Google Cloud Recommendations AI

Google Cloud Recommendations AI delivers personalized product recommendations at scale. It uses machine learning to understand customer behavior and product catalog data to generate highly relevant recommendations for retail and e-commerce use cases including product discovery, related items, and frequently bought together.

Google Cloud Recommendations AI publishes 1 API contract indexed on the APIs.io network: Projects API. Tagged areas include E-Commerce, Google Cloud, Machine Learning, Personalization, and Recommendations.

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

Google Cloud Recommendations AI’s developer surface includes getting-started guide, pricing, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.4/100 thin ▬ flat Agent 20/100 agent aware saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

1 published contract

E-Commerce Google Cloud Machine Learning Personalization Recommendations Retail

Kin Score

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

Composite quality — 29.4/100 · thin

Contract Quality 10.1 / 19

Developer Ergonomics 1.8 / 15

Access Clarity 2.8 / 15

Operational Transparency 2.1 / 10

Contract Governance 0.9 / 9

Discoverability 5.0 / 8

Regulatory Posture 2.3 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 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 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 4 / 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
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
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

9 more unmet checks in the Agent Readiness table above.

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

Developer Ergonomics scores 11.9 — up to +17.6 composite points
Access Clarity scores 18.4 — up to +16.3 composite points
Contract Quality scores 53.8 — up to +11.6 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/google-cloud-recommendations-ai/apis.yml: open an issue on github.com/api-evangelist/google-cloud-recommendations-ai 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 Recommendations AI Projects API

The Projects API from Google Cloud Recommendations AI — 3 operation(s) for projects.

Open Collections 2

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

Google Cloud Recommendations AI Projects API

OPEN COLLECTION

Google Cloud Recommendations AI API

OPEN COLLECTION

Google Cloud Recommendations AI API pricing

Not yet checked against Google Cloud Recommendations AI's own pricing page. Compiled by API Evangelist on 2026-05-04; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free freemium	Free
Professional paid	Free
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Google Cloud Recommendations AI's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Google Cloud Recommendations Ai Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Google Cloud Recommendations Ai Rate Limits

5 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 Recommendations AI

SLA

FinOps 1

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

Google Cloud Recommendations Ai Finops

FINOPS

Semantic Vocabularies 1

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

context Context

14 classes · 0 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Google Cloud Recommendations AI — jsonschema rules

5 rules · 3 warnings 2 info

SPECTRAL

JSON Schema 1

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

Catalog Item

8 properties

JSON SCHEMA

Security Posture 2

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

Google Cloud Recommendations Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Google Cloud Recommendations Ai Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

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

Google Cloud Recommendations Ai Agentic Access

4 operations · 3 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

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 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

name: Google Cloud Recommendations AI
description: Google Cloud Recommendations AI delivers personalized product recommendations at scale. It uses machine learning
  to understand customer behavior and product catalog data to generate highly relevant recommendations for retail and e-commerce
  use cases including product discovery, related items, and frequently bought together.
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: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/google-cloud-recommendations-ai.png
url: https://raw.githubusercontent.com/api-evangelist/google-cloud-recommendations-ai/refs/heads/main/apis.yml
created: '2026-03-13'
modified: '2026-05-19'
specificationVersion: '0.23'
tags:
- E-Commerce
- Google Cloud
- Machine Learning
- Personalization
- Recommendations
- Retail
tags_raw:
- E-Commerce
- Google Cloud
- Machine Learning
- Personalization
- Recommendations
- Retail
- Machine-Learning
apis:
- aid: google-cloud-recommendations-ai:google-cloud-recommendations-ai-projects-api
  name: Google Cloud Recommendations AI Projects API
  description: The Projects API from Google Cloud Recommendations AI — 3 operation(s) for projects.
  humanURL: https://cloud.google.com/recommendations-ai
  baseURL: https://recommendationengine.googleapis.com
  tags:
  - Project
  tags_raw:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/google-cloud-recommendations-ai-projects-api-openapi.yml
  - type: JSONSchema
    url: json-schema/catalog-item.json
  - type: JSONLD
    url: json-ld/context.jsonld
common:
- type: Plans
  url: plans/google-cloud-recommendations-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/google-cloud-recommendations-ai-rate-limits.yml
- type: FinOps
  url: finops/google-cloud-recommendations-ai-finops.yml
- type: Website
  url: https://www.google.com/
- type: AgenticAccess
  url: agentic-access/google-cloud-recommendations-ai-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/google-cloud-recommendations-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/google-cloud-recommendations-ai-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/googleapis
- type: GettingStarted
  url: https://cloud.google.com/recommendations-ai/docs/overview
- type: Pricing
  url: https://cloud.google.com/recommendations-ai/pricing
- type: JSONLD
  url: json-ld/context.jsonld
- type: Integrations
  url: https://cloud.google.com/marketplace
integrations:
- name: Become a Partner
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-parent: google-cloud-platform
x-relationship: product

Google Cloud Recommendations AI API — frequently asked questions

Does Google Cloud Recommendations AI have an API?

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

Is there an OpenAPI specification for the Google Cloud Recommendations AI API?

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

How much does the Google Cloud Recommendations AI API cost?

APIs.io lists 3 pricing plans for Google Cloud Recommendations AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Google Cloud Recommendations AI API ready for AI agents?

Google Cloud Recommendations AI has a Kin Score of 29.4 out of 100 (thin) and an Agent Readiness score of 20.0 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

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MCP server

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Tools for providers

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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.

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