Amazon SageMaker Runtime
cloud:amazonaws-runtime-sagemaker · github.com/mermade/aws2openapi ↗
The Amazon SageMaker runtime API.
About the Amazon SageMaker Runtime API
Amazon SageMaker Runtime API on Apizie: 2 endpoints (After you deploy a model into production using Amazon SageMaker hosting services, your client applications…, After you deploy a model into production using Amazon SageMaker hosting services, your client applications…) 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-runtime-sagemaker/{endpoint} or from Claude, ChatGPT and Cursor through the Apizie MCP server. Free plan: 1,000 requests a month.
| Project key | cloud:amazonaws-runtime-sagemaker |
|---|---|
| Status | Your key |
| Endpoints | 2 |
| Category | Cloud |
| Source | github.com/mermade/aws2openapi |
| Base URL | https://zieapi.vercel.app/v1/cloud:amazonaws-runtime-sagemaker/{endpoint} |
| For AI tools | OpenAPI spec · Markdown (what is this?) |
Amazon SageMaker Runtime API FAQ
How do I call the Amazon SageMaker Runtime API?
Create a free Apizie key, then send POST https://zieapi.vercel.app/v1/cloud:amazonaws-runtime-sagemaker/invoke-endpoint with the header x-api-key. Every endpoint returns { project, data, timestamp }.
Is the Amazon SageMaker 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 Runtime itself also needs your own key from amazonaws.com.
Can AI agents use the Amazon SageMaker 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-runtime-sagemaker.
What is the status of the Amazon SageMaker Runtime API?
Needs your own provider key (bring your own key)