EVERSTEEL

EVERSTEEL is a University of Tokyo-originated startup building AI image-recognition systems that automate the inspection and grading of steel (iron) scrap for steelmakers. Its flagship product, Tetsu-Navi Inspection AI (鉄ナビ検収AI), uses high-resolution cameras and computer-vision models to grade incoming scrap, detect impurities and hazardous materials, and standardize what was previously a manual, expert-dependent process — advancing steel recycling and reducing CO2 emissions from steel production. The company works with major Japanese steel producers including JFE Steel and Kyoei Steel, and is backed by DCM Ventures, Mitsui & Co., Coreline, and the University of Tokyo.

EVERSTEEL is profiled on the APIs.io network. Tagged areas include Company, Frontier Tech, Artificial Intelligence, Computer-Vision, and Steel.

EVERSTEEL’s developer surface includes engineering blog and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Frontier Tech Artificial Intelligence Computer-Vision Steel Recycling Manufacturing Sustainability Japan

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 7.6/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.5 / 20

Access Clarity 2.1 / 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.

Eversteel Domain Security

TLSv1.3

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: eversteel
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/eversteel.png
name: EVERSTEEL
description: EVERSTEEL is a University of Tokyo-originated startup building AI image-recognition systems that automate the
  inspection and grading of steel (iron) scrap for steelmakers. Its flagship product, Tetsu-Navi Inspection AI (鉄ナビ検収AI),
  uses high-resolution cameras and computer-vision models to grade incoming scrap, detect impurities and hazardous materials,
  and standardize what was previously a manual, expert-dependent process — advancing steel recycling and reducing CO2 emissions
  from steel production. The company works with major Japanese steel producers including JFE Steel and Kyoei Steel, and is
  backed by DCM Ventures, Mitsui & Co., Coreline, and the University of Tokyo.
url: https://raw.githubusercontent.com/api-evangelist/eversteel/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcm-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Frontier Tech
- Artificial Intelligence
- Computer-Vision
- Steel
- Recycling
- Manufacturing
- Sustainability
- Japan
tags_raw:
- Company
- Frontier Tech
- Artificial Intelligence
- Computer Vision
- Steel
- Recycling
- Manufacturing
- Sustainability
- Japan
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/eversteel-domain-security.yml
- type: Website
  url: https://eversteel.co.jp/
- type: Blog
  url: https://eversteel.co.jp/news
- type: PrivacyPolicy
  url: https://eversteel.co.jp/privacy_policy
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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