Veesion website screenshot

Veesion

Veesion is a French computer-vision company that sells AI-powered shoplifting detection to retailers. Its gesture-recognition models run against a store's existing CCTV cameras — either on a compact on-site server or through a serverless integration — and analyse body movement and concealment behaviour rather than faces, so no biometric identification is performed. When a pattern associated with theft is recognised, the store team receives a short video alert in a mobile app for review. Founded in 2018 and headquartered in Bordeaux, France (Veesion SAS, RCS Nanterre 838 664 274), the company operates across supermarkets, hypermarkets, pharmacies and independent retail stores in more than 25 countries, and raised a EUR 38M Series B to expand its AI-powered loss-prevention platform. Veesion is sold as an end-user product through a direct and partner sales motion; it publishes no public developer program, API reference, SDK or machine-readable contract.

Veesion is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Computer Vision, Video Surveillance, and Retail.

Veesion’s developer surface includes engineering blog, support, and 9 more developer resources.

15.6/100 emerging ▬ flat Agent 3/100 human only Front door AI 3/6 light Heartbeat 26/100 slowing Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
AccessApproval
0 APIs
CompanyArtificial IntelligenceComputer VisionVideo SurveillanceRetailLoss PreventionPhysical SecurityGesture RecognitionFrance

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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<a href="https://apis.io/providers/veesion/"><img src="https://apis.io/badge/veesion/card.svg" alt="Veesion on APIs.io — Kin Score by API Evangelist"></a>
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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):
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/veesion/apis.yml: open an issue on github.com/api-evangelist/veesion 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
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.

Veesion API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Veesion Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Veesion Rate Limits

0 limits

RATE LIMITS

Security Posture 1

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

Veesion Domain Security

TLSv1.3 · HSTS · DNSSEC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: veesion
name: Veesion
description: Veesion is a French computer-vision company that sells AI-powered shoplifting detection to retailers. Its gesture-recognition
  models run against a store's existing CCTV cameras — either on a compact on-site server or through a serverless integration
  — and analyse body movement and concealment behaviour rather than faces, so no biometric identification is performed. When
  a pattern associated with theft is recognised, the store team receives a short video alert in a mobile app for review. Founded
  in 2018 and headquartered in Bordeaux, France (Veesion SAS, RCS Nanterre 838 664 274), the company operates across supermarkets,
  hypermarkets, pharmacies and independent retail stores in more than 25 countries, and raised a EUR 38M Series B to expand
  its AI-powered loss-prevention platform. Veesion is sold as an end-user product through a direct and partner sales motion;
  it publishes no public developer program, API reference, SDK or machine-readable contract.
url: https://raw.githubusercontent.com/api-evangelist/veesion/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: low
  probe_state: none
  source:
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://veesion.io/wp-content/uploads/2023/06/veesion_gradiente.png
x-type: company
x-source: harvest:secondary-market
x-harvest-listing: https://www.hiive.com/securities/veesion-stock
x-tier: stub
x-tier-reason: harvest
specificationVersion: '0.20'
created: '2026-09-02'
modified: '2026-09-02'
tags:
- Company
- Artificial Intelligence
- Computer Vision
- Video Surveillance
- Retail
- Loss Prevention
- Physical Security
- Gesture Recognition
- France
tags_raw:
- Company
- Artificial Intelligence
- Computer Vision
- Video Surveillance
- Retail
- Loss Prevention
- Physical Security
- Gesture Recognition
- France
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/veesion-plans-pricing.yml
- type: RateLimits
  url: rate-limits/veesion-rate-limits.yml
- type: Website
  url: https://veesion.io/en/
- type: Blog
  url: https://veesion.io/en/blog-veesion/
- type: Support
  url: https://veesion.io/en/contact-us/
- type: PrivacyPolicy
  url: https://veesion.io/en/privacy-policy/
- type: TermsOfService
  url: https://veesion.io/en/legal/
- type: GitHubOrganization
  url: https://github.com/veesion-io
- type: CustomerPortal
  url: https://portal.veesion.io/
- type: Compliance
  url: conformance/veesion-conformance.yml
- type: DomainSecurity
  url: security/veesion-domain-security.yml
x-enrichment:
  date: '2026-09-02'
  status: minimal
  artifacts_added: 7
  pass: local-v1
x-coverage:
  state: none
  reason: no-developer-program
  detail: 'Veesion ships AI shoplifting detection as an installed end-user product for store staff — a mobile alert app plus
    an on-site appliance — and publishes no developer surface at all: the word "API" does not appear in the copy of any of
    the 157 pages in its own sitemap, and every contract-discovery probe (OpenAPI, Swagger, GraphQL, WSDL, MCP tools/list,
    A2A agent card) missed on veesion.io, www.veesion.io, portal.veesion.io, veesion.pro and demo.veesion.io.'
  evidence:
  - url: https://veesion.io/llms.txt
    status: 404
  - url: https://veesion.io/openapi.json
    status: 404
  - url: https://veesion.io/.well-known/agent-card.json
    status: 404
  - url: https://veesion.io/.well-known/security.txt
    status: 404
  - url: https://veesion.io/en/pricing/
    status: 404
  - url: https://veesion.io/wp-json/
    status: 401
  - url: https://veesion.pro/openapi.json
    status: 404
  - url: https://veesion.io/page-sitemap1.xml
    status: 200
  checked: '2026-09-02'

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