AI Compute Radar

AI Compute Radar provides a web platform that ranks and matches open AI models to your GPU capabilities. It aggregates model metadata, compute requirements, and pricing from public sources, presenting them in an easy-to-use interface for developers and researchers to select suitable models for their hardware.

AI Compute Radar publishes 2 API contracts indexed on the APIs.io network, including API V1 API, and 1 more. Tagged areas include Artificial Intelligence, Compute, Radar, Models, and GPU.

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

AI Compute Radar’s developer surface includes API reference and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

23.3/100 emerging ▬ flat Agent 18/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract

Artificial Intelligence Compute Radar Models GPU

Kin Score

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

Composite quality — 23.3/100 · emerging

Contract Quality 10.8 / 21

Developer Ergonomics 0.6 / 17

Access Clarity 0.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 5.6 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 18/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 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 0 / 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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/aicomputeradar-dev/"><img src="https://apis.io/badge/aicomputeradar-dev/card.svg" alt="AI Compute Radar on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

Agent readiness — checks not met, largest first (exact, from this profile):

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)
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)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

11 more unmet checks in the Agent Readiness table above.

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

Developer Ergonomics scores 3.6 — up to +19.3 composite points
Access Clarity scores 5.3 — up to +18.9 composite points
Operational Transparency scores 0.0 — up to +13.0 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/aicomputeradar-dev/apis.yml: open an issue on github.com/api-evangelist/aicomputeradar-dev 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 2

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

AI Compute Radar API

Read-only JSON API of aicomputeradar.dev providing model signals, GPU rental prices and hardware-fit verdicts.

AI Compute Radar API V1 API

Read-only JSON API of aicomputeradar.dev. Every response carries provenance (meta.source, meta.collectedAt). Data compilation is licensed CC BY 4.0 — attribute 'AI Compute Radar...

Semantic Vocabularies 1

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

Aicomputeradar Dev Context

11 classes · 79 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

AI Compute Radar API Rules

12 rules · 10 errors 1 warnings 1 info

SPECTRAL

JSON Schema 6

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

FitResponse

4 properties

JSON SCHEMA

Hardware

9 properties

JSON SCHEMA

HistoryPoint

11 properties

JSON SCHEMA

Model

11 properties

JSON SCHEMA

Pick

12 properties

JSON SCHEMA

PriceBand

16 properties

JSON SCHEMA

Security Posture 1

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

Aicomputeradar Dev Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: aicomputeradar-dev
name: AI Compute Radar
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://aicomputeradar.dev/opengraph-image?16d7484b21669be5
description: AI Compute Radar provides a web platform that ranks and matches open AI models to your GPU capabilities. It aggregates
  model metadata, compute requirements, and pricing from public sources, presenting them in an easy-to-use interface for developers
  and researchers to select suitable models for their hardware.
url: https://artifacts.apis.io/aicomputeradar-dev/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Artificial Intelligence
- Compute
- Radar
- Models
- GPU
tags_raw:
- AI
- Compute
- Radar
- Models
- GPU
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/aicomputeradar-dev-rules.yml
- type: JSONLD
  url: json-ld/aicomputeradar-dev-context.jsonld
- type: Vocabulary
  url: vocabulary/aicomputeradar-dev-vocabulary.yml
- type: DataModel
  url: data-model/aicomputeradar-dev-data-model.yml
- type: ErrorCatalog
  url: errors/aicomputeradar-dev-problem-types.yml
- type: Conformance
  url: conformance/aicomputeradar-dev-conformance.yml
- type: LLMsTxt
  url: llms/aicomputeradar-dev-llms.txt
- type: Hosts
  url: hosts/aicomputeradar-dev-hosts.yml
- type: Vendors
  url: vendors/aicomputeradar-dev-vendors.yml
- type: PrivacyPolicy
  url: https://aicomputeradar.dev/legal/privacy
- type: APIReference
  url: https://aicomputeradar.dev/developers
- type: DomainSecurity
  url: security/aicomputeradar-dev-domain-security.yml
- type: Website
  url: https://aicomputeradar.dev/
apis:
- name: AI Compute Radar API
  description: Read-only JSON API of aicomputeradar.dev providing model signals, GPU rental prices and hardware-fit verdicts.
  humanURL: https://aicomputeradar.dev/developers
  baseURL: https://aicomputeradar.dev/api/v1
  properties: []
  aid: aicomputeradar-dev:ai-compute-radar-api
- aid: aicomputeradar-dev:ai-compute-radar-api-v1-api
  name: AI Compute Radar API V1 API
  description: 'Read-only JSON API of aicomputeradar.dev. Every response carries provenance (meta.source, meta.collectedAt).
    Data compilation

    is licensed CC BY 4.0 — attribute ''AI Compute Radar (https://aicomputeradar.dev)''. Rate limit: 60 requests per minute
    per client (best-effort),

    responses are CDN-cached for 5'
  humanURL: https://aicomputeradar.dev/developers
  baseURL: https://aicomputeradar.dev/api/v1
  properties:
  - type: OpenAPI
    url: openapi/_original/aicomputeradar-dev-v1-openapi.json
  - type: JSONSchema
    url: json-schema/aicomputeradar-dev-price-band-schema.json
  - type: JSONSchema
    url: json-schema/aicomputeradar-dev-model-schema.json
  - type: JSONSchema
    url: json-schema/aicomputeradar-dev-pick-schema.json
  - type: JSONSchema
    url: json-schema/aicomputeradar-dev-history-point-schema.json
  - type: JSONSchema
    url: json-schema/aicomputeradar-dev-hardware-schema.json
  - type: JSONSchema
    url: json-schema/aicomputeradar-dev-fit-response-schema.json
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 23
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AI Compute Radar API — frequently asked questions

Does AI Compute Radar have an API?

Yes. APIs.io lists 2 APIs from AI Compute Radar, including AI Compute Radar API and AI Compute Radar API V1 API.

Is there an OpenAPI specification for the AI Compute Radar API?

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

Is the AI Compute Radar API ready for AI agents?

AI Compute Radar has a Kin Score of 23.3 out of 100 (emerging) and an Agent Readiness score of 17.9 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/aicomputeradar-dev"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/aicomputeradar-dev/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/aicomputeradar-dev/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.