# MLOps

**Canonical:** https://apis.io/providers/mlops/  
**Website:** https://ml-ops.org/  
**APIs profiled:** 0

MLOps (Machine Learning Operations) is an engineering discipline that unifies machine learning development with operations to deploy, monitor, govern, and maintain machine learning models in production. MLOps.org publishes an end-to-end reference for designing, building, and managing reproducible, testable, and evolvable ML-powered software, including the CRISP-ML(Q) process model, the MLOps Stack Canvas, MLOps principles, and ML model governance practices. This index curates the canonical references, frameworks, and ecosystem resources for practicing MLOps across data engineering, ML pipelines, and model serving.

## Kin Score — 9.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 9.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 11.3 |
| Governance | 9.8 |
| Contract Governance | 9.8 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Mlops Domain Security** — TLSv1.3

## Tags

AI Operations, CRISP-ML(Q), DevOps, Machine-Learning, ML Engineering, ML Governance, ML Pipelines, Model Deployment, Model Monitoring, Model Serving

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/mlops/). Scores are computed from the provider's own public artifacts under a published rubric.