SmartMore

SmartMore Corporation (思谋科技) is a Hong Kong- and Shenzhen-headquartered industrial AI and machine vision company founded in 2019, building products and solutions for smart manufacturing and digital innovation. Its flagship SMore ViMo platform bundles ViMo Cloud, ViMo Deeplearning and ViMo Studio into a low-code industrial vision stack covering data management, model training, visual solution design and production-line deployment, and is sold alongside first-party hardware — industrial smart cameras, barcode readers (VS600/VS800P/VS1000/VS2000), vision sensors (VN2000/VN4000) and lenses — through the SmartMoreInside sub-brand. The company also markets digital platforms (Light3D, Data, Gauge, AIoT) and industrial large models (IndustryGPT, SMore LrMo). SmartMore states it has filed 400+ global patent applications with 200+ granted, served 200+ enterprise customers, and reached unicorn status on a Series B that exceeded USD 200 million in 2021, with R&D and business centers in Hong Kong, Shenzhen, Shanghai, Suzhou, Tokyo, Beijing, Hangzhou and Singapore. As of this pass the company publishes no public developer program, API reference or machine-readable contract; ViMo model export to an SDK is described in marketing copy but is delivered with the licensed product rather than documented publicly.

SmartMore is profiled on the APIs.io network. Tagged areas include Company, Industrial AI, Machine Vision, Computer Vision, and Smart Manufacturing.

SmartMore’s developer surface includes support, engineering blog, product news, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.2/100 minimal ▬ flat Agent 0/100 human only Front door AI 3/6 light saas Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

0 APIs

Company Industrial AI Machine Vision Computer Vision Smart Manufacturing Quality Inspection Deep Learning Industrial Automation Edge AI Hardware

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 10.2/100 · 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 4.2 / 9

Regulatory Posture 1.9 / 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 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)
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/smartmore/apis.yml: open an issue on github.com/api-evangelist/smartmore 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.

Smartmore 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 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

About

Blog

News

Source (apis.yml)

aid: smartmore
name: SmartMore
description: SmartMore Corporation (思谋科技) is a Hong Kong- and Shenzhen-headquartered industrial AI and machine vision company
  founded in 2019, building products and solutions for smart manufacturing and digital innovation. Its flagship SMore ViMo
  platform bundles ViMo Cloud, ViMo Deeplearning and ViMo Studio into a low-code industrial vision stack covering data management,
  model training, visual solution design and production-line deployment, and is sold alongside first-party hardware — industrial
  smart cameras, barcode readers (VS600/VS800P/VS1000/VS2000), vision sensors (VN2000/VN4000) and lenses — through the SmartMoreInside
  sub-brand. The company also markets digital platforms (Light3D, Data, Gauge, AIoT) and industrial large models (IndustryGPT,
  SMore LrMo). SmartMore states it has filed 400+ global patent applications with 200+ granted, served 200+ enterprise customers,
  and reached unicorn status on a Series B that exceeded USD 200 million in 2021, with R&D and business centers in Hong Kong,
  Shenzhen, Shanghai, Suzhou, Tokyo, Beijing, Hangzhou and Singapore. As of this pass the company publishes no public developer
  program, API reference or machine-readable contract; ViMo model export to an SDK is described in marketing copy but is delivered
  with the licensed product rather than documented publicly.
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: none
  source:
  - security
  generated: '2026-11-02'
  method: derived
image: https://global.smartmore.com/upload/sysconfigs/2024-02/65dff166cb8a2.png
url: https://raw.githubusercontent.com/api-evangelist/smartmore/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-28'
modified: '2026-08-28'
tags:
- Company
- Industrial AI
- Machine Vision
- Computer Vision
- Smart Manufacturing
- Quality Inspection
- Deep Learning
- Industrial Automation
- Edge AI
- Hardware
tags_raw:
- Company
- Industrial AI
- Machine Vision
- Computer Vision
- Smart Manufacturing
- Quality Inspection
- Deep Learning
- Industrial Automation
- Edge AI
- Hardware
- Computer-Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://global.smartmore.com/
- type: About
  url: https://global.smartmore.com/company.html
- type: Support
  url: https://global.smartmore.com/contact-us.html
- type: Blog
  url: https://global.smartmore.com/blogs.html
- type: News
  url: https://global.smartmore.com/news.html
- type: TermsOfService
  url: https://global.smartmore.com/terms-of-use.html
- type: PrivacyPolicy
  url: https://global.smartmore.com/privacy.html
- type: LLMsTxt
  url: llms/smartmore-llms.txt
- type: DomainSecurity
  url: security/smartmore-domain-security.yml
x-enrichment:
  date: '2026-08-28'
  status: minimal
  artifacts_added: 3
  pass: local-v1
x-coverage:
  state: none
  reason: no-developer-program
  detail: SmartMore sells the SMore ViMo vision platform and its own camera/sensor hardware as licensed end-user products
    and publishes no developer surface at all — api., developer. and docs.smartmore.com do not resolve in DNS, every /.well-known/
    path on global., inside., cn. and www.smartmore.com returns a hard 404, no OpenAPI/Swagger/GraphQL/AsyncAPI contract exists
    on any host, and the "export to SDK" ViMo Deeplearning advertises has no public download, reference, or package in npm,
    PyPI or crates.io. (The platform answers HTTP 200 with an empty body for arbitrary non-existent file paths, so a 200 from
    these hosts is a catch-all, not a document.)
  evidence:
  - url: https://developer.smartmore.com/
    status: 0
  - url: https://api.smartmore.com/
    status: 0
  - url: https://global.smartmore.com/.well-known/api-catalog
    status: 404
  - url: https://global.smartmore.com/.well-known/agent-card.json
    status: 404
  - url: https://inside.smartmore.com/.well-known/security.txt
    status: 404
  - url: https://global.smartmore.com/company.html
    status: 200
  checked: '2026-08-28'

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