TensorMesh

TensorMesh provides a high-performance, scalable platform for building and deploying tensor-based computational meshes. Their services enable developers to create, visualize, and manage complex data structures for AI, scientific computing, and simulation workloads. The company focuses on delivering robust APIs, comprehensive documentation, and enterprise-grade security to support a wide range of applications across industries.

TensorMesh is listed with 2 APIs on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Data Processing, Cloud Platform, and Machine Learning.

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

TensorMesh’s developer surface includes pricing, CLI, changelog, API reference, getting-started guide, documentation, and 22 more developer resources.

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31.2/100 thin ▲ 5.3 Agent 13/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

2 APIs

Company Artificial Intelligence Data Processing Cloud Platform Machine Learning

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 31.2/100 · thin

Contract Quality 3.8 / 21

Developer Ergonomics 7.3 / 17

Access Clarity 6.9 / 17

Operational Transparency 1.6 / 11

Contract Governance 2.2 / 10

Discoverability 5.2 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 13/100 · agent aware

Machine-Readable Contract 18 / 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 0 / 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

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 17.8 — up to +20.6 composite points Ask about this →
Access Clarity scores 40.4 — up to +11.9 composite points Ask about this →
Developer Ergonomics scores 42.9 — up to +11.4 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/tensormesh/apis.yml: open an issue on github.com/api-evangelist/tensormesh 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 →

APIs 2

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

TensorMesh API

API for TensorMesh platform providing KV caching and deployment management for vLLM fleets.

TensorMesh API

TensorMesh API as documented publicly: 11 operations. Contract generated from the documentation by API Evangelist (2026-10-19); not the provider's own document.

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

TensorMesh

11 quoted statements, read from TensorMesh's own page on 2026-11-10.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

TensorMesh

19 quoted statements, read from TensorMesh's own page on 2026-11-10.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

TensorMesh

4 quoted statements, read from TensorMesh's own page on 2026-11-10.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

TensorMesh

2 quoted statements, read from TensorMesh's own page on 2026-11-10.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

TensorMesh

1 quoted statement, read from TensorMesh's own page on 2026-11-10.

LICENSE

Semantic Vocabularies 1

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

Tensormesh Context

1 classes · 3 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

TensorMesh API Rules

37 rules · 35 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 1

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

PostV1ChatCompletionsRequest

3 properties

JSON SCHEMA

Security Posture 1

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

TensorMesh Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 3

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

AIPreferences

AIPreferences

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 3

SDKs, sample code, and the tooling you integrate with

CLI

CLI

SDKs

SDKs

Packages

Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 5

Pricing, plans, and the legal terms of use

TermsOfService

PrivacyPolicy

Pricing

UsageTerms

DataLicense

Company 1

The organization behind the API

Website

Website

Other 5

Properties that don't map to a standard resource type

AgentCard

Hosts

Vendors

DataProcessing

Eligibility

Source (apis.yml)

aid: tensormesh
name: TensorMesh
description: TensorMesh provides a high-performance, scalable platform for building and deploying tensor-based computational
  meshes. Their services enable developers to create, visualize, and manage complex data structures for AI, scientific computing,
  and simulation workloads. The company focuses on delivering robust APIs, comprehensive documentation, and enterprise-grade
  security to support a wide range of applications across industries.
url: https://raw.githubusercontent.com/api-evangelist/tensormesh/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-19 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-10-19'
modified: '2026-10-19'
tags:
- Company
- Artificial Intelligence
- Data Processing
- Cloud Platform
- Machine Learning
tags_raw:
- Company
- AI
- Data-Processing
- Cloud-Platform
- Machine-Learning
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: TermsOfService
  url: https://www.tensormesh.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.tensormesh.ai/privacy-policy
- type: Pricing
  url: https://www.tensormesh.ai/pricing
- type: Spectral
  url: rules/tensormesh-rules.yml
- type: JSONLD
  url: json-ld/tensormesh-context.jsonld
- type: Vocabulary
  url: vocabulary/tensormesh-vocabulary.yml
- type: DataModel
  url: data-model/tensormesh-data-model.yml
- type: CLI
  url: cli/tensormesh-cli.yml
- type: ChangeLog
  url: changelog/tensormesh-changelog.yml
- type: Conformance
  url: conformance/tensormesh-conformance.yml
- type: LLMsTxt
  url: llms/tensormesh-llms.txt
- type: AgentCard
  url: a2a/tensormesh-a2a.yml
- type: WellKnown
  url: well-known/tensormesh-well-known.yml
- type: Hosts
  url: hosts/tensormesh-hosts.yml
- type: Vendors
  url: vendors/tensormesh-vendors.yml
- type: SDKs
  url: packages/tensormesh-packages.yml
- type: Packages
  url: packages/tensormesh-packages.yml
- type: ChangeLog
  url: https://docs.tensormesh.ai/release-notes
- type: APIReference
  url: https://docs.tensormesh.ai/v1.0.1/reference/cli
- type: GettingStarted
  url: https://docs.tensormesh.ai/v1.0.1/installation/getting-started
- type: Documentation
  url: https://docs.tensormesh.ai/
- type: DomainSecurity
  url: security/tensormesh-domain-security.yml
- type: Website
  url: https://tensormesh.ai/
- type: UsageTerms
  url: terms/tensormesh-terms-of-service.yml
- type: DataProcessing
  url: privacy/tensormesh-privacy-policy.yml
- type: Eligibility
  url: eligibility/tensormesh-eligibility.yml
- type: AIPreferences
  url: ai-preferences/tensormesh-ai-preferences.yml
- type: DataLicense
  url: data-license/tensormesh-data-license.yml
apis:
- name: TensorMesh API
  description: API for TensorMesh platform providing KV caching and deployment management for vLLM fleets.
  humanURL: https://docs.tensormesh.ai/v1.0.1/introduction
  baseURL: null
  aid: tensormesh:tensormesh-api-2
- aid: tensormesh:tensormesh-api
  name: TensorMesh API
  description: 'TensorMesh API as documented publicly: 11 operations. Contract generated from the documentation by API Evangelist
    (2026-10-19);

    not the provider''s own document.'
  humanURL: https://docs.tensormesh.ai/v1.0.0/reference/cli.md
  baseURL: https://operator.tensormesh.ai
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/tensormesh-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/tensormesh-post-v1-chat-completions-request-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Documentation is available as markdown but no OpenAPI, GraphQL schema, or other machine-readable contract was found.
  evidence:
  - url: https://docs.tensormesh.ai/v1.0.1/introduction
    status: 200
  checked: '2026-10-19'
x-enrichment:
  date: '2026-10-19'
  status: enriched
  artifacts_added: 26
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

TensorMesh API — frequently asked questions

Does TensorMesh have an API?

Yes. APIs.io lists 2 APIs from TensorMesh, including TensorMesh API and TensorMesh API.

Is there an OpenAPI specification for the TensorMesh API?

Yes. APIs.io indexes 1 OpenAPI specification for TensorMesh, each linked for download from this page.

Is the TensorMesh API ready for AI agents?

TensorMesh has a Kin Score of 31.2 out of 100 (thin) and an Agent Readiness score of 12.7 (agent-aware), scored by API Evangelist on 2026-11-13.

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