without Photoshop. It serves e-commerce sellers and marketers across categories like cosmetics, electronics, furniture, and jewellery. Mokker is now part of soona (soona.co/mokker) and exposes a v2 REST API in early access that offers the same background-replacement and upscale capabilities as its web app, with free API credits for developers building integrations. Mokker is backed by Point Nine and was added to the API Evangelist network as a portfolio lead.

Mokker.ai is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Image Processing, Product Photography, and E-Commerce.

Mokker.ai’s developer surface includes pricing, engineering blog, signup flow, support, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

25.1/100 emerging ▬ flat Agent 0/100 human only Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

1 API

Company Artificial Intelligence Image Processing Product Photography E-Commerce Background Removal Computer Vision Generative AI

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 25.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 13.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 6.2 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 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

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 16.7 — up to +16.7 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

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/mokkerai/apis.yml: open an issue on github.com/api-evangelist/mokkerai 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.

Market	Position	Depth	Registered MCP server	Declares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	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.

Mokker API

Early-access v2 REST API that replaces product-photo backgrounds with AI-generated scenes and upscales images — the same functionality as the Mokker web app. Documented with a P...

Mokker.ai API pricing

Prices published by Mokker.ai, read 2026-10-07 from mokker.ai/pricing. A free plan or tier is listed.

Plan	Price
Free	Free Includes: 20 photos once, Full access to studio, All templates
Starter	$13/ month Includes: 500 Photos / month, High Quality export, Custom Prompts
Team	$29/ user/ month Includes: everything from Starter, Unlimited Photos, Teams Account (3 Seats)
Organization	$83.25/ user/ month Includes: Starting from 5 seats; everything from Team, Custom AI Model (coming soon), Priority Support

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Mokkerai Plans Pricing

4 plans

PLANS

Security Posture 1

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

Mokkerai Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: mokkerai
name: Mokker.ai
description: Mokker AI is an AI product-photography tool that replaces the background of a product photo with a realistic,
  AI-generated scene and upscales images, turning a plain product shot into studio-quality marketing imagery without Photoshop.
  It serves e-commerce sellers and marketers across categories like cosmetics, electronics, furniture, and jewellery. Mokker
  is now part of soona (soona.co/mokker) and exposes a v2 REST API in early access that offers the same background-replacement
  and upscale capabilities as its web app, with free API credits for developers building integrations. Mokker is backed by
  Point Nine and was added to the API Evangelist network as a portfolio lead.
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: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://framerusercontent.com/assets/xdLOSfokuQlszbASX5TOpMKlZw.jpg
url: https://raw.githubusercontent.com/api-evangelist/mokkerai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- point-nine
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Image Processing
- Product Photography
- E-Commerce
- Background Removal
- Computer Vision
- Generative AI
tags_raw:
- Company
- Artificial Intelligence
- Image Processing
- Product Photography
- E-Commerce
- Background Removal
- Computer Vision
- Generative AI
- Computer-Vision
apis:
- name: Mokker API
  description: Early-access v2 REST API that replaces product-photo backgrounds with AI-generated scenes and upscales images
    — the same functionality as the Mokker web app. Documented with a POST /v2/replace-background example on the developer
    landing page; sign up for free API credits during early access.
  humanURL: https://mokker.ai/api
  baseURL: https://api.mokker.ai/v2
  tags:
  - Artificial Intelligence
  - Image Processing
  - Product Photography
  properties:
  - type: X-MCPServerCandidate
    url: mcp/mokkerai-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: LLMsTxt
    url: llms/mokkerai-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/mokkerai-plans-pricing.yml
- type: DomainSecurity
  url: security/mokkerai-domain-security.yml
- type: Website
  url: https://mokker.ai
- type: DeveloperPortal
  url: https://mokker.ai/api
- type: Pricing
  url: https://mokker.ai/pricing
- type: Blog
  url: https://mokker.ai/blog
- type: SignUp
  url: https://app.mokker.ai/login
- type: Support
  url: https://support.soona.co/
- type: TermsOfService
  url: https://mokker.ai/terms
- type: PrivacyPolicy
  url: https://mokker.ai/privacy
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 3
  pass: local-v1

Mokker.ai API — frequently asked questions

Does Mokker.ai have an API?

Yes. APIs.io lists 1 API from Mokker.ai, including Mokker API.

How much does the Mokker.ai API cost?

Mokker.ai publishes its prices; its Starter plan is $13/ month as of 2026-10-07. APIs.io lists 4 pricing plans for Mokker.ai, with each plan's price, limits and inclusions under Pricing on this page.

Is the Mokker.ai API ready for AI agents?

Mokker.ai has a Kin Score of 25.1 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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