MarqVision

MarqVision is a brand-integrity and intellectual-property protection platform (Y Combinator S21) that uses AI-powered image recognition and semantic analysis to detect and remove counterfeits, unauthorized sellers, brand impersonation and pirated content across more than 1,500 online marketplaces, e-commerce sites, social platforms and app stores. The product line spans MarqCommerce (marketplace enforcement), MarqContents (content and piracy protection), MarqFolio (trademark portfolio management), MarqLaw (legal services) and a Brand Intelligence Agent for natural-language brand-threat analytics. MarqVision operates a customer-facing "MarqAI API" — named as a component on its own public status page and described in its engineering blog as the "Action-Enabled API" behind the Marq AI Slack app — but publishes no public developer portal, API reference or machine-readable contract; programmatic access is arranged through a customer success manager or the demo waitlist.

MarqVision is profiled on the APIs.io network. Tagged areas include Brand Protection, Intellectual Property, Anti-Counterfeiting, Trademarks, and Content Protection.

MarqVision’s developer surface includes engineering blog, signup flow, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.7/100 emerging ▬ flat Agent 3/100 human only Front door AI 5/6 prominent Heartbeat 66/100 alive saas Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessApproval

0 APIs

Brand Protection Intellectual Property Anti-Counterfeiting TrademarksContent ProtectionE-Commerce Artificial Intelligence Trust and Safety Enforcement Company

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 16.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 4.9 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.1 / 9

Regulatory Posture 3.3 / 15

Agent readiness — 3/100 · 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 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

MCP Tool Quality 6 / 6

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):

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

12 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 2.4 — up to +19.5 composite points
Access Clarity scores 28.9 — up to +14.2 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/marqvision/apis.yml: open an issue on github.com/api-evangelist/marqvision 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
Film & Media Identifiers (EIDR, ISAN, MovieLabs, DPP)	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.

Pricing Plans 1

Published pricing tiers and plan structures.

Marqvision Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Marqvision Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Marqvision Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Marqvision Trust Center

SOC 2 Type II

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnownProbe

WellKnownProbe

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Conformance

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

TrustCenter

TrustCenter

Compliance

Compliance

Operate 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Plans

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: marqvision
name: MarqVision
description: MarqVision is a brand-integrity and intellectual-property protection platform (Y Combinator S21) that uses AI-powered
  image recognition and semantic analysis to detect and remove counterfeits, unauthorized sellers, brand impersonation and
  pirated content across more than 1,500 online marketplaces, e-commerce sites, social platforms and app stores. The product
  line spans MarqCommerce (marketplace enforcement), MarqContents (content and piracy protection), MarqFolio (trademark portfolio
  management), MarqLaw (legal services) and a Brand Intelligence Agent for natural-language brand-threat analytics. MarqVision
  operates a customer-facing "MarqAI API" — named as a component on its own public status page and described in its engineering
  blog as the "Action-Enabled API" behind the Marq AI Slack app — but publishes no public developer portal, API reference
  or machine-readable contract; programmatic access is arranged through a customer success manager or the demo waitlist.
url: https://raw.githubusercontent.com/api-evangelist/marqvision/refs/heads/main/apis.yml
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: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: low
  probe_state: gated
  source:
  - rate-limits
  - security
  generated: '2026-11-02'
  method: derived
image: https://cdn.prod.website-files.com/5e51f2cd33d368869635e146/68c77f858e19fe35fee2eb73_favicon_gradient.png
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-25'
modified: '2026-08-25'
tags:
- Brand Protection
- Intellectual Property
- Anti-Counterfeiting
- Trademarks
- Content Protection
- E-Commerce
- Artificial Intelligence
- Trust and Safety
- Enforcement
- Company
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/marqvision-domain-security.yml
- type: Website
  url: https://www.marqvision.com/
- type: Blog
  url: https://www.marqvision.com/blog
- type: SignUp
  url: https://brand.marqvision.com/login
- type: GitHubOrganization
  url: https://github.com/marqvision
- type: TermsOfService
  url: https://www.marqvision.com/marqcommerce-tc
- type: PrivacyPolicy
  url: https://www.marqvision.com/privacy-policy
- type: StatusPage
  url: https://status.marqvision.com/
- type: TrustCenter
  url: https://app.vanta.com/marqvision/trust/epgpmrjuuy9q9tkqn5m8um
- type: Compliance
  url: https://www.marqvision.com/blog/marqvision-soc-2-type-ii
- type: Lifecycle
  url: lifecycle/marqvision-lifecycle.yml
- type: Conformance
  url: conformance/marqvision-conformance.yml
- type: WellKnownProbe
  url: well-known/marqvision-well-known.yml
- type: Packages
  url: packages/marqvision-packages.yml
- type: Plans
  url: plans/marqvision-plans-pricing.yml
- type: RateLimits
  url: rate-limits/marqvision-rate-limits.yml
- type: LLMsTxt
  url: llms/marqvision-llms.txt
x-enrichment:
  date: '2026-08-25'
  status: minimal
  artifacts_added: 9
  pass: local-v1
x-coverage:
  state: gated
  reason: customer-only-docs
  detail: 'MarqVision runs a real API — its own status page monitors a component named "MarqAI API" and its blog calls the
    Marq AI Slack app "the first product built on our Action-Enabled API" — but ships zero public developer surface: docs.marqvision.com
    and developer.marqvision.com do not resolve, api.marqvision.com 404s on every probed path, and access is routed through
    a customer success manager or the demo waitlist.'
  evidence:
  - url: https://status.marqvision.com/api/v2/components.json
    status: 200
  - url: https://api.marqvision.com/openapi.json
    status: 404
  - url: https://www.marqvision.com/llms.txt
    status: 404
  - url: https://brand.marqvision.com/openapi.json
    status: 200
  checked: '2026-08-25'

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