Databricks
Collection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Databricks the way a machine reads it — 263 machine-readable artifacts across 57 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Databricks scores 75.0/100 (exemplar), with a separate agent-readiness read of 64/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Databricks
Each block below is one kind of artifact we hold for Databricks. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 57
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Databricks
Databricks is a cloud-based data platform that simplifies and accelerates the process of preparing and analyzing large volumes of data. The platform integrates with popular data...
Databricks DBFS API
The Databricks File System (DBFS) API is a distributed file system mounted into a Databricks workspace and available on Databricks clusters. The API enables you to interact with...
Databricks SQL Warehouses API
The Databricks SQL Warehouses API allows you to create, edit, list, start, stop, and delete SQL warehouses. SQL warehouses are compute resources that enable you to run SQL comma...
Databricks Pipelines API
The Databricks Pipelines API allows you to create, edit, delete, start, and stop Delta Live Tables pipelines. Delta Live Tables is a declarative framework for building reliable,...
Databricks Serving Endpoints API
The Databricks Serving Endpoints API allows you to create, update, query, and delete model serving endpoints. Mosaic AI Model Serving provides a unified interface to deploy, gov...
Databricks Secrets API
The Databricks Secrets API allows you to manage secrets, secret scopes, and secret ACLs. Secrets provide a secure way to store and reference credentials and other sensitive info...
Databricks Instance Pools API
The Databricks Instance Pools API allows you to create, edit, delete, and list instance pools. Instance pools reduce cluster start and auto-scaling times by maintaining a set of...
Databricks Token Management API
The Databricks Token Management API enables workspace administrators to manage personal access tokens for users and service principals. It allows creating, listing, and revoking...
Databricks Catalogs API
The Databricks Catalogs API is part of Unity Catalog and allows you to create, update, list, and delete catalogs. Catalogs are the top-level container for data objects in Unity ...
Databricks Vector Search Indexes API
The Databricks Vector Search Indexes API allows you to create, manage, query, and delete vector search indexes. Vector Search enables you to store vector representations of your...
Databricks Model Versions API
The Databricks Model Versions API allows you to manage model versions within the Unity Catalog model registry. It provides programmatic access to create, update, list, and delet...
Databricks Permissions API
The Databricks Permissions API allows you to manage permissions on workspace objects such as clusters, jobs, notebooks, and SQL warehouses. It provides programmatic access to ge...
Databricks Repos API
The Databricks Repos API allows you to manage Git repositories within a Databricks workspace. It provides programmatic access to create, update, delete, and list repos, as well ...
Databricks Git Credentials API
The Databricks Git Credentials API allows you to manage Git credentials for authenticating with Git providers. It provides programmatic access to create, update, delete, and lis...
Databricks Cluster Policies API
The Databricks Cluster Policies API allows administrators to create, edit, delete, and list cluster policies. Cluster policies limit the ability to configure clusters based on a...
Databricks Libraries API
The Databricks Libraries API allows you to install, uninstall, and list libraries on clusters. It provides programmatic management of Python, Java, Scala, and R library dependen...
Databricks Global Init Scripts API
The Databricks Global Init Scripts API enables workspace administrators to manage global initialization scripts that run on every cluster in the workspace. It provides programma...
Databricks Command Execution API
The Databricks Command Execution API allows you to execute Python, Scala, SQL, or R commands on running Databricks clusters. It provides programmatic access to create execution ...
Databricks Statement Execution API
The Databricks Statement Execution API allows you to execute SQL statements on Databricks SQL warehouses and retrieve results. It provides a synchronous and asynchronous interfa...
Databricks Queries API
The Databricks Queries API allows you to create, update, delete, list, and run saved SQL queries in Databricks SQL. It provides programmatic management of SQL query objects, ena...
Databricks Alerts API
The Databricks Alerts API allows you to create, update, delete, and list alerts in Databricks SQL. Alerts automate query execution, evaluate custom conditions, and deliver notif...
