ZenML

ZenML is an open-source MLOps and LLMOps framework that unifies machine learning and generative AI workflows through a single orchestration, versioning, and governance layer. It provides a Python SDK, CLI, REST API, and server for managing pipelines, stacks, artifacts, models, and deployments across any infrastructure backend, with 60+ integrations spanning orchestrators, ML frameworks, GenAI tools, cloud storage, and experiment tracking platforms.

ZenML publishes 14 API contracts indexed on the APIs.io network, including Artifacts API, Auth API, Deployments API, and 11 more. Tagged areas include Artificial Intelligence, Machine Learning, MLOps, LLMOps, and Pipelines.

The ZenML catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

ZenML’s developer surface includes authentication, developer portal, documentation, getting-started guide, changelog, pricing, engineering blog, and 42 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

58.6/100 strong ▬ flat Agent 35/100 agent ready Front door AI 6/6 dominant Heartbeat 92/100 alive open core · Apache-2.0 Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 2 MCP Servers

Artificial Intelligence Machine Learning MLOps LLMOps Pipelines Open Source Python

What this lets a business do 2

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

ArtifactsModelsPipeline RunsPipelines

POST /pipelines

Software Release & Deployment Management

BC-4210

Secrets

GET /secrets POST /secrets

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 58.6/100 · strong

Contract Quality 9.1 / 16

Developer Ergonomics 8.7 / 13

Access Clarity 6.8 / 13

Operational Transparency 4.7 / 8

Contract Governance 1.1 / 8

Discoverability 4.3 / 7

Regulatory Posture 3.4 / 15

Open Source Surface 10.0 / 10

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 35/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 56.2 — up to +11.0 composite points
Contract Governance scores 13.6 — up to +10.4 composite points
Access Clarity scores 52.6 — up to +9.5 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/zenml/apis.yml: open an issue on github.com/api-evangelist/zenml to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
MLOps and AI/ML Infrastructure (LF AI & Data, MLPerf, Kubeflow)	builds-on	51.7	-	1
Agent Skills (SKILL.md packages)	builds-on	51.7	-	1
IDE Extension Marketplaces (JetBrains, VS Code, Open VSX, Docker Verified Publishers, PyPI orgs)	builds-on	51.7	-	1
Hugging Face Hub Organisations	builds-on	51.7	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OpenAPI

measured — observed by APIs.io (published)

APIs 14

Individual APIs this provider publishes, each with its own machine-readable definition.

ZenML Pro REST API

The ZenML Pro REST API extends the OSS API with managed control-plane features for teams, including organization and tenant management, role-based access control, audit logs, an...

ZenML Artifacts API

Artifact metadata and versions produced by pipeline runs

ZenML Auth API

Authentication and token management

ZenML Deployments API

Pipeline deployments

ZenML Models API

Registered models and their versions

ZenML Pipeline Runs API

Pipeline run instances and their steps

ZenML Pipelines API

ML pipeline definitions

ZenML Projects API

Project workspaces

ZenML Schedules API

Scheduled pipeline runs

ZenML Secrets API

Encrypted secret storage

ZenML Service Connectors API

Connectors to external infrastructure providers

ZenML Stack Components API

Individual stack components such as orchestrators, artifact stores, and experiment trackers

ZenML Stacks API

ZenML stacks and their components

ZenML Users API

User accounts

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Postman Collections 1

Ready-to-run Postman collections for exercising this provider's APIs.

ZenML OSS REST API

POSTMAN

Open Collections 14

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

ZenML OSS REST Artifacts API

OPEN COLLECTION

ZenML OSS REST Artifacts Auth API

OPEN COLLECTION

ZenML OSS REST Artifacts Deployments API

OPEN COLLECTION

ZenML OSS REST Artifacts Models API

OPEN COLLECTION

ZenML OSS REST Artifacts Pipeline Runs API

OPEN COLLECTION

ZenML OSS REST Artifacts Pipelines API

OPEN COLLECTION

ZenML OSS REST Artifacts Projects API

OPEN COLLECTION

ZenML OSS REST Artifacts Schedules API

OPEN COLLECTION

ZenML OSS REST Artifacts Secrets API

OPEN COLLECTION

ZenML OSS REST Artifacts Service Connectors API

OPEN COLLECTION

ZenML OSS REST Artifacts Stack Components API

OPEN COLLECTION

ZenML OSS REST Artifacts Stacks API

OPEN COLLECTION

ZenML OSS REST Artifacts Users API

OPEN COLLECTION

ZenML OSS REST API

OPEN COLLECTION

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Arazzo Workflows 12

Multi-step API workflows described with the Arazzo specification.

