# Google Cloud Recommendations AI

**Canonical:** https://apis.io/providers/google-cloud-recommendations-ai/  
**APIs profiled:** 1

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.

## Kin Score — 32.2 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 32.2).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 60.8 |
| Governance | 9.8 |
| Contract Governance | 9.8 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 11.9 |
| Commercial Clarity | 26.3 |
| Access Clarity | 26.3 |

## Agent readiness — 20.5 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: medium).

## APIs (1)

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

## Agentic access (1)

- **Google Cloud Recommendations Ai Agentic Access** — 4 operations · 3 acting

## Security (2)

- **Google Cloud Recommendations Ai Domain Security** — TLSv1.3 · HSTS · DMARC
- **Google Cloud Recommendations Ai Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Google Cloud Recommendations Ai Plans Pricing**

## Tags

E-Commerce, Google Cloud, Machine-Learning, Personalization, Recommendations, Retail

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/google-cloud-recommendations-ai/). Scores are computed from the provider's own public artifacts under a published rubric.