Amazon SageMaker Feature Store Runtime
cloud:amazonaws-sagemaker-featurestore-runtime · github.com/mermade/aws2openapi ↗
Contains all data plane API operations and data types for the Amazon SageMaker Feature Store. Use this API to put, delete, and retrieve (get) features from a feature store. Use the following operations to configure…
About the Amazon SageMaker Feature Store Runtime API
Amazon SageMaker Feature Store Runtime API on Apizie: 4 endpoints (Retrieves a batch of Records from a FeatureGroup ., Deletes a Record from a FeatureGroup in the OnlineStore . Feature Store supports both SoftDelete and…, Use for OnlineStore serving from a FeatureStore . Only the latest records stored in the OnlineStore can be…, The PutRecord API is used to ingest a list of Records into your feature group. If a new record’s EventTime…) returned as clean JSON through one API key. Send your own provider key in the x-upstream-key header. Call it over REST at https://zieapi.vercel.app/v1/cloud:amazonaws-sagemaker-featurestore-runtime/{endpoint} or from Claude, ChatGPT and Cursor through the Apizie MCP server. Free plan: 1,000 requests a month.
| Project key | cloud:amazonaws-sagemaker-featurestore-runtime |
|---|---|
| Status | Your key |
| Endpoints | 4 |
| Category | Cloud |
| Source | github.com/mermade/aws2openapi |
| Base URL | https://zieapi.vercel.app/v1/cloud:amazonaws-sagemaker-featurestore-runtime/{endpoint} |
| For AI tools | OpenAPI spec · Markdown (what is this?) |
Amazon SageMaker Feature Store Runtime API FAQ
How do I call the Amazon SageMaker Feature Store Runtime API?
Create a free Apizie key, then send POST https://zieapi.vercel.app/v1/cloud:amazonaws-sagemaker-featurestore-runtime/batch-get-record with the header x-api-key. Every endpoint returns { project, data, timestamp }.
Is the Amazon SageMaker Feature Store Runtime API free on Apizie?
Yes. The Free plan includes 1,000 requests a month at 100 requests a minute, no credit card. Amazon SageMaker Feature Store Runtime itself also needs your own key from amazonaws.com.
Can AI agents use the Amazon SageMaker Feature Store Runtime API?
Yes. Add the Apizie MCP server (https://zieapi.vercel.app/mcp) to Claude, ChatGPT, Cursor or VS Code, then ask in plain language. The agent calls run_scraper with project key cloud:amazonaws-sagemaker-featurestore-runtime.
What is the status of the Amazon SageMaker Feature Store Runtime API?
Needs your own provider key (bring your own key)