Amazon SageMaker Feature Store Runtime
Amazon SageMaker Feature Store Runtime
Contains all data plane API operations and data types for the Amazon SageMaker Feature Store.
Integrates with Amazon SageMaker
Authentication method is unspecified
Refer to the official Amazon SageMaker Feature Store documentation for authentication and usage details. Authentication type is not specified in the input.
Uptime · 30-day window
GitHub activity
About this API
The Amazon SageMaker Feature Store Runtime API provides data plane operations and data types specifically for managing feature data within the Amazon SageMaker ecosystem. It is designed to facilitate the storage, retrieval, and management of features used in machine learning models.
Developers building machine learning applications can use this API to efficiently access feature data in real-time or batch scenarios, ensuring that models have consistent and up-to-date input data. The API is relevant for teams looking to centralize feature data management and integrate tightly with Amazon SageMaker workflows.
While the API focuses on feature store operations, details about authentication and specific endpoints are not provided in the input, so users should consult official AWS resources for implementation guidance.
What you can build
- 1Store and retrieve machine learning features
- 2Manage feature data for ML models
- 3Access feature data in real-time applications
Strengths & limitations
Strengths
- Integrates with Amazon SageMaker
- Supports real-time feature retrieval
- Focuses on feature data management
Limitations
- Authentication method is unspecified
- Limited public documentation details
Example request
curl https://github.com/mermade/aws2openapi/<endpoint>Getting started
Refer to the official Amazon SageMaker Feature Store documentation for authentication and usage details. Authentication type is not specified in the input.
FAQ
What authentication methods are required?+
The authentication type is not specified; consult official AWS documentation for details.
Can I use this API to retrieve features in real-time?+
Yes, it supports real-time feature retrieval for machine learning applications.
Is there an official SDK for this API?+
The input does not specify SDK availability; check AWS SDKs for SageMaker support.
What protocols does this API use?+
The API uses REST protocol.
Technical details
- Auth type
- unknown
- Pricing
- unknown
- Protocols
- REST
- Response time
- 8 ms
- Last health check
- 5/20/2026, 8:19:43 AM
More from Amazon Web Services
AWS IAM Access Analyzer API analyzes IAM resource policies for over-privileged access or external access — proactively surfaces security risks.
Alexa for Business helps you use Alexa in your organization.
Amazon API Gateway helps developers deliver robust, secure, and scalable mobile and web application back ends.
Use AppConfig, a capability of Amazon Web Services Systems Manager, to create, manage, and quickly deploy application configurations.
Welcome to the Amazon AppFlow API reference.
The Amazon AppIntegrations service enables you to configure and reuse connections to external applications.
Amazon AppStream 2.0 API Reference.
Amazon Athena is an interactive query service that lets you use standard SQL to analyze data directly in Amazon S3.