Sensei

Sensei is an autonomous retail technology company that uses computer vision and artificial intelligence to enable checkout-free, "frictionless" shopping with no scanning and no queues, while giving retailers real-time inventory visibility and operational insights. It ships in four formats — Store (full-store), Pod (24/7 autonomous unit), Cabinet (plug-and-play), and Lane (human-assisted express checkout) — serving supermarkets, workplaces, mobility hubs, education, hospitality, leisure, and health/wellness venues. Founded in Portugal (HQ Castelo Branco, with Lisbon, São Paulo, and Milan offices), Sensei is a Techstars-backed company that works with retailers such as Continente, Conad, NOS, Muffato, and Galp and technical partners including Mastercard and HP. Sensei is a hardware and computer-vision provider and publishes no public API, SDK, or developer documentation; engagement is demo-based ("book a demo") rather than developer self-serve.

Sensei is profiled on the APIs.io network. Tagged areas include Company, Autonomous Retail, Computer-Vision, Artificial Intelligence, and Retail Technology.

Sensei’s developer surface includes engineering blog and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub
8.1/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
0 APIs
CompanyAutonomous RetailComputer-VisionArtificial IntelligenceRetail TechnologyCheckout-FreeFrictionless Shopping

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 8.1/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.4 / 17
Access Clarity 3.6 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.3 / 9
Regulatory Posture 3.3 / 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
Regulatory Posture applies to this provider. Its tags matched the Payments 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.
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/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/sensei: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Sensei Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 4

The organization behind the API

Website
Website
 Blog
Blog
 About
About
 LinkedIn
LinkedIn

Source (apis.yml)

apis.yml Raw ↑ 
aid: sensei
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/sensei.png
name: Sensei
description: Sensei is an autonomous retail technology company that uses computer vision and artificial intelligence to enable
  checkout-free, "frictionless" shopping with no scanning and no queues, while giving retailers real-time inventory visibility
  and operational insights. It ships in four formats — Store (full-store), Pod (24/7 autonomous unit), Cabinet (plug-and-play),
  and Lane (human-assisted express checkout) — serving supermarkets, workplaces, mobility hubs, education, hospitality, leisure,
  and health/wellness venues. Founded in Portugal (HQ Castelo Branco, with Lisbon, São Paulo, and Milan offices), Sensei is
  a Techstars-backed company that works with retailers such as Continente, Conad, NOS, Muffato, and Galp and technical partners
  including Mastercard and HP. Sensei is a hardware and computer-vision provider and publishes no public API, SDK, or developer
  documentation; engagement is demo-based ("book a demo") rather than developer self-serve.
url: https://raw.githubusercontent.com/api-evangelist/sensei/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Autonomous Retail
- Computer-Vision
- Artificial Intelligence
- Retail Technology
- Checkout-Free
- Frictionless Shopping
tags_raw:
- Company
- Autonomous Retail
- Computer Vision
- Artificial Intelligence
- Retail Technology
- Checkout-Free
- Frictionless Shopping
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/sensei-domain-security.yml
- type: Website
  url: https://sensei.tech/
- type: TermsOfService
  url: https://sensei.tech/legal/terms-conditions
- type: PrivacyPolicy
  url: https://sensei.tech/legal/privacy-notice
- type: Blog
  url: https://medium.com/@Sensei_Tech
- type: About
  url: https://sensei.tech/company
- type: LinkedIn
  url: https://www.linkedin.com/company/sensei-tech/
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
  pass: local-v1