Amazon Personalize website screenshot

Amazon Personalize

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

Amazon Personalize publishes 1 API on the APIs.io network: Datasets API. Tagged areas include Artificial Intelligence, Customer Experience, Machine Learning, Personalization, and Recommendations.

The Amazon Personalize catalog on APIs.io includes 2 JSON-LD contexts and 2 Spectral governance rulesets.

Amazon Personalize’s developer surface includes authentication, engineering blog, support, developer console, documentation, pricing, getting-started guide, and 27 more developer resources.

🌐 Visit website 📡 Source on GitHub
53.6/100 developing ▬ flat Agent 25/100 agent aware saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0
AccessFreemiumSelf serve⚡ Free to try
1 APIs
Artificial IntelligenceCustomer ExperienceMachine LearningPersonalizationRecommendations

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0
Composite quality — 53.6/100 · developing
Contract Quality 11.3 / 19
Developer Ergonomics 7.7 / 15
Access Clarity 11.4 / 15
Operational Transparency 1.0 / 10
Contract Governance 2.5 / 9
Discoverability 4.8 / 8
Regulatory Posture 4.9 / 15
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 25/100 · 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 7 / 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
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/.
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 github.com/api-evangelist/amazon-personalize: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

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

Amazon Personalize Datasets API

Operations for managing datasets and dataset groups

Postman Collections 1

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

Amazon Personalize API

POSTMAN

Open Collections 3

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

API Collection

OPEN COLLECTION

Amazon Personalize Datasets API

OPEN COLLECTION

Amazon Personalize API

OPEN COLLECTION

Arazzo Workflows 1

Multi-step API workflows described with the Arazzo specification.

Amazon Personalize Create a Dataset Group

Create an empty Amazon Personalize dataset group for organizing training datasets.

ARAZZO

Pricing Plans 1

Published pricing tiers and plan structures.

Amazon Personalize Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Personalize Rate Limits

5 limits

RATE LIMITS

FinOps 1

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

Amazon Personalize Finops

FINOPS

Semantic Vocabularies 2

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

Amazon Personalize Context

0 classes · 5 properties

JSON-LD

Amazon Personalize Openapi Context

4 classes · 10 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon Personalize API Rules

6 rules · 4 warnings 2 info

SPECTRAL

Amazon Personalize API Rules

25 rules · 10 errors 13 warnings 2 info

SPECTRAL

JSON Schema 5

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

Amazon Personalize Dataset Group Definition

12 properties

JSON SCHEMA

Campaign

5 properties

JSON SCHEMA

CreateDatasetGroupRequest

2 properties

JSON SCHEMA

DatasetGroup

5 properties

JSON SCHEMA

Solution

5 properties

JSON SCHEMA

JSON Structure 5

JSON Structure definitions describing this provider's data shapes.

Amazon Personalize Structure

12 properties

JSON STRUCTURE

Openapi Campaign Structure

5 properties

JSON STRUCTURE

Openapi Create Dataset Group Request Structure

2 properties

JSON STRUCTURE

Openapi Dataset Group Structure

5 properties

JSON STRUCTURE

Openapi Solution Structure

5 properties

JSON STRUCTURE

Examples 5

Example request and response payloads for these APIs.

Amazon Personalize Example

12 fields

EXAMPLE

Openapi Campaign Example

5 fields

EXAMPLE

Openapi Create Dataset Group Request Example

2 fields

EXAMPLE

Openapi Dataset Group Example

5 fields

EXAMPLE

Openapi Solution Example

5 fields

EXAMPLE

Security Posture 4

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

Amazon Personalize Authentication

apiKey · 1 scheme

SECURITY

Amazon Personalize Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Personalize Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Personalize Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

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

Amazon Personalize Agentic Access

1 operation · 1 acting

1 operations · 1 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

Console
Console
 GettingStarted
GettingStarted
 Signup
Signup

Documentation 7

Reference material describing how the API behaves

CLI Reference
CLI Reference
 Documentation
Documentation
 Amazon Personalize
JSONSchema
 Openapi Campaign
JSONSchema
 Openapi Create Dataset Group Request
JSONSchema
 Openapi Dataset Group
JSONSchema
 Openapi Solution
JSONSchema

Scroll for all 7

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Arazzo
Arazzo
 SpectralRules
SpectralRules
 Vocabulary
Vocabulary
 JSONLD
JSONLD
 JSONLD
JSONLD

Build 4

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace
PostmanWorkspace
 SDKs
SDKs
 GitHubOrganization
GitHubOrganization
 Code Examples
Code Examples

Access & Security 5

Authentication, authorization, and security posture

TrustCenter
TrustCenter
 VulnerabilityDisclosure
VulnerabilityDisclosure
 DomainSecurity
DomainSecurity
 Authentication
Authentication
 Compliance
Compliance