Databricks Schemas API
The Databricks Schemas API is part of Unity Catalog and allows you to create, update, list, and delete schemas. Schemas, also known as databases, reside within catalogs and cont...
Databricks Tables API
The Databricks Tables API is part of Unity Catalog and allows you to create, update, list, and delete tables. Tables reside within schemas and represent structured data assets, ...
Databricks Volumes API
The Databricks Volumes API is part of Unity Catalog and allows you to create, update, list, and delete volumes. Volumes provide a governed location for storing and accessing non...
Databricks Functions API
The Databricks Functions API is part of Unity Catalog and allows you to create, list, and delete user-defined functions. Functions reside within schemas and can be used in SQL q...
Databricks Grants API
The Databricks Grants API is part of Unity Catalog and allows you to get, update, and manage permissions on Unity Catalog securable objects. It provides programmatic control ove...
Databricks External Locations API
The Databricks External Locations API is part of Unity Catalog and allows you to create, update, list, and delete external locations. External locations combine a cloud storage ...
Databricks Storage Credentials API
The Databricks Storage Credentials API is part of Unity Catalog and allows you to create, update, list, and delete storage credentials. Storage credentials contain long-term clo...
Databricks Metastores API
The Databricks Metastores API is part of Unity Catalog and allows you to create, update, list, and delete metastores. A metastore is the top-level container of objects in Unity ...
Databricks Connections API
The Databricks Connections API is part of Unity Catalog and allows you to create, update, list, and delete connections to external data sources. Connections enable federated que...
Databricks Registered Models API
The Databricks Registered Models API allows you to create, update, list, and delete registered models in the Unity Catalog model registry. It provides centralized model lifecycl...
Databricks Experiments API
The Databricks Experiments API allows you to create, update, list, and manage MLflow experiments. Experiments are the primary unit of organization in MLflow, grouping runs that ...
Databricks Online Tables API
The Databricks Online Tables API allows you to create, get, and delete online tables. Online tables are materialized copies of Delta tables optimized for low-latency lookups, en...
Databricks Quality Monitors API
The Databricks Quality Monitors API allows you to create, update, get, and delete data quality monitors for tables. Quality monitors enable automated data profiling and anomaly ...
Databricks Vector Search Endpoints API
The Databricks Vector Search Endpoints API allows you to create, list, get, and delete vector search endpoints. Vector search endpoints are compute resources that host vector se...
Databricks Shares API
The Databricks Shares API is part of Delta Sharing and allows you to create, update, list, and delete shares. A share is a read-only logical collection of tables and table parti...
Databricks Recipients API
The Databricks Recipients API is part of Delta Sharing and allows you to create, update, list, and delete recipients. A recipient is an entity that receives shared data from a p...
Databricks Providers API
The Databricks Providers API is part of Delta Sharing and allows you to create, update, list, and delete data providers. Providers represent organizations that share data throug...
Databricks Clean Rooms API
The Databricks Clean Rooms API allows you to create, update, list, and delete clean rooms. Clean rooms use Delta Sharing and serverless compute to provide a secure and privacy-p...
Databricks Notification Destinations API
The Databricks Notification Destinations API allows you to create, update, list, and delete notification destinations for a workspace. Notification destinations define where ale...
Databricks Apps API
The Databricks Apps API allows you to create, deploy, manage, and delete Databricks Apps. Apps run directly on a Databricks workspace, integrating with workspace data and servic...
Databricks Lakeview API
The Databricks Lakeview API allows you to create, update, get, list, and delete AI/BI dashboards. Lakeview dashboards provide a modern visualization experience built on top of D...
Databricks Files API
The Databricks Files API provides a standard HTTP interface for reading, writing, listing, and deleting files and directories in Unity Catalog volumes and other workspace storag...
Databricks Tokens API
The Databricks Tokens API allows you to create, list, and revoke personal access tokens. Personal access tokens are used to authenticate with the Databricks REST API and integra...