ZenML Audit Pipeline Runs

Walk from a named pipeline to its run history and drill into the most recent run.

ARAZZO

ZenML Authenticate and List Pipelines

Exchange credentials for a token, confirm the session identity, and list pipelines.

ARAZZO

ZenML Bootstrap Project Pipeline

Identify the caller, resolve a project workspace, register a pipeline, and confirm it.

ARAZZO

ZenML Inspect Run Artifacts

Select a pipeline run, confirm it succeeded, and inspect an artifact produced in the deployment.

ARAZZO

ZenML Inspect Stack Topology

Pick a stack, read its component wiring, and cross-reference the component catalog.

ARAZZO

ZenML Monitor Pipeline Run

Find the latest run of a pipeline, poll its status to completion, and branch on success or failure.

ARAZZO

ZenML Provision Pipeline

Resolve a project, register a new pipeline in it, and confirm the pipeline was created.

ARAZZO

ZenML Provision Secret

Confirm the caller identity, create a scoped secret, and confirm it appears in the secret store.

ARAZZO

ZenML Register Model

ARAZZO

ZenML Register Stack

Discover available stack components, assemble them into a new stack, and confirm the stack was created.

ARAZZO

ZenML Trace Deployment Runs

Select a pipeline deployment, resolve its pipeline, and read the latest run it produced.

ARAZZO

ZenML Track Scheduled Pipeline

Resolve a schedule, find the run it produced for its pipeline, and read that run.

ARAZZO

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MCP Servers 2

Model Context Protocol servers that expose these APIs to AI agents.

MCP Server

MCP SERVER

ZenML MCP Server

Remote MCP server at docs.zenml.io over HTTP; 4 tools listed.

MCP SERVER

ZenML API pricing

Prices published by ZenML, read 2026-10-28 from www.zenml.io/pro.

Plan	Price
ZenML Pro	Book a demo

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against ZenML's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Zenml Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Zenml Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

ZenML

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Zenml Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Zenml Context

23 classes · 3 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

ZenML — jsonschema rules

5 rules · 4 warn-severity 1 info-severity

SPECTRAL

ZenML API Rules

6 rules · 2 error-severity 3 warn-severity 1 info-severity

SPECTRAL

JSON Schema 5

Standalone JSON Schema definitions for this provider's data models.

ZenML Artifact

8 properties

JSON SCHEMA

ZenML Model

10 properties

JSON SCHEMA

ZenML Pipeline Run

9 properties

JSON SCHEMA

ZenML Pipeline

9 properties

JSON SCHEMA

ZenML Stack

6 properties

JSON SCHEMA

JSON Structure 2

JSON Structure definitions describing this provider's data shapes.

Zenml Pipeline Run Structure

7 properties

JSON STRUCTURE

Zenml Pipeline Structure

8 properties

JSON STRUCTURE

Examples 3

Example request and response payloads for these APIs.

Zenml Create Stack Example

2 fields

EXAMPLE

Zenml Get Pipeline Run Example

2 fields

EXAMPLE

Zenml List Pipelines Example

2 fields

EXAMPLE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Zenml Authentication

http · 1 scheme

SECURITY

Zenml Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Zenml Agentic Access

25 operations · 7 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal

Portal

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

MCPServer

AgentSkills

LlmsText

Design & Contract 13

Pagination, idempotency, versioning, errors, and events

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

JSONLD

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Build 6

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

PostmanWorkspace

PostmanWorkspace

GitHubRepository

GitHubRepository

GitHubOrganization

GitHubOrganization

SDKs

SDKs

SDKs

SDKs

Access & Security 3

Authentication, authorization, and security posture

SecurityPolicy

SecurityPolicy

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 6

Status, limits, changes, and where to get help

RateLimits

IssueTracker

Releases

ChangeLog

StatusPage

ReleaseNotes

Commercial 6

Pricing, plans, and the legal terms of use

Plans

FinOps

License

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Other 4

Properties that don't map to a standard resource type

CapabilityMap

Resources

Resources

Resources

Source (apis.yml)

