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 AI, Customer Experience, Machine Learning, ML, and Personalization.
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.
Kin Score
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
POSTMANOpen Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon Personalize API
OPEN COLLECTIONArazzo 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.
ARAZZOPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon Personalize Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Semantic Vocabularies 2
JSON-LD contexts and semantic vocabularies used across these APIs.
Amazon Personalize Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Amazon Personalize API Rules
SPECTRALAmazon Personalize API Rules
SPECTRALJSON Schema 5
Standalone JSON Schema definitions for this provider's data models.
Amazon Personalize Dataset Group Definition
JSON SCHEMACampaign
JSON SCHEMACreateDatasetGroupRequest
JSON SCHEMADatasetGroup
JSON SCHEMASolution
JSON SCHEMAJSON Structure 5
JSON Structure definitions describing this provider's data shapes.
Amazon Personalize Structure
JSON STRUCTUREOpenapi Campaign Structure
JSON STRUCTUREOpenapi Create Dataset Group Request Structure
JSON STRUCTUREOpenapi Dataset Group Structure
JSON STRUCTUREOpenapi Solution Structure
JSON STRUCTUREExamples 5
Example request and response payloads for these APIs.
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 7
Reference material describing how the API behaves
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Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API