MLOps · Schema
MLOps Pipeline
Schema describing an end-to-end MLOps pipeline including data engineering, training, validation, deployment, and monitoring stages.
AI OperationsCRISP-ML(Q)DevOpsMachine-LearningML EngineeringML GovernanceML PipelinesModel DeploymentModel MonitoringModel Serving
Properties
| Name | Type | Description |
|---|---|---|
| id | string | |
| name | string | |
| description | string | |
| trigger | string | |
| schedule | string | Cron expression for scheduled triggers. |
| stages | array | |
| owner | string | |
| createdAt | string | |
| updatedAt | string |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/mlops/main/json-schema/mlops-pipeline-schema.json",
"title": "MLOps Pipeline",
"description": "Schema describing an end-to-end MLOps pipeline including data engineering, training, validation, deployment, and monitoring stages.",
"type": "object",
"required": ["name", "stages"],
"properties": {
"id": { "type": "string" },
"name": { "type": "string" },
"description": { "type": "string" },
"trigger": {
"type": "string",
"enum": ["manual", "schedule", "event", "data-change", "code-change"]
},
"schedule": {
"type": "string",
"description": "Cron expression for scheduled triggers."
},
"stages": {
"type": "array",
"items": {
"type": "object",
"required": ["name", "type"],
"properties": {
"name": { "type": "string" },
"type": {
"type": "string",
"enum": ["ingest", "validate", "transform", "train", "evaluate", "register", "deploy", "monitor"]
},
"inputs": { "type": "array", "items": { "type": "string" } },
"outputs": { "type": "array", "items": { "type": "string" } },
"image": { "type": "string", "description": "Container image executing the stage." },
"params": { "type": "object", "additionalProperties": true }
}
}
},
"owner": { "type": "string" },
"createdAt": { "type": "string", "format": "date-time" },
"updatedAt": { "type": "string", "format": "date-time" }
}
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/mlops-pipeline"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.