Google Cloud AutoML

Google Cloud AutoML enables developers with limited machine learning expertise to train high-quality custom models. It provides a suite of products for training custom ML models for translation, natural language, vision, video intelligence, and tabular data using transfer learning and neural architecture search.

Google Cloud AutoML publishes 1 API contract indexed on the APIs.io network: Projects API. Tagged areas include AutoML, Custom Models, Google Cloud, Machine Learning, and Training.

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

Google Cloud AutoML’s developer surface includes developer portal, getting-started guide, documentation, authentication, pricing, support, engineering blog, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

54.8/100 strong ▬ flat Agent 22/100 agent aware saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract

AutoML Custom Models Google Cloud Machine Learning Training Model Training

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

Projects

POST /projects/{projectId}/locations/{location}/models POST /projects/{projectId}/locations/{location}/models/{modelId}:predict

Kin Score

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

Composite quality — 54.8/100 · strong

Contract Quality 10.1 / 19

Developer Ergonomics 7.7 / 15

Access Clarity 10.7 / 15

Operational Transparency 5.9 / 10

Contract Governance 0.9 / 9

Discoverability 5.0 / 8

Regulatory Posture 4.2 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 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 7 / 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 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
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
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

9 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 53.8 — up to +11.6 composite points
Contract Governance scores 9.8 — up to +10.8 composite points
Developer Ergonomics scores 51.2 — up to +9.8 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/google-cloud-automl/apis.yml: open an issue on github.com/api-evangelist/google-cloud-automl 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 1

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

Google Cloud AutoML Projects API

The Projects API from Google Cloud AutoML — 4 operation(s) for projects.

Postman Collections 1

Ready-to-run Postman collections for exercising this provider's APIs.

Google Cloud AutoML Projects API

POSTMAN

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Google Cloud AutoML Projects API

OPEN COLLECTION

Google Cloud AutoML API

OPEN COLLECTION

Google Cloud AutoML API pricing

Prices published by Google Cloud AutoML, read 2026-09-20 from cloud.google.com/products/gemini-enterprise-agent-platform.

Plan	Price
Imagen model for image generation	Starting at $0.0001
Text, chat, and code generation	Starting at $0.0001 per 1,000 characters
Custom model training	Contact sales
Agent Platform notebooks - Compute and storage resources	Refer to products
Management fees	Refer to details
Agent Platform Pipelines execution and additional fees	Starting at $0.03 per pipeline run
Agent Platform Vector Search	Refer to example

Plan details, limits and sources →

Rate limits

Write requests to Agent Platform resources: Create, delete, or update Agent Platform resources per minute 10
Non-regional write requests: Create, delete, or update Agent Platform non-regional (global or multiregional) resources per minute 10
Session writes: Create, delete, or update Agent Platform sessions per minute 100

All 28 limits →

Billed by: image · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Google Cloud Automl Plans Pricing

7 plans

PLANS

Google Cloud Automl Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Google Cloud Automl Rate Limits

28 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Google Cloud AutoML

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Google Cloud Automl Finops

FINOPS

Semantic Vocabularies 1

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

context Context

12 classes · 0 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Google Cloud AutoML — jsonschema rules

4 rules · 3 warnings 1 info

SPECTRAL

JSON Schema 1

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

AutoML Model

7 properties

JSON SCHEMA

Security Posture 2

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

Google Cloud Automl Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Google Cloud Automl Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Google Cloud Automl Agentic Access

