Intenseye

Intenseye is an AI-powered workplace safety platform that applies computer vision to a facility's existing CCTV cameras to detect unsafe conditions and behaviors in real time and prevent Serious Injuries and Fatalities (SIF). Its Environment, Health and Safety (EHS) product surfaces hazards, compliance gaps, and operational risks across manufacturing, logistics, food & beverage, and other high-risk industries, and can trigger Hard Stop emergency alerts. Intenseye offers cloud, private cloud, and on-premise deployment, is SOC 2 / AICPA certified and GDPR-aligned, uses AES-256 encryption at rest and TLS in transit, and does not use facial recognition. Backed by Insight Partners, Lightspeed Venture Partners, and Point Nine. Intenseye publishes no public API, SDK, or developer portal; product access is through its dashboard and login. It maintains a public GitHub organization of mostly open-source forks and workshops rather than first-party client libraries.

Intenseye is profiled on the APIs.io network. Tagged areas include Company, Workplace Safety, Computer Vision, Artificial Intelligence, and EHS.

Intenseye’s developer surface includes engineering blog, support, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

14.2/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessEnterprise

0 APIs

Company Workplace Safety Computer Vision Artificial Intelligence EHS Occupational Safety Manufacturing Industrial IoT

Kin Score

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

Composite quality — 14.2/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.3 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.7 / 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 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

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 7.1 — up to +18.6 composite points
Access Clarity scores 25.0 — up to +15.0 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/intenseye/apis.yml: open an issue on github.com/api-evangelist/intenseye 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)	mixed	44.1	-	-
ServiceNow Store (partner apps + ServiceNow Certified App)	mixed	44.1	-	-

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.

Intenseye API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Intenseye Plans Pricing

0 plans

PLANS

Security Posture 1

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

Intenseye Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Compliance

Compliance

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: intenseye
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: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/intenseye.png
name: Intenseye
description: Intenseye is an AI-powered workplace safety platform that applies computer vision to a facility's existing CCTV
  cameras to detect unsafe conditions and behaviors in real time and prevent Serious Injuries and Fatalities (SIF). Its Environment,
  Health and Safety (EHS) product surfaces hazards, compliance gaps, and operational risks across manufacturing, logistics,
  food & beverage, and other high-risk industries, and can trigger Hard Stop emergency alerts. Intenseye offers cloud, private
  cloud, and on-premise deployment, is SOC 2 / AICPA certified and GDPR-aligned, uses AES-256 encryption at rest and TLS in
  transit, and does not use facial recognition. Backed by Insight Partners, Lightspeed Venture Partners, and Point Nine. Intenseye
  publishes no public API, SDK, or developer portal; product access is through its dashboard and login. It maintains a public
  GitHub organization of mostly open-source forks and workshops rather than first-party client libraries.
url: https://raw.githubusercontent.com/api-evangelist/intenseye/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
- lightspeed-venture-partners
- point-nine
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Workplace Safety
- Computer Vision
- Artificial Intelligence
- EHS
- Occupational Safety
- Manufacturing
- Industrial IoT
tags_raw:
- Company
- Workplace Safety
- Computer Vision
- Artificial Intelligence
- EHS
- Occupational Safety
- Manufacturing
- Industrial IoT
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/intenseye-plans-pricing.yml
- type: DomainSecurity
  url: security/intenseye-domain-security.yml
- type: Conformance
  url: conformance/intenseye-conformance.yml
- type: Compliance
  url: https://www.intenseye.com/deployments-and-privacy/privacy-and-security
- type: Website
  url: https://www.intenseye.com/
- type: Blog
  url: https://www.intenseye.com/resources/blog
- type: PrivacyPolicy
  url: https://www.intenseye.com/privacy-policy
- type: Login
  url: https://auth.intenseye.com/login
- type: Support
  url: https://www.intenseye.com/contact-us
- type: GitHubOrganization
  url: https://github.com/intenseye
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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