Databricks IP Access Lists API
The Databricks IP Access Lists API allows administrators to configure IP allow lists and block lists for a workspace. It provides programmatic management of network security rul...
Databricks Current User API
The Databricks Current User API allows you to retrieve information about the currently authenticated user or service principal. It returns identity details including username, d...
Databricks Groups API
The Databricks Groups API allows you to create, update, list, and delete groups in a workspace. Groups simplify identity management by enabling administrators to assign access p...
Databricks Service Principals API
The Databricks Service Principals API allows you to create, update, list, and delete service principals in a workspace. Service principals are identities for automated tools, jo...
Databricks Users API
The Databricks Users API allows you to create, update, list, and delete users in a workspace. It provides programmatic management of user identities and their workspace access, ...
Databricks Dashboards API
The Databricks Dashboards API allows you to create, update, list, and delete legacy SQL dashboards. Dashboards provide visual representations of query results, enabling business...
Databricks Model Registry API
The Databricks Model Registry API provides the workspace model registry for managing the full lifecycle of ML models. It enables creating registered models, managing model versi...
Databricks Workspace Bindings API
The Databricks Workspace Bindings API allows you to manage the binding of Unity Catalog securables to specific workspaces. It enables configuring whether catalogs and other obje...
Databricks System Schemas API
The Databricks System Schemas API allows you to enable, disable, and list system schemas within a metastore. System schemas contain system tables that provide operational data a...
Databricks Table Constraints API
The Databricks Table Constraints API allows you to create and delete primary key and foreign key constraints on Unity Catalog tables. Table constraints define relationships betw...
Databricks Clusters API
Manage Databricks clusters for running data engineering and data science workloads on Apache Spark.
Databricks Jobs API
Create and manage automated workloads including notebooks, JARs, Python scripts, and multi-task workflows.
Databricks Workspace API
Manage workspace objects such as notebooks, folders, and libraries.
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Postman Collections 1
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Databricks REST API
POSTMANOpen Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Databricks REST API
OPEN COLLECTIONArazzo Workflows 23
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Databricks Audit Cluster Lifecycle Events
Resolve a cluster's current state, then pull its recent lifecycle events.
ARAZZODatabricks Cancel a Job's Active Run
Find a job's active run and cancel it, then confirm cancellation.
ARAZZODatabricks Cancel Job Run and Confirm Terminal
Cancel an active run and poll until it reaches a terminal state.
ARAZZODatabricks Inspect and Recursively Delete a Directory
List a workspace directory's contents, then recursively delete it.
ARAZZODatabricks Clone a Job From an Existing One
Read an existing job's settings and create a new job that reuses them.
ARAZZODatabricks Create Job and Trigger First Run
Create a new job from settings, then immediately trigger its first run.
ARAZZODatabricks Drain Active Runs Then Delete Job
Cancel a job's active run if present, then delete the job and its runs.
ARAZZODatabricks Edit Cluster Configuration and Verify
Read a cluster, apply edited configuration, and poll until RUNNING.
ARAZZODatabricks Export a Notebook and Re-Import as a Copy
Export a notebook's content and re-import it to a new workspace path.
ARAZZODatabricks Find Terminated Cluster by Name and Start It
Resolve a cluster by name from the list, then start it if terminated.
ARAZZODatabricks Find Job by Name and Run It
Look up a job by exact name, then trigger an immediate run of it.
ARAZZODatabricks Create Directory and Import Notebook
Create a workspace directory, import a notebook into it, then verify status.
ARAZZODatabricks Fetch Latest Completed Run Output for a Job
Find a job's most recent completed run and retrieve its output.
ARAZZODatabricks Provision Cluster Then Create Job On It
Create a cluster, wait until RUNNING, then create a job bound to that cluster.
ARAZZODatabricks Provision Cluster and Wait Until Running
Create a Spark cluster and poll its state until it reaches RUNNING.
ARAZZODatabricks Restart Cluster and Verify Running
Restart a running cluster and poll until it returns to RUNNING.
