# Kubeflow

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

Kubeflow is an open-source machine learning platform for Kubernetes, designed to make deployments of ML workflows on Kubernetes simple, portable, and scalable. It provides tools for training, serving, tuning, and managing ML models across the full lifecycle.

## Kin Score — 32.9 / 100 (thin)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 32.9).

| Facet | Score |
|---|---|
| Discoverability | 64.8 |
| Contract Quality | 47.6 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 28.9 |
| Developer Ergonomics | 38.1 |
| Commercial Clarity | 15.8 |
| Access Clarity | 15.8 |

## Agent readiness — 23.2 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | documented |
| 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

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

## APIs (8)

- **Kubeflow Metadata API** — API for tracking and managing metadata, artifacts, and lineage for ML workflows running on Kubeflow.
- **Katib API** — Katib is the Kubeflow component for hyperparameter tuning, neural architecture search, and AutoML, exposing a Kubernetes-native API for defining and running tuning experiments.
- **Kubeflow Notebooks API** — API for managing Jupyter notebook server instances within a Kubeflow cluster, providing isolated, browser-based development environments.
- **Kubeflow Central Dashboard API** — API supporting the Kubeflow central dashboard and UI components, which provide a unified interface to all installed Kubeflow components.
- **Kubeflow Experiments API** — Group runs and recurring jobs into logical experiments
- **Kubeflow Health API** — Health and auth checks
- **Kubeflow Pipelines API** — Manage pipeline definitions
- **Kubeflow PipelineVersions API** — Manage versions of pipelines

## MCP servers (1)

- **Kubeflow MCP Server**

## Agentic access (1)

- **Kubeflow Agentic Access** — 13 operations · 5 acting

## Security (2)

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

## Plans (1)

- **Kubeflow Plans Pricing**

## Tags

Artificial Intelligence, Deep Learning, Kubernetes, Machine-Learning, MLOps, Model Serving, Model Training, Open-Source

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