{"name":"SDVM","description":"Audit, fix and refine LLM training data. Python SDK and HTTP API documentation for the Synthetic Data Vending Machine.","url":"https://docs.sdvm.ai/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.sdvm.ai/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.sdvm.ai/","organization":"SDVM"},"documentationUrl":"https://docs.sdvm.ai/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"sdvm","name":"sdvm","description":"Use when auditing training datasets for quality defects, fixing broken samples (text and multiple-choice), or running end-to-end data refinement pipelines. Agents should reach for this skill when working with LLM training data that needs grammar/spelling fixes, label corrections, distractor quality checks, or dataset-level quality analysis.","tags":[],"url":"https://docs.sdvm.ai/.well-known/agent-skills/sdvm/skill.md"}]}