# MLflow

**Canonical:** https://apis.io/providers/mlflow/  
**Website:** https://mlflow.org/  
**APIs profiled:** 8

MLflow is an Apache 2.0 open-source platform for the end-to-end ML and GenAI lifecycle: tracking, model registry, deployment, evaluation, traces, prompts, and GenAI gateway. The tracking server exposes a REST API under `/api/2.0/mlflow`.

## Kin Score — 31.6 / 100 (thin)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 31.6).

| Facet | Score |
|---|---|
| Discoverability | 81.5 |
| Contract Quality | 44.9 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 36.8 |
| Developer Ergonomics | 23.8 |
| Commercial Clarity | 13.2 |
| Access Clarity | 13.2 |

## Agent readiness — 21.5 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | documented |
| MCP Server | no |
| Auth Clarity | bearer |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: high).

## APIs (8)

- **MLflow REST API** — The MLflow tracking server exposes a REST API for experiments, runs, parameters, metrics, tags, registered models, model versions, model aliases, and artifacts, plus newer endpo...
- **MLflow AI Gateway API** — The MLflow AI Gateway provides a unified HTTP interface to LLM providers with routing, rate-limiting, and secret management features.
- **MLflow Artifacts API** — List and obtain presigned URLs for run artifacts.
- **MLflow Experiments API** — Manage MLflow experiments.
- **MLflow Metrics API** — Log and retrieve metric history for runs.
- **MLflow Model Versions API** — Manage versions of registered models.
- **MLflow Registered Models API** — Manage registered models in the MLflow Model Registry.
- **MLflow Runs API** — Create and manage runs within an experiment.

## Agentic access (1)

- **Mlflow Agentic Access** — 23 operations · 17 acting

## Security (2)

- **Mlflow Authentication** — http · 1 scheme
- **Mlflow Domain Security** — TLSv1.3

## Plans (1)

- **Mlflow Plans Pricing**

## Tags

ML, MLOps, GenAI, Experiment Tracking, Open-Source

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