FireVisor

FireVisor is an AI-based manufacturing analytics platform that helps manufacturers leverage their production data beyond traditional defect detection and process control methods. Founded in 2018 and headquartered in Singapore (with a secondary office in Toronto, Canada), FireVisor works toward "self-aware factories powered by artificial intelligence," applying machine learning to manufacturing and industrial-automation data. It is a 500 Global portfolio company. As of this profile the public firevisor.com site returns a 404 from its load balancer and exposes no public API, developer portal, or documentation.

FireVisor is profiled on the APIs.io network. Tagged areas include Company, Manufacturing, Analytics, Artificial Intelligence, and Industrial Automation.

🌐 Visit website 📡 Source on GitHub
5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyManufacturingAnalyticsArtificial IntelligenceIndustrial AutomationDefect DetectionMachine-Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 5.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Access Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Contract Governance 0.0 / 12
Discoverability 5.0 / 10
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
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.
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Security Posture 1

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

Firevisor Domain Security

no transport/DNS hardening detected

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 LinkedIn
LinkedIn

Source (apis.yml)

apis.yml Raw ↑ 
aid: firevisor
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
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/firevisor.png
name: FireVisor
description: FireVisor is an AI-based manufacturing analytics platform that helps manufacturers leverage their production
  data beyond traditional defect detection and process control methods. Founded in 2018 and headquartered in Singapore (with
  a secondary office in Toronto, Canada), FireVisor works toward "self-aware factories powered by artificial intelligence,"
  applying machine learning to manufacturing and industrial-automation data. It is a 500 Global portfolio company. As of this
  profile the public firevisor.com site returns a 404 from its load balancer and exposes no public API, developer portal,
  or documentation.
url: https://raw.githubusercontent.com/api-evangelist/firevisor/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Manufacturing
- Analytics
- Artificial Intelligence
- Industrial Automation
- Defect Detection
- Machine-Learning
tags_raw:
- Company
- Manufacturing
- Analytics
- Artificial Intelligence
- Industrial Automation
- Defect Detection
- Machine Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/firevisor-domain-security.yml
- type: Website
  url: https://firevisor.com
- type: LinkedIn
  url: https://www.linkedin.com/company/firevisor
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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