MachineMetrics

MachineMetrics provides an AI‑powered manufacturing operations platform that connects machines, operators, and enterprise systems in real time. Their MaximaOS solution offers production scheduling, work order management, operator guidance, downtime tracking, OEE analytics, and tool‑life monitoring across multiple sites. By leveraging live machine data and AI, they help manufacturers close the execution gap, improve utilization, and accelerate decision‑making. The platform serves industries such as aerospace, automotive, contract manufacturing, medical devices, and heavy equipment, supporting over 10,000 machines globally.

MachineMetrics is listed with 5 APIs on the APIs.io network, including MachineMetrics API, Mmdevcli API, Ping API, and 2 more. Tagged areas include Company, Manufacturing, Artificial Intelligence, MES, and IoT.

The MachineMetrics catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

MachineMetrics’ developer surface includes CLI, authentication, support, pricing, changelog, engineering blog, API reference, and 19 more developer resources.

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30.9/100 thin ▼ -9.5 Agent 25/100 agent aware Heartbeat 50/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

5 APIs

Company Manufacturing Artificial Intelligence MES IoT Software-as-a-Service

Kin Score

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

Composite quality — 30.9/100 · thin

Contract Quality 3.6 / 19

Developer Ergonomics 5.5 / 15

Access Clarity 2.6 / 15

Operational Transparency 2.6 / 10

Contract Governance 3.2 / 9

Discoverability 6.0 / 8

Regulatory Posture 2.6 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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 6 / 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

10 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 19.0 — up to +20.3 composite points
Access Clarity scores 17.1 — up to +16.6 composite points
Developer Ergonomics scores 36.9 — up to +12.6 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/machinemetrics/apis.yml: open an issue on github.com/api-evangelist/machinemetrics 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 →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 5

Individual APIs this provider publishes, each with its own machine-readable definition.

MachineMetrics MachineMetrics API

The MachineMetrics API API from MachineMetrics — 1 operation(s) for machinemetrics api.

MachineMetrics Mmdevcli API

The Mmdevcli API from MachineMetrics — 1 operation(s) for mmdevcli.

MachineMetrics Ping API

The Ping API from MachineMetrics — 1 operation(s) for ping.

MachineMetrics Reports API

The Reports API from MachineMetrics — 1 operation(s) for reports.

MachineMetrics Graph QL API

The Graph QL API from MachineMetrics — 1 operation(s) for graph ql.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Machinemetrics Context

1 classes · 3 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

MachineMetrics API Rules

11 rules · 9 errors 1 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

PostReportsProductionRequest

3 properties

JSON SCHEMA

Security Posture 2

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

Machinemetrics Authentication

1 scheme

SECURITY

Machinemetrics Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

CLI

CLI

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 3

The organization behind the API

Newsroom

Newsroom

Blog

Blog

Website

Website

Other 3

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Leadership

Leadership

Source (apis.yml)

