Avathon

Avathon — formerly SparkCognition, rebranded in November 2024 — is an industrial AI company whose Industrial AI Platform combines a data platform, industrial digital twin, AI modeling and application development layers to bring predictive maintenance, asset performance management, visual intelligence and autonomy to physical operations. Its solutions span renewables, oil and gas, power and utilities, manufacturing, mining, aerospace and defense, maritime, rail, aviation, logistics, warehousing and retail, with named offerings including Asset Performance Management, Visual AI / Visual Intelligence, Autonomy for Health, Safety and Environment, the Digital Maintenance Advisor and the Multidomain Awareness Advisor. The platform is sold and delivered as an enterprise engagement — marketing material references an application development SDK and APIs, but no public developer portal, API reference or machine-readable specification is published; the only documentation surface, support.avathon.com/help, redirects to a HubSpot member login. Avathon is backed by investors including Temasek, Verizon Ventures and Boeing, and is headquartered in Silicon Valley after relocating from Austin, Texas.

Avathon is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Industrial AI, Predictive Maintenance, and Asset Performance Management.

Avathon’s developer surface includes engineering blog, support, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.1/100 minimal ▬ flat Agent 0/100 human only Front door AI 4/6 moderate Heartbeat 96/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Industrial AI Predictive Maintenance Asset Performance Management Computer Vision Digital Twin Renewable Energy Oil and Gas Manufacturing Aerospace and Defense Logistics

Kin Score

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

Composite quality — 10.1/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.6 / 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 Energy & Utilities 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 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/avathon/apis.yml: open an issue on github.com/api-evangelist/avathon 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.

Avathon Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ContactUs

ContactUs

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Other 6

Properties that don't map to a standard resource type

Platform

CookiePolicy

Resources

CaseStudies

Glossary

SecondaryMarket

Source (apis.yml)

aid: avathon
name: Avathon
description: Avathon — formerly SparkCognition, rebranded in November 2024 — is an industrial AI company whose Industrial
  AI Platform combines a data platform, industrial digital twin, AI modeling and application development layers to bring predictive
  maintenance, asset performance management, visual intelligence and autonomy to physical operations. Its solutions span renewables,
  oil and gas, power and utilities, manufacturing, mining, aerospace and defense, maritime, rail, aviation, logistics, warehousing
  and retail, with named offerings including Asset Performance Management, Visual AI / Visual Intelligence, Autonomy for Health,
  Safety and Environment, the Digital Maintenance Advisor and the Multidomain Awareness Advisor. The platform is sold and
  delivered as an enterprise engagement — marketing material references an application development SDK and APIs, but no public
  developer portal, API reference or machine-readable specification is published; the only documentation surface, support.avathon.com/help,
  redirects to a HubSpot member login. Avathon is backed by investors including Temasek, Verizon Ventures and Boeing, and
  is headquartered in Silicon Valley after relocating from Austin, Texas.
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
  probe_state: gated
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://avathon.com/wp-content/uploads/2024/10/avathon-logo-1100.png
url: https://raw.githubusercontent.com/api-evangelist/avathon/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-08-06'
modified: '2026-08-06'
tags:
- Company
- Artificial Intelligence
- Industrial AI
- Predictive Maintenance
- Asset Performance Management
- Computer Vision
- Digital Twin
- Renewable Energy
- Oil and Gas
- Manufacturing
- Aerospace and Defense
- Logistics
tags_raw:
- Company
- Artificial Intelligence
- Industrial AI
- Predictive Maintenance
- Asset Performance Management
- Computer Vision
- Digital Twin
- Renewable Energy
- Oil and Gas
- Manufacturing
- Aerospace and Defense
- Logistics
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/avathon-domain-security.yml
- type: LLMsTxt
  url: llms/avathon-llms.txt
- type: Website
  url: https://avathon.com/
- type: Platform
  url: https://avathon.com/platform-2/
- type: Solutions
  url: https://avathon.com/solutions/
- type: Blog
  url: https://avathon.com/blogs/
- type: Support
  url: https://support.avathon.com/help
- type: ContactUs
  url: https://avathon.com/contact-us-2/
- type: TermsOfService
  url: https://avathon.com/terms-of-service/
- type: PrivacyPolicy
  url: https://avathon.com/privacy-policy/
- type: CookiePolicy
  url: https://avathon.com/cookie-policy/
- type: Resources
  url: https://avathon.com/resources/
- type: CaseStudies
  url: https://avathon.com/case-studies/
- type: Glossary
  url: https://avathon.com/ai-glossary/
- type: LinkedIn
  url: https://www.linkedin.com/company/avathonai/
- type: SecondaryMarket
  url: https://www.hiive.com/securities/avathon-stock
x-enrichment:
  date: '2026-08-06'
  status: minimal
  artifacts_added: 3
  pass: local-v1
x-coverage:
  state: gated
  reason: customer-only-docs
  detail: Avathon's entire documentation surface is the HubSpot-hosted help centre at support.avathon.com/help, which 307-redirects
    to /_hcms/mem/login — there is no docs., developer. or api. host in DNS at all, and the Industrial AI Platform's "application
    development SDK and APIs" are named only in marketing copy.
  evidence:
  - url: https://support.avathon.com/help
    status: 307
  - url: https://avathon.com/openapi.json
    status: 404
  - url: https://avathon.com/.well-known/agent-card.json
    status: 404
  - url: https://docs.avathon.com/
    status: 0
  checked: '2026-08-06'

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