7 operations · 4 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal

Portal

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

JSONLD

JSONLD

Build 2

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 3

Status, limits, changes, and where to get help

RateLimits

RateLimits

StatusPage

StatusPage

Support

Support

Commercial 5

Pricing, plans, and the legal terms of use

FinOps

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: google-cloud-automl
name: Google Cloud AutoML
description: Google Cloud AutoML enables developers with limited machine learning expertise to train high-quality custom models.
  It provides a suite of products for training custom ML models for translation, natural language, vision, video intelligence,
  and tabular data using transfer learning and neural architecture search.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/google-cloud-automl.png
url: https://raw.githubusercontent.com/api-evangelist/google-cloud-automl/refs/heads/main/apis.yml
created: '2026-03-13'
modified: '2026-05-19'
specificationVersion: '0.23'
type: Index
tags:
- AutoML
- Custom Models
- Google Cloud
- Machine Learning
- Training
- Model Training
tags_raw:
- AutoML
- Custom Models
- Google Cloud
- Machine Learning
- Training
- Machine-Learning
- Model Training
apis:
- aid: google-cloud-automl:google-cloud-automl-projects-api
  name: Google Cloud AutoML Projects API
  description: The Projects API from Google Cloud AutoML — 4 operation(s) for projects.
  humanURL: https://cloud.google.com/automl
  baseURL: https://automl.googleapis.com
  tags:
  - Project
  tags_raw:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/google-cloud-automl-projects-api-openapi.yml
  - type: Documentation
    url: https://cloud.google.com/automl/docs/reference/rest
  - type: Authentication
    url: https://cloud.google.com/automl/docs/reference/rest#authentication
  - type: GettingStarted
    url: https://cloud.google.com/automl/docs
  - type: JSONSchema
    url: json-schema/model.json
  - type: JSONLD
    url: json-ld/context.jsonld
common:
- type: FinOps
  url: finops/google-cloud-automl-finops.yml
- type: RateLimits
  url: rate-limits/google-cloud-automl-rate-limits.yml
- type: Plans
  url: plans/google-cloud-automl-plans-pricing.yml
- type: Website
  url: https://www.google.com/
- type: CapabilityMap
  url: capabilities/google-cloud-automl-capability-edges.yml
  name: Google Cloud AutoML Business Capability Map
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/google-cloud-automl/overview
- type: AgenticAccess
  url: agentic-access/google-cloud-automl-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/google-cloud-automl-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/google-cloud-automl-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/googleapis
- type: Portal
  url: https://cloud.google.com/automl
- type: GettingStarted
  url: https://cloud.google.com/automl/docs
- type: Documentation
  url: https://cloud.google.com/automl/docs/reference/rest
- type: Authentication
  url: https://cloud.google.com/docs/authentication
- type: Pricing
  url: https://cloud.google.com/automl/pricing
- type: TermsOfService
  url: https://cloud.google.com/terms
- type: PrivacyPolicy
  url: https://policies.google.com/privacy
- type: StatusPage
  url: https://status.cloud.google.com/
- type: Support
  url: https://cloud.google.com/automl/docs/support
- type: JSONLD
  url: json-ld/context.jsonld
- type: Integrations
  url: https://cloud.google.com/marketplace
- url: https://docs.cloud.google.com/feeds/automl-natural-language-release-notes.xml
  type: Blog
integrations:
- name: Become a Partner
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-parent: google-cloud-platform
x-relationship: product

Google Cloud AutoML API — frequently asked questions

Does Google Cloud AutoML have an API?

Yes. APIs.io lists 1 API from Google Cloud AutoML, including Google Cloud AutoML Projects API.

Is there an OpenAPI specification for the Google Cloud AutoML API?

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

How do I authenticate with the Google Cloud AutoML API?

Google Cloud AutoML uses bearer-token authentication.

How much does the Google Cloud AutoML API cost?

Google Cloud AutoML publishes its prices; its Imagen model for image generation plan is Starting at $0.0001 as of 2026-09-20. APIs.io lists 7 pricing plans for Google Cloud AutoML, with each plan's price, limits and inclusions under Pricing on this page.

Is the Google Cloud AutoML API ready for AI agents?

Google Cloud AutoML has a Kin Score of 54.8 out of 100 (strong) and an Agent Readiness score of 21.5 (agent-aware), scored by API Evangelist on 2026-11-06.

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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.

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