ARAZZODatabricks Run Job, Wait, Then Export the Notebook
Trigger a job run, wait for it to finish, then export the source notebook.
ARAZZODatabricks Trigger Job Run and Wait for Output
Trigger a job run, poll the run until terminal, then fetch its output.
ARAZZODatabricks Run Job and Branch on Success or Failure
Run a job, wait for terminal state, then branch on the result state.
ARAZZODatabricks Stage Notebook Then Create and Run a Job
Import a notebook, create a job that runs it, then trigger the first run.
ARAZZODatabricks Start Cluster Then Run Job
Start a terminated cluster, wait until RUNNING, then trigger a job run.
ARAZZODatabricks Terminate Then Permanently Delete Cluster
Terminate a cluster, confirm it is TERMINATED, then permanently delete it.
ARAZZODatabricks Update Job Settings and Re-Run
Read a job, partially update its settings, then trigger a fresh run.
ARAZZOScroll within the panel for all 23 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
MCP Server
Databricks managed MCP servers for Unity Catalog functions, Genie spaces, Databricks SQL, and Vector Search, with Unity Catalog permissions always enforced.
MCP SERVERAgent Skills 24
An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.
Packaged agent skills for driving this provider's APIs from an AI assistant.
databricks-agent-bricks
AGENT SKILLdatabricks-ai-functions
AGENT SKILLdatabricks-aibi-dashboards
AGENT SKILLdatabricks-apps-python
AGENT SKILLdatabricks-apps
AGENT SKILLdatabricks-core
AGENT SKILLdatabricks-dabs
AGENT SKILLdatabricks-dbsql
AGENT SKILLdatabricks-docs
AGENT SKILLdatabricks-execution-compute
AGENT SKILLdatabricks-iceberg
AGENT SKILLdatabricks-jobs
AGENT SKILLdatabricks-lakebase
AGENT SKILLdatabricks-metric-views
AGENT SKILLdatabricks-mlflow-evaluation
AGENT SKILLdatabricks-model-serving
AGENT SKILLdatabricks-pipelines
AGENT SKILLdatabricks-python-sdk
AGENT SKILLdatabricks-serverless-migration
AGENT SKILLdatabricks-spark-structured-streaming
AGENT SKILLdatabricks-synthetic-data-gen
AGENT SKILLdatabricks-unity-catalog
AGENT SKILLdatabricks-unstructured-pdf-generation
AGENT SKILLdatabricks-vector-search
AGENT SKILLScroll within the panel for all 24 ·
GraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
Databricks GraphQL Schema
Databricks does not currently offer a native GraphQL API. Its public surface area is entirely REST-based, documented at [https://docs.databricks.com/api/workspace/introduction](...
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Databricks Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Databricks Finops
FINOPSFeatures 16
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
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Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Databricks Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Databricks API Rules
SPECTRALDatabricks API Rules
SPECTRALJSON Schema 48
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AccessControlRequest
JSON SCHEMAAccessControlRequest
JSON SCHEMAAutoScale
JSON SCHEMAAutoScale
JSON SCHEMAAwsAttributes
JSON SCHEMAAwsAttributes
JSON SCHEMAAzureAttributes
JSON SCHEMAAzureAttributes
JSON SCHEMAClusterDetails
JSON SCHEMAClusterEvent
JSON SCHEMADatabricks Cluster
JSON SCHEMAClusterDetails
JSON SCHEMAClusterEvent
JSON SCHEMACreateClusterRequest
JSON SCHEMACreateJobRequest
JSON SCHEMACreateClusterRequest
JSON SCHEMACreateJobRequest
JSON SCHEMACronSchedule
JSON SCHEMACronSchedule
JSON SCHEMAEditClusterRequest
JSON SCHEMAEditClusterRequest
JSON SCHEMAErrorResponse
JSON SCHEMAErrorResponse
JSON SCHEMAGcpAttributes
JSON SCHEMAGcpAttributes
JSON SCHEMAGitSource
JSON SCHEMAGitSource
JSON SCHEMAInitScriptInfo
JSON SCHEMAInitScriptInfo
JSON SCHEMAJobCluster
JSON SCHEMAJobEmailNotifications
