Airis Labs

Airis Labs (AI RIS Labs Ltd.) is a defense and public-safety AI company, founded in 2023 and based in Washington, D.C. and Tel Aviv, whose User-Generated Field Intelligence (UGFI) platform turns unstructured user-generated video and other visual sources - smartphones, social media, digital forensics, CCTV, body cams, drones and FMV - into structured, searchable intelligence for government, homeland security, law enforcement and military analysts, with agentic analyst workflows and self-hosted or sovereign-cloud deployment. The company markets a demo-led, customer-controlled product and publishes no public API, SDK, developer portal or machine-readable contract.

Airis Labs is profiled on the APIs.io network. Tagged areas include Company, Defense, Homeland Security, Public Safety, and Video Intelligence.

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9.4/100 minimal ▬ flat Agent 0/100 human only Front door AI 3/6 light Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

0 APIs

Company Defense Homeland Security Public Safety Video Intelligence Computer Vision Artificial IntelligenceIntelligence AnalysisAI Agents

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 9.4/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 2.5 / 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

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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

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 0.0 — up to +20.0 composite points
Access Clarity scores 21.1 — up to +15.8 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/airislabsb51a/apis.yml: open an issue on github.com/api-evangelist/airislabsb51a 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.

Security Posture 1

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

Airislabsb51A Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ContactSales

ContactSales

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

About

About

LinkedIn

Crunchbase

Crunchbase

Other 3

Properties that don't map to a standard resource type

Leadership

Leadership

DataSubjectRequest

DataSubjectRequest

RegulatoryPosture

RegulatoryPosture

Source (apis.yml)

aid: airislabsb51a
name: Airis Labs
description: Airis Labs (AI RIS Labs Ltd.) is a defense and public-safety AI company, founded in 2023 and based in Washington,
  D.C. and Tel Aviv, whose User-Generated Field Intelligence (UGFI) platform turns unstructured user-generated video and other
  visual sources - smartphones, social media, digital forensics, CCTV, body cams, drones and FMV - into structured, searchable
  intelligence for government, homeland security, law enforcement and military analysts, with agentic analyst workflows and
  self-hosted or sovereign-cloud deployment. The company markets a demo-led, customer-controlled product and publishes no
  public API, SDK, developer portal or machine-readable contract.
url: https://raw.githubusercontent.com/api-evangelist/airislabsb51a/refs/heads/main/apis.yml
image: https://cdn.prod.website-files.com/68241742ad17ac94212468d8/682418aa4db6ec8782b4aee8_webclip.png
x-type: company
x-source: harvest:secondary-market
x-tier: stub
x-tier-reason: harvest
x-legal-name: AI RIS Labs Ltd.
x-founded: '2023'
x-headquarters: Washington, D.C., United States; Tel Aviv, Israel
specificationVersion: '0.20'
created: '2026-09-19'
modified: '2026-09-19'
tags:
- Company
- Defense
- Homeland Security
- Public Safety
- Video Intelligence
- Computer Vision
- Artificial Intelligence
- Intelligence Analysis
- AI Agents
tags_raw:
- Company
- Defense
- Homeland Security
- Public Safety
- Video Intelligence
- Computer Vision
- Artificial Intelligence
- Intelligence Analysis
- Agentic AI
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/airislabsb51a-domain-security.yml
- type: Website
  url: https://www.airis-labs.com/
- type: About
  url: https://www.airis-labs.com/about
- type: Leadership
  url: https://www.airis-labs.com/about
- type: ContactSales
  url: https://www.airis-labs.com/get-a-demo
- type: TermsOfService
  url: https://www.airis-labs.com/information/terms-of-use
- type: PrivacyPolicy
  url: https://www.airis-labs.com/information/privacy-notice
- type: LinkedIn
  url: https://www.linkedin.com/company/airislabs
- type: Crunchbase
  url: https://www.crunchbase.com/organization/airis-labs
- type: DataSubjectRequest
  url: regulatory/airislabsb51a-regulatory-posture.yml
- type: RegulatoryPosture
  url: regulatory/airislabsb51a-regulatory-posture.yml
x-enrichment:
  date: '2026-09-19'
  status: minimal
  artifacts_added: 3
  pass: local-v3
x-coverage:
  state: none
  reason: no-developer-program
  detail: Airis Labs is a demo-led defense-AI vendor whose entire public surface is a five-page Webflow marketing site (sitemap.xml
    lists home, about, get-a-demo, privacy notice, terms of use); no docs, api, developer, app, status or mcp subdomain resolves
    (all NXDOMAIN) and /docs, /api, /developers, /openapi.json and every /.well-known/* path return 404.
  evidence:
  - url: https://www.airis-labs.com/sitemap.xml
    status: 200
  - url: https://www.airis-labs.com/docs
    status: 404
  - url: https://www.airis-labs.com/openapi.json
    status: 404
  - url: https://www.airis-labs.com/.well-known/agent-card.json
    status: 404
  - url: https://equityzen.com/company/airislabsb51a
    status: 403
  checked: '2026-09-19'

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