Amazon SageMaker Metrics Service
cloud:amazonaws-sagemaker-metrics · github.com/mermade/aws2openapi ↗
Contains all data plane API operations and data types for Amazon SageMaker Metrics. Use these APIs to put and retrieve (get) features related to your training run. BatchPutMetrics
About the Amazon SageMaker Metrics Service API
Amazon SageMaker Metrics Service API on Apizie: 1 endpoint (Used to ingest training metrics into SageMaker. These metrics can be visualized in SageMaker Studio and…) 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-metrics/{endpoint} or from Claude, ChatGPT and Cursor through the Apizie MCP server. Free plan: 1,000 requests a month.
| Project key | cloud:amazonaws-sagemaker-metrics |
|---|---|
| Status | Your key |
| Endpoints | 1 |
| Category | Cloud |
| Source | github.com/mermade/aws2openapi |
| Base URL | https://zieapi.vercel.app/v1/cloud:amazonaws-sagemaker-metrics/{endpoint} |
| For AI tools | OpenAPI spec · Markdown (what is this?) |
Amazon SageMaker Metrics Service API FAQ
How do I call the Amazon SageMaker Metrics Service API?
Create a free Apizie key, then send POST https://zieapi.vercel.app/v1/cloud:amazonaws-sagemaker-metrics/batch-put-metrics with the header x-api-key. Every endpoint returns { project, data, timestamp }.
Is the Amazon SageMaker Metrics Service API free on Apizie?
Yes. The Free plan includes 1,000 requests a month at 100 requests a minute, no credit card. Amazon SageMaker Metrics Service itself also needs your own key from amazonaws.com.
Can AI agents use the Amazon SageMaker Metrics Service 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-metrics.
What is the status of the Amazon SageMaker Metrics Service API?
Needs your own provider key (bring your own key)