# Amazon Personalize

**Canonical:** https://apis.io/providers/amazon-personalize/  
**Website:** https://aws.amazon.com/personalize/  
**APIs profiled:** 1

Amazon Personalize is a fully managed machine learning service that enables developers to create individualized recommendations for customers using their applications.

## Kin Score — 52.9 / 100 (developing)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 52.9).

| Facet | Score |
|---|---|
| Discoverability | 66.7 |
| Contract Quality | 68.5 |
| Governance | 25.0 |
| Contract Governance | 25.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 47.6 |
| Commercial Clarity | 76.3 |
| Access Clarity | 76.3 |

## Agent readiness — 35.0 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | verified |
| 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 · Self-serve signup — onboarding: self-serve, pricing: freemium, trial: no (confidence: high).

## APIs (1)

- **Amazon Personalize Datasets API** — Operations for managing datasets and dataset groups

## Agentic access (1)

- **Amazon Personalize Agentic Access** — 1 operation · 1 acting

## Security (4)

- **Amazon Personalize Authentication** — apiKey · 1 scheme
- **Amazon Personalize Domain Security** — TLSv1.3 · HSTS · DMARC
- **Amazon Personalize Vulnerability Disclosure** — security.txt · contact published
- **Amazon Personalize Trust Center** — PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

## Plans (1)

- **Amazon Personalize Plans Pricing**

## Tags

Artificial Intelligence, Customer Experience, Machine-Learning, ML, Personalization, Recommendations

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