JSON SCHEMAJob
JSON SCHEMAJobSettings
JSON SCHEMAJobCluster
JSON SCHEMAJobEmailNotifications
JSON SCHEMAJobSettings
JSON SCHEMALibrary
JSON SCHEMARun
JSON SCHEMARunTask
JSON SCHEMARunTask
JSON SCHEMASparkNode
JSON SCHEMASparkNode
JSON SCHEMATaskSettings
JSON SCHEMATaskSettings
JSON SCHEMAWebhookNotifications
JSON SCHEMAWebhookNotifications
JSON SCHEMAWorkspaceObject
JSON SCHEMAWorkspaceObject
JSON SCHEMAScroll within the panel for all 48 ·
JSON Structure 26
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Databricks Access Control Request Structure
JSON STRUCTUREDatabricks Auto Scale Structure
JSON STRUCTUREDatabricks Aws Attributes Structure
JSON STRUCTUREDatabricks Azure Attributes Structure
JSON STRUCTUREDatabricks Cluster Details Structure
JSON STRUCTUREDatabricks Cluster Event Structure
JSON STRUCTUREDatabricks Create Cluster Request Structure
JSON STRUCTUREDatabricks Create Job Request Structure
JSON STRUCTUREDatabricks Cron Schedule Structure
JSON STRUCTUREDatabricks Edit Cluster Request Structure
JSON STRUCTUREDatabricks Error Response Structure
JSON STRUCTUREDatabricks Gcp Attributes Structure
JSON STRUCTUREDatabricks Git Source Structure
JSON STRUCTUREDatabricks Init Script Info Structure
JSON STRUCTUREDatabricks Job Cluster Structure
JSON STRUCTUREDatabricks Job Email Notifications Structure
JSON STRUCTUREDatabricks Job Settings Structure
JSON STRUCTUREDatabricks Job Structure
JSON STRUCTUREDatabricks Library Structure
JSON STRUCTUREDatabricks Run Structure
JSON STRUCTUREDatabricks Run Task Structure
JSON STRUCTUREDatabricks Spark Node Structure
JSON STRUCTUREDatabricks Structure
JSON STRUCTUREDatabricks Task Settings Structure
JSON STRUCTUREDatabricks Webhook Notifications Structure
JSON STRUCTUREDatabricks Workspace Object Structure
JSON STRUCTUREScroll within the panel for all 26 ·
Examples 50
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Databricks Createjob Example
EXAMPLEDatabricks Deletejob Example
EXAMPLEDatabricks Getjob Example
EXAMPLEDatabricks Getjobrun Example
EXAMPLEDatabricks Job Example
EXAMPLEDatabricks Library Example
EXAMPLEDatabricks Listjobs Example
EXAMPLEDatabricks Run Example
EXAMPLEDatabricks Run Task Example
EXAMPLEDatabricks Runjobnow Example
EXAMPLEDatabricks Updatejob Example
EXAMPLEScroll within the panel for all 50 ·
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Data Engineering
Build and orchestrate ETL pipelines with Delta Live Tables and multi-task workflows.
Data Warehousing
Run analytical SQL queries on lakehouse data with serverless SQL warehouses.
Machine Learning
Train, track, and deploy ML models with MLflow experiment tracking and model registry.
Real-Time Analytics
Process streaming data with structured streaming and serve results through online tables.
Data Governance
Govern data assets across the organization with Unity Catalog metadata management.
Resources
Every other property we hold for Databricks — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 8
Reference material describing how the API behaves
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Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 25
Pagination, idempotency, versioning, errors, and events
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Build 9
SDKs, sample code, and the tooling you integrate with
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Access & Security 7
Authentication, authorization, and security posture
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Learn 2
Tutorials, courses, talks, and written guidance
Operate 6
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 1
Properties that don't map to a standard resource type
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