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 13 APIs on the APIs.io network, including Artifacts API, Auth API, Deployments API, and 10 more. Tagged areas include AI, 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 33 more developer resources.
Kin Score
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
POSTMANOpen Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
ZenML OSS REST API
OPEN COLLECTIONArazzo 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.
ARAZZOZenML Authenticate and List Pipelines
Exchange credentials for a token, confirm the session identity, and list pipelines.
ARAZZOZenML Bootstrap Project Pipeline
Identify the caller, resolve a project workspace, register a pipeline, and confirm it.
ARAZZOZenML Inspect Run Artifacts
Select a pipeline run, confirm it succeeded, and inspect an artifact produced in the deployment.
ARAZZOZenML Inspect Stack Topology
Pick a stack, read its component wiring, and cross-reference the component catalog.
ARAZZOZenML Monitor Pipeline Run
Find the latest run of a pipeline, poll its status to completion, and branch on success or failure.
ARAZZOZenML Provision Pipeline
Resolve a project, register a new pipeline in it, and confirm the pipeline was created.
ARAZZOZenML Provision Secret
Confirm the caller identity, create a scoped secret, and confirm it appears in the secret store.
ARAZZOZenML Register Model
Register a new model in the model control plane and enumerate its versions.
ARAZZOZenML Register Stack
Discover available stack components, assemble them into a new stack, and confirm the stack was created.
ARAZZOZenML Trace Deployment Runs
Select a pipeline deployment, resolve its pipeline, and read the latest run it produced.
ARAZZOZenML Track Scheduled Pipeline
Resolve a schedule, find the run it produced for its pipeline, and read that run.
ARAZZOScroll for all 12
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
MCP Server
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Zenml Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Zenml Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Zenml Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Zenml Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
ZenML API Rules
SPECTRALZenML API Rules
SPECTRALJSON Schema 5
Standalone JSON Schema definitions for this provider's data models.
ZenML Artifact
JSON SCHEMAZenML Model
JSON SCHEMAZenML Pipeline Run
JSON SCHEMAZenML Pipeline
JSON SCHEMAZenML Stack
JSON SCHEMAJSON Structure 2
JSON Structure definitions describing this provider's data shapes.
Zenml Pipeline Run Structure
JSON STRUCTUREZenml Pipeline Structure
JSON STRUCTUREExamples 3
Example request and response payloads for these APIs.
Zenml Create Stack Example
EXAMPLEZenml List Pipelines Example
EXAMPLESecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 13
Pagination, idempotency, versioning, errors, and events
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Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 5
Properties that don't map to a standard resource type