aid: machinemetrics
name: MachineMetrics
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.machinemetrics.com/hubfs/Homepage.png
description: MachineMetrics provides an AI‑powered manufacturing operations platform that connects machines, operators, and
  enterprise systems in real time. Their MaximaOS solution offers production scheduling, work order management, operator guidance,
  downtime tracking, OEE analytics, and tool‑life monitoring across multiple sites. By leveraging live machine data and AI,
  they help manufacturers close the execution gap, improve utilization, and accelerate decision‑making. The platform serves
  industries such as aerospace, automotive, contract manufacturing, medical devices, and heavy equipment, supporting over
  10,000 machines globally.
url: https://raw.githubusercontent.com/api-evangelist/machinemetrics/refs/heads/main/apis.yml
x-type: company
x-source: harvest:tag-qc
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-13 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-12'
modified: '2026-10-12'
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
tags:
- Company
- Manufacturing
- Artificial Intelligence
- MES
- IoT
- Software-as-a-Service
tags_raw:
- Company
- Manufacturing
- AI
- MES
- IoT
- SaaS
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/machinemetrics-rules.yml
- type: JSONLD
  url: json-ld/machinemetrics-context.jsonld
- type: Vocabulary
  url: vocabulary/machinemetrics-vocabulary.yml
- type: DataModel
  url: data-model/machinemetrics-data-model.yml
- type: CLI
  url: cli/machinemetrics-cli.yml
- type: Authentication
  url: authentication/machinemetrics-authentication.yml
- type: Conformance
  url: conformance/machinemetrics-conformance.yml
- type: LLMsTxt
  url: llms/machinemetrics-llms.txt
- type: SecurityTxt
  url: well-known/machinemetrics-status-security.txt
- type: WellKnown
  url: well-known/machinemetrics-well-known.yml
- type: Hosts
  url: hosts/machinemetrics-hosts.yml
- type: Vendors
  url: vendors/machinemetrics-vendors.yml
- type: Support
  url: https://support.machinemetrics.com/hc/en-us
- type: StatusPage
  url: https://status.machinemetrics.com/
- type: PrivacyPolicy
  url: https://www.machinemetrics.com/privacy
- type: Pricing
  url: https://www.machinemetrics.com/pricing
- type: Newsroom
  url: https://www.machinemetrics.com/newsroom
- type: Login
  url: https://app.machinemetrics.com/login
- type: Leadership
  url: https://www.machinemetrics.com/team
- type: ChangeLog
  url: https://docs.machinemetrics.com/release-notes
- type: Blog
  url: https://www.machinemetrics.com/blog
- type: APIReference
  url: https://developers.machinemetrics.com/docs/data-and-apis/graphql/reference
- type: GettingStarted
  url: https://developers.machinemetrics.com/docs/data-and-apis/expected-setup-allocation
- type: Documentation
  url: https://developers.machinemetrics.com/
- type: DomainSecurity
  url: security/machinemetrics-domain-security.yml
- type: Website
  url: https://www.machinemetrics.com
apis:
- aid: machinemetrics:machinemetrics-machinemetrics-api-api
  name: MachineMetrics MachineMetrics API
  description: The MachineMetrics API API from MachineMetrics — 1 operation(s) for machinemetrics api.
  humanURL: https://developers.machinemetrics.com/docs/tools/mmdev-cli/intro
  baseURL: https://api.machinemetrics.com
  tags:
  - MachineMetrics API
  properties:
  - type: OpenAPI
    url: openapi/machinemetrics-machinemetrics-api-api-openapi.yml
  - type: JSONSchema
    url: json-schema/machinemetrics-post-reports-production-request-schema.json
- aid: machinemetrics:machinemetrics-mmdevcli-api
  name: MachineMetrics Mmdevcli API
  description: The Mmdevcli API from MachineMetrics — 1 operation(s) for mmdevcli.
  humanURL: https://developers.machinemetrics.com/docs/tools/mmdev-cli/intro
  baseURL: https://api.machinemetrics.com
  tags:
  - Mmdevcli
  properties:
  - type: OpenAPI
    url: openapi/machinemetrics-mmdevcli-api-openapi.yml
  - type: JSONSchema
    url: json-schema/machinemetrics-post-reports-production-request-schema.json
- aid: machinemetrics:machinemetrics-ping-api
  name: MachineMetrics Ping API
  description: The Ping API from MachineMetrics — 1 operation(s) for ping.
  humanURL: https://developers.machinemetrics.com/docs/tools/mmdev-cli/intro
  baseURL: https://api.machinemetrics.com
  tags:
  - Ping
  properties:
  - type: OpenAPI
    url: openapi/machinemetrics-ping-api-openapi.yml
  - type: JSONSchema
    url: json-schema/machinemetrics-post-reports-production-request-schema.json
- aid: machinemetrics:machinemetrics-reports-api
  name: MachineMetrics Reports API
  description: The Reports API from MachineMetrics — 1 operation(s) for reports.
  humanURL: https://developers.machinemetrics.com/docs/tools/mmdev-cli/intro
  baseURL: https://api.machinemetrics.com
  tags:
  - Reports
  properties:
  - type: OpenAPI
    url: openapi/machinemetrics-reports-api-openapi.yml
  - type: JSONSchema
    url: json-schema/machinemetrics-post-reports-production-request-schema.json
- aid: machinemetrics:machinemetrics-graph-ql-api
  name: MachineMetrics Graph QL API
  description: The Graph QL API from MachineMetrics — 1 operation(s) for graph ql.
  humanURL: https://developers.machinemetrics.com/docs/tools/mmdev-cli/intro
  baseURL: https://api.machinemetrics.com
  tags:
  - GraphQL
  tags_raw:
  - Graph QL
  properties:
  - type: OpenAPI
    url: openapi/machinemetrics-graph-ql-api-openapi.yml
  - type: JSONSchema
    url: json-schema/machinemetrics-post-reports-production-request-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: OpenAPI spec not found at https://api.machinemetrics.com/openapi.json (404) and GraphQL endpoint requires authentication.
  evidence:
  - url: https://api.machinemetrics.com/openapi.json
    status: 404
  checked: '2026-10-12'
x-enrichment:
  date: '2026-10-13'
  status: enriched
  artifacts_added: 19
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

MachineMetrics API — frequently asked questions

Does MachineMetrics have an API?

Yes. APIs.io lists 5 APIs from MachineMetrics, including MachineMetrics MachineMetrics API, MachineMetrics Mmdevcli API and MachineMetrics Ping API, and 2 more.

Is there an OpenAPI specification for the MachineMetrics API?

Yes. APIs.io indexes 5 OpenAPI specifications for MachineMetrics, each linked for download from this page.

How do I authenticate with the MachineMetrics API?

MachineMetrics documents its authentication (1 scheme). The details are profiled on APIs.io as Machinemetrics Authentication.

Is the MachineMetrics API ready for AI agents?

MachineMetrics has a Kin Score of 30.9 out of 100 (thin) and an Agent Readiness score of 25.4 (agent-aware), scored by API Evangelist on 2026-11-06.

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apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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