aid: zenml
name: ZenML
description: ZenML is an open-source MLOps and LLMOps framework that unifies machine learning and generative AI workflows
  through a single orchestration, versioning, and governance layer. It provides a Python SDK, CLI, REST API, and server for
  managing pipelines, stacks, artifacts, models, and deployments across any infrastructure backend, with 60+ integrations
  spanning orchestrators, ML frameworks, GenAI tools, cloud storage, and experiment tracking platforms.
type: Index
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/zenml.png
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-17
tags:
- Artificial Intelligence
- Machine Learning
- MLOps
- LLMOps
- Pipelines
- Open Source
- Python
tags_raw:
- AI
- Machine Learning
- MLOps
- LLMOps
- Pipelines
- Open Source
- Python
- Machine-Learning
- Open-Source
created: '2025-02-08'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/zenml/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: zenml:zenml-pro-api
  name: ZenML Pro REST API
  description: The ZenML Pro REST API extends the OSS API with managed control-plane features for teams, including organization
    and tenant management, role-based access control, audit logs, and enterprise governance.
  humanURL: https://docs.zenml.io/api-reference/pro-api
  tags:
  - MLOps
  - Enterprise
  - Governance
  properties:
  - type: Documentation
    url: https://docs.zenml.io/api-reference/pro-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/pro-api
  - type: Authentication
    url: https://docs.zenml.io/pro/core-concepts/access-control
- aid: zenml:zenml-artifacts-api
  name: ZenML Artifacts API
  description: Artifact metadata and versions produced by pipeline runs
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Artifacts
  properties:
  - type: OpenAPI
    url: openapi/zenml-artifacts-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-auth-api
  name: ZenML Auth API
  description: Authentication and token management
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Authentication
  tags_raw:
  - Auth
  properties:
  - type: OpenAPI
    url: openapi/zenml-auth-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-deployments-api
  name: ZenML Deployments API
  description: Pipeline deployments
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Deployment
  tags_raw:
  - Deployments
  properties:
  - type: OpenAPI
    url: openapi/zenml-deployments-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-models-api
  name: ZenML Models API
  description: Registered models and their versions
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/zenml-models-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-pipeline-runs-api
  name: ZenML Pipeline Runs API
  description: Pipeline run instances and their steps
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Pipeline Runs
  properties:
  - type: OpenAPI
    url: openapi/zenml-pipeline-runs-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-pipelines-api
  name: ZenML Pipelines API
  description: ML pipeline definitions
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Pipelines
  properties:
  - type: OpenAPI
    url: openapi/zenml-pipelines-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-projects-api
  name: ZenML Projects API
  description: Project workspaces
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Project
  tags_raw:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/zenml-projects-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-schedules-api
  name: ZenML Schedules API
  description: Scheduled pipeline runs
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Schedule
  tags_raw:
  - Schedules
  properties:
  - type: OpenAPI
    url: openapi/zenml-schedules-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-secrets-api
  name: ZenML Secrets API
  description: Encrypted secret storage
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Secrets
  properties:
  - type: OpenAPI
    url: openapi/zenml-secrets-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-service-connectors-api
  name: ZenML Service Connectors API
  description: Connectors to external infrastructure providers
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Service Connectors
  properties:
  - type: OpenAPI
    url: openapi/zenml-service-connectors-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-stack-components-api
  name: ZenML Stack Components API
  description: Individual stack components such as orchestrators, artifact stores, and experiment trackers
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Stack Components
  properties:
  - type: OpenAPI
    url: openapi/zenml-stack-components-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-stacks-api
  name: ZenML Stacks API
  description: ZenML stacks and their components
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - Stacks
  properties:
  - type: OpenAPI
    url: openapi/zenml-stacks-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
- aid: zenml:zenml-users-api
  name: ZenML Users API
  description: User accounts
  humanURL: https://docs.zenml.io/api-reference/oss-api
  tags:
  - User
  tags_raw:
  - Users
  properties:
  - type: OpenAPI
    url: openapi/zenml-users-api-openapi.yml
  - type: Documentation
    url: https://docs.zenml.io/api-reference/oss-api
  - type: APIReference
    url: https://docs.zenml.io/api-reference/oss-api
  - type: GettingStarted
    url: https://docs.zenml.io/getting-started/installation
  - type: Authentication
    url: https://docs.zenml.io/getting-started/deploying-zenml
  - type: SDKs
    url: https://docs.zenml.io/sdk-reference
  - type: GitHubRepository
    url: https://github.com/zenml-io/zenml
  - type: JSONSchema
    url: json-schema/zenml-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/zenml-pipeline-run-schema.json
  - type: JSONSchema
    url: json-schema/zenml-stack-schema.json
  - type: JSONSchema
    url: json-schema/zenml-model-schema.json
  - type: JSONSchema
    url: json-schema/zenml-artifact-schema.json
  - type: CodeExamples
    url: examples/zenml-list-pipelines-example.json
  - type: CodeExamples
    url: examples/zenml-get-pipeline-run-example.json
  - type: CodeExamples
    url: examples/zenml-create-stack-example.json
common:
- type: Plans
  url: plans/zenml-plans-pricing.yml
- type: RateLimits
  url: rate-limits/zenml-rate-limits.yml
- type: FinOps
  url: finops/zenml-finops.yml
- type: CapabilityMap
  url: capabilities/zenml-capability-edges.yml
  name: ZenML Business Capability Map
- type: Website
  url: https://www.zenml.io/
- type: IssueTracker
  url: https://github.com/zenml-io/zenml/issues
- type: Releases
  url: https://github.com/zenml-io/zenml/releases
- type: SecurityPolicy
  url: https://github.com/zenml-io/zenml/blob/main/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/zenml-io/zenml/blob/main/CODE-OF-CONDUCT.md
- type: ContributionGuide
  url: https://github.com/zenml-io/zenml/blob/main/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/zenml-io/zenml/blob/main/LICENSE
- type: AgenticAccess
  url: agentic-access/zenml-agentic-access.yml
- type: DomainSecurity
  url: security/zenml-domain-security.yml
- type: Authentication
  url: authentication/zenml-authentication.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/zenml/overview
- type: Arazzo
  url: arazzo/zenml-audit-pipeline-runs-workflow.yml
  name: ZenML Audit Pipeline Runs
- type: Arazzo
  url: arazzo/zenml-authenticate-and-list-pipelines-workflow.yml
  name: ZenML Authenticate and List Pipelines
- type: Arazzo
  url: arazzo/zenml-bootstrap-project-pipeline-workflow.yml
  name: ZenML Bootstrap Project Pipeline
- type: Arazzo
  url: arazzo/zenml-inspect-run-artifacts-workflow.yml
  name: ZenML Inspect Run Artifacts
- type: Arazzo
  url: arazzo/zenml-inspect-stack-topology-workflow.yml
  name: ZenML Inspect Stack Topology
- type: Arazzo
  url: arazzo/zenml-monitor-pipeline-run-workflow.yml
  name: ZenML Monitor Pipeline Run
- type: Arazzo
  url: arazzo/zenml-provision-pipeline-workflow.yml
  name: ZenML Provision Pipeline
- type: Arazzo
  url: arazzo/zenml-provision-secret-workflow.yml
  name: ZenML Provision Secret
- type: Arazzo
  url: arazzo/zenml-register-model-workflow.yml
  name: ZenML Register Model
- type: Arazzo
  url: arazzo/zenml-register-stack-workflow.yml
  name: ZenML Register Stack
- type: Arazzo
  url: arazzo/zenml-trace-deployment-runs-workflow.yml
  name: ZenML Trace Deployment Runs
- type: Arazzo
  url: arazzo/zenml-track-scheduled-pipeline-workflow.yml
  name: ZenML Track Scheduled Pipeline
- type: LinkedIn
  url: https://www.linkedin.com/company/zenml
- url: https://www.zenml.io/
  name: ZenML - The AI Control Plane
  type: Portal
- url: https://docs.zenml.io/
  name: ZenML Documentation
  type: Documentation
- url: https://docs.zenml.io/getting-started/installation
  name: Get Started with ZenML
  type: GettingStarted
- url: https://docs.zenml.io/changelog/server-sdk
  name: ZenML Server & SDK Changelog
  type: ChangeLog
- url: https://github.com/zenml-io/zenml
  name: ZenML GitHub Repository
  type: GitHubRepository
- url: https://github.com/zenml-io
  name: ZenML GitHub Organization
  type: GitHubOrganization
- url: https://www.zenml.io/pro
  name: ZenML Pro - Managed MLOps
