Hayden AI

Hayden AI is a San Francisco based artificial intelligence and spatial analytics company that builds a mobile perception platform for public transit agencies and city governments. The company mounts a purpose-built AI camera and edge compute box on transit buses and other municipal fleet vehicles, then uses computer vision to detect bus lane, bus stop, bike lane, double parking and tram blocking violations in real time. Detections are reviewed by authorized agency staff in the Hayden AI Data Portal, which also carries traffic rule management, city asset monitoring and aggregated traffic analytics, and which hands verified evidence off to an agency's existing violations processing system for citation issuance. Hayden AI publishes no public developer program, API documentation, SDK or machine-readable API contract; the platform is sold and integrated directly with transit agencies and municipalities.

Hayden AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Computer Vision, Transportation, and Transit.

Hayden AI’s developer surface includes engineering blog, support, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.5/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Computer Vision Transportation Transit Smart Cities GovernmentTraffic EnforcementSpatial Analytics Mobility

Kin Score

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

Composite quality — 16.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.9 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 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

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 Government & Public Sector 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 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/hayden-ai/apis.yml: open an issue on github.com/api-evangelist/hayden-ai 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.

Hayden Ai Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

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

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: hayden-ai
name: Hayden AI
description: Hayden AI is a San Francisco based artificial intelligence and spatial analytics company that builds a mobile
  perception platform for public transit agencies and city governments. The company mounts a purpose-built AI camera and edge
  compute box on transit buses and other municipal fleet vehicles, then uses computer vision to detect bus lane, bus stop,
  bike lane, double parking and tram blocking violations in real time. Detections are reviewed by authorized agency staff
  in the Hayden AI Data Portal, which also carries traffic rule management, city asset monitoring and aggregated traffic analytics,
  and which hands verified evidence off to an agency's existing violations processing system for citation issuance. Hayden
  AI publishes no public developer program, API documentation, SDK or machine-readable API contract; the platform is sold
  and integrated directly with transit agencies and municipalities.
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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://cdn.sanity.io/images/q6pmksqm/production/bdddb692160a09d5666ec6c13fbfd79f55e2419d-1200x630.png
url: https://raw.githubusercontent.com/api-evangelist/hayden-ai/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profile
x-tier-reason: enriched
specificationVersion: '0.23'
created: '2026-08-04'
modified: '2026-08-04'
tags:
- Company
- Artificial Intelligence
- Computer Vision
- Transportation
- Transit
- Smart Cities
- Government
- Traffic Enforcement
- Spatial Analytics
- Mobility
tags_raw:
- Company
- Artificial Intelligence
- Computer Vision
- Transportation
- Transit
- Smart Cities
- Government
- Traffic Enforcement
- Spatial Analytics
- Mobility
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/hayden-ai-domain-security.yml
- type: Website
  url: https://hayden.ai/
- type: Blog
  url: https://hayden.ai/blog
- type: Support
  url: https://hayden.ai/contact
- type: PrivacyPolicy
  url: https://hayden.ai/privacy-policy
- type: TermsOfService
  url: https://hayden.ai/terms-of-use
- type: Compliance
  url: https://hayden.ai/compliance
- type: GitHubOrganization
  url: https://github.com/HaydenAI
- type: WellKnown
  url: well-known/hayden-ai-well-known.yml
- type: Conformance
  url: conformance/hayden-ai-conformance.yml
- type: LLMsTxt
  url: llms/hayden-ai-llms.txt
- type: Packages
  url: packages/hayden-ai-packages.yml
x-enrichment:
  date: '2026-08-04'
  status: enriched
  artifacts_added: 5
  pass: local-v1

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