Operate 4

Status, limits, changes, and where to get help

Support
Support
 Service Status
Service Status
 FAQ
FAQ
 StackOverflow
StackOverflow

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 Pricing
Pricing
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Blog
Blog
 Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
name: Amazon Personalize
description: Amazon Personalize is a fully managed machine learning service that enables developers to create individualized
  recommendations for customers using their applications.
url: https://aws.amazon.com/personalize/
type: Index
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
specificationVersion: '0.23'
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
tags:
- Artificial Intelligence
- AWS
- Customer Experience
- Machine Learning
- Personalization
- Recommendations
tags_raw:
- AI
- AWS
- Customer Experience
- Machine Learning
- ML
- Personalization
- Recommendations
- Machine-Learning
created: '2024-01-15'
modified: '2026-05-19'
apis:
- aid: amazon-personalize:amazon-personalize-datasets-api
  name: Amazon Personalize Datasets API
  description: Operations for managing datasets and dataset groups
  humanURL: https://aws.amazon.com/personalize/
  baseURL: https://personalize.amazonaws.com
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/amazon-personalize-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/personalize/latest/dg/what-is-personalize.html
  - type: JSONSchema
    url: json-schema/amazon-personalize-schema.json
  - type: JSONLD
    url: json-ld/amazon-personalize-context.jsonld
  - type: Pricing
    url: https://aws.amazon.com/personalize/pricing/
  - type: GettingStarted
    url: https://aws.amazon.com/personalize/getting-started/
  - type: FAQ
    url: https://aws.amazon.com/personalize/faqs/
  - type: Features
    url: https://aws.amazon.com/personalize/features/
  - type: Developer Guide
    url: https://docs.aws.amazon.com/personalize/latest/dg/what-is-personalize.html
  - type: APIReference
    url: https://docs.aws.amazon.com/personalize/latest/dg/API_Reference.html
  - type: RateLimits
    url: https://docs.aws.amazon.com/personalize/latest/dg/limits.html
common:
- type: AgenticAccess
  url: agentic-access/amazon-personalize-agentic-access.yml
- type: TrustCenter
  url: security/amazon-personalize-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-personalize-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-personalize-domain-security.yml
- type: Authentication
  url: authentication/amazon-personalize-authentication.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/amazon-personalize/overview
- type: Arazzo
  url: arazzo/amazon-personalize-create-dataset-group-workflow.yml
  name: Amazon Personalize Create a Dataset Group
- type: Blog
  url: https://aws.amazon.com/blogs/machine-learning/category/artificial-intelligence/amazon-personalize/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: Console
  url: https://console.aws.amazon.com/personalize/
- type: CLI Reference
  url: https://docs.aws.amazon.com/cli/latest/reference/personalize/
- type: SDKs
  url: https://aws.amazon.com/tools/
- type: Service Status
  url: https://status.aws.amazon.com/
- type: Compliance
  url: https://aws.amazon.com/compliance/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: Website
  url: https://aws.amazon.com/personalize/
- type: Documentation
  url: https://docs.aws.amazon.com/personalize/
- type: Pricing
  url: https://aws.amazon.com/personalize/pricing/
- type: GettingStarted
  url: https://aws.amazon.com/personalize/getting-started/
- type: FAQ
  url: https://aws.amazon.com/personalize/faqs/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Signup
  url: https://portal.aws.amazon.com/billing/signup
- type: GitHubOrganization
  url: https://github.com/aws
- type: StackOverflow
  url: https://stackoverflow.com/questions/tagged/amazon-personalize
- type: Code Examples
  url: https://docs.aws.amazon.com/code-library/latest/ug/personalize_code_examples.html
- type: SpectralRules
  url: rules/amazon-personalize-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-personalize-vocabulary.yaml
- type: JSONLD
  url: json-ld/amazon-personalize-context.jsonld
- type: JSONLD
  url: json-ld/amazon-personalize-openapi-context.jsonld
- type: JSONSchema
  url: json-schema/amazon-personalize-schema.json
  title: Amazon Personalize
- type: JSONSchema
  url: json-schema/openapi-campaign-schema.json
  title: Openapi Campaign
- type: JSONSchema
  url: json-schema/openapi-create-dataset-group-request-schema.json
  title: Openapi Create Dataset Group Request
- type: JSONSchema
  url: json-schema/openapi-dataset-group-schema.json
  title: Openapi Dataset Group
- type: JSONSchema
  url: json-schema/openapi-solution-schema.json
  title: Openapi Solution
- type: Integrations
  url: https://aws.amazon.com/marketplace
integrations:
- name: Sign in
- name: Agent Mode
- name: Why AWS Marketplace?
- name: Get started in AWS Marketplace
- name: Industry
- name: Resources
- name: Become a Channel Partner
- name: Sell in AWS Marketplace
- name: Manage Your Account
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
  url: https://apievangelist.com
include: []
x-parent: amazon-web-services
x-relationship: product

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