  type: Pricing
- url: https://www.zenml.io/integrations
  name: ZenML Integrations
  type: Integrations
- url: https://www.zenml.io/blog
  name: ZenML Blog
  type: Blog
- url: https://status.zenml.io/
  name: ZenML Status Page
  type: StatusPage
- url: https://www.zenml.io/careers
  name: ZenML Careers
  type: Resources
- url: https://www.zenml.io/terms-of-service
  name: ZenML Terms of Service
  type: TermsOfService
- url: https://www.zenml.io/privacy-policy
  name: ZenML Privacy Policy
  type: PrivacyPolicy
- url: https://pypi.org/project/zenml/
  name: ZenML on PyPI
  type: SDKs
- url: https://docs.zenml.io/sdk-reference
  name: ZenML Python SDK Reference
  type: SDKs
- url: https://github.com/zenml-io/zenml/releases
  name: ZenML Releases
  type: ReleaseNotes
- url: json-ld/zenml-context.jsonld
  name: ZenML JSON-LD Context
  type: JSONLD
- url: vocabulary/zenml-vocabulary.yml
  name: ZenML Vocabulary
  type: Resources
- url: rules/zenml-rules.yml
  name: ZenML Spectral Rules
  type: Resources
- name: MCP Server
  url: https://github.com/zenml-io/mcp-zenml
  type: MCPServer
- name: Agent Skills
  url: https://www.zenml.io/blog/introducing-zenml-agent-skills-let-ai-upgrade-your-mlops-setup-in-minutes
  type: AgentSkills
- type: LlmsText
  url: https://docs.zenml.io/llms.txt
integrations:
- name: Amazon S3 Artifact Store
- name: Apache Airflow Orchestrator
- name: Argilla Data Annotator
- name: AutoGen Agents
- name: AWS Cloud Infrastructure
- name: AWS Strands Agents
- name: Azure Blob Storage Artifact Store
- name: Azure Container Registry Container Registry
- name: AzureML Pipelines Orchestrator
- name: BentoML Deployer
- name: Comet Experiment Tracker
- name: CrewAI Agents
- name: Databricks Orchestrator
- name: Databricks Deployment Deployer
- name: Deepchecks Data Validator
- name: Discord Alerter
- name: Docker Orchestrator
- name: Elastic Container Registry Container Registry
- name: Evidently Data Validator
- name: Facets Data Visualization
- name: Feast Feature Store
- name: Github Actions Orchestrator
- name: GitHub Container Registry Container Registry
- name: Google ADK Agent Agents
- name: Google Artifact Registry Container Registry
- name: Google Cloud Cloud Infrastructure
- name: Google Cloud Storage (GCS) Artifact Store
- name: Google Cloud Vertex AI Pipelines Orchestrator
- name: Great Expectations Data Validator
- name: Haystack Agents
- name: Hugging Face Modeling
- name: Hugging Face (Inference Endpoints) Deployer
- name: HyperAI Orchestrator
- name: Kaniko Image Builder
- name: Kubeflow Orchestrator
- name: Kubernetes Orchestrator
- name: Label Studio Data Annotator
- name: LangChain Agents
- name: LangGraph Agents
- name: LightGBM Modeling
- name: Lightning AI Orchestrator
- name: LlamaIndex Agents
- name: Microsoft Azure Cloud Infrastructure
- name: MLflow Experiment Tracker
- name: Modal Orchestrator
- name: Neptune Experiment Tracker
- name: NeuralProphet Modeling
- name: OpenAI Agents SDK Agents
- name: Pigeon Data Annotator
- name: Pillow Modeling
- name: Prodigy Data Annotator
- name: PydanticAI Agents
- name: PyTorch Modeling
- name: PyTorch Lightning Modeling
- name: Sagemaker Pipelines Orchestrator
- name: Seldon Deployer
- name: Semantic Kernel Agents
- name: Skypilot VM Orchestrator
- name: Slack Alerter
- name: Tekton Orchestrator
- name: TensorBoard Experiment Tracker
- name: TensorFlow Modeling
- name: Weights & Biases Experiment Tracker
- name: WhyLabs whylogs Data Validator
- name: XGBoost Modeling
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

ZenML API — frequently asked questions

Does ZenML have an API?

Yes. APIs.io lists 14 APIs from ZenML, including ZenML Pro REST API, ZenML Artifacts API and ZenML Auth API, and 11 more.

Is there an OpenAPI specification for the ZenML API?

Yes. APIs.io indexes 13 OpenAPI specifications for ZenML, each linked for download from this page.

How do I authenticate with the ZenML API?

ZenML uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Zenml Authentication.

How much does the ZenML API cost?

ZenML publishes its prices; its ZenML Pro plan is Book a demo as of 2026-10-28. APIs.io lists 1 pricing plan for ZenML, with each plan's price, limits and inclusions under Pricing on this page.

Does ZenML have an MCP server?

Yes. APIs.io lists 2 MCP servers for ZenML: Remote MCP server at docs.zenml.io over HTTP; 4 tools listed.

Is the ZenML API ready for AI agents?

ZenML has a Kin Score of 58.6 out of 100 (strong) and an Agent Readiness score of 35.2 (agent-ready), scored by API Evangelist on 2026-11-06.

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