Dataiku
Dataiku is an advanced data science and machine learning platform that enables teams to build and deploy AI applications at scale.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Dataiku the way a machine reads it — 141 machine-readable artifacts across 34 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 — Dataiku scores 66.3/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Dataiku
Each block below is one kind of artifact we hold for Dataiku. 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 34
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.
Dataiku Python API
Python client library for interacting with Dataiku DSS.
Dataiku Internal API
Internal API for use within recipes, notebooks, and plugins in Dataiku DSS.
Dataiku R API
R client library for interacting with Dataiku DSS.
Dataiku JavaScript API
JavaScript API for building custom web applications that read from Dataiku datasets within DSS.
Dataiku Scala API
Scala API for reading and writing DSS datasets from the Spark and Scala environment within Dataiku DSS.
Dataiku Plugin API
API for developing custom plugins that extend Dataiku DSS with custom datasets, recipes, processors, and web applications.
Dataiku Artifact Sign-Offs API
Manage sign-off workflows on artifacts
Dataiku Artifacts API
Manage governed artifacts (models, projects, etc.)
Dataiku Authentication API
Manage API keys for service access
Dataiku Blueprint Versions API
Manage blueprint version definitions
Dataiku Blueprints API
Manage governance blueprints that define artifact types
Dataiku Bundles API
Import and export project bundles
Dataiku Code Envs API
Manage code environments for Python and R
Dataiku Connections API
Manage data connections
Dataiku Custom Fields API
Manage custom fields on artifacts
Dataiku Datasets API
Manage datasets within projects
Dataiku General Settings API
Manage instance-level settings
Dataiku Generations API
Manage service generations (versions)
Dataiku Global API Keys API
Manage global API keys
Dataiku Groups API
Manage DSS groups
Dataiku Jobs API
Run and monitor build jobs
Dataiku Managed Folders API
Manage folders for unstructured data
Dataiku Meanings API
Manage user-defined meanings
Dataiku Metrics API
Retrieve metrics and health information
Dataiku Model Evaluation Stores API
Manage model evaluation stores
Dataiku Plugins API
Manage DSS plugins
Dataiku Projects API
Manage DSS projects
Dataiku Recipes API
Manage recipes and data transformations
Dataiku Roles API
Manage governance roles and assignments
Dataiku Saved Models API
Manage trained machine learning models
Dataiku Scenarios API
Manage and trigger automation scenarios
Dataiku Services API
The Services API from Dataiku — 4 operation(s) for services.
Dataiku SQL Queries API
Execute SQL queries on connections
Dataiku Users API
Manage Govern users
Scroll within the panel for all 34 ·
Postman Collections 3
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.
Open Collections 3
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).
Dataiku API Node Administration API
OPEN COLLECTIONDataiku Govern API
OPEN COLLECTIONDataiku DSS Public API
OPEN COLLECTIONArazzo Workflows 18
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.
Dataiku Audit Recipe and Project Jobs
List a project's recipes, read one recipe's inputs and outputs, and list the project's jobs.
ARAZZODataiku Bootstrap Project with First Dataset
Create a DSS project, add a managed dataset to it, and confirm the dataset definition.
ARAZZODataiku Browse Managed Folder Contents
List a project's managed folders and read the file contents of one folder.
ARAZZODataiku Build Dataset and Poll Job
Start a build job for a dataset output and poll the job until it reaches a terminal state.
ARAZZODataiku Create Dataset, Set Schema, and Build
Create a dataset, apply an explicit schema to it, and kick off a build job.
ARAZZODataiku Create Govern Artifact with Custom Fields
Create a governed artifact under a blueprint, set its custom field values, and read them back.
ARAZZODataiku Create Govern Blueprint and Version
Create a governance blueprint, add a first version to it, and read the version back.
ARAZZODataiku Export Project Bundle
Verify a project, create an export bundle for it, and list bundles to confirm the export.
ARAZZODataiku Import and Preload API Node Generation
Import a generation bundle for a service, preload it into memory, then switch the service to it.
ARAZZODataiku Inspect and Read a Dataset
List a project's datasets, fetch a dataset definition, and read a sample of its rows.
ARAZZODataiku Inspect Saved Model
List a project's saved models and fetch the details of one model including its active version.
ARAZZODataiku Promote API Node Generation
Verify a deployed service, list its generations, switch the active generation, and enable the service.
ARAZZODataiku Provision DSS User
Create a DSS user, confirm it by reading the user back, and assign groups via update.
ARAZZODataiku Review Artifact Sign-Off
List an artifact's sign-off steps, read one step, and add an approve or reject review to it.
ARAZZODataiku Run Scenario and Poll to Completion
Trigger a scenario run and poll its lightweight status until it is no longer running.
ARAZZODataiku Resolve Connection and Run SQL Query
Verify a DSS connection exists, then execute a SQL query against it and return the rows.
ARAZZODataiku Tag Project Metadata
Read a project's current metadata, then write an updated label, description, and tags.
ARAZZODataiku Teardown Project
Verify a project, delete a dataset within it, then delete the project itself.
ARAZZOScroll within the panel for all 18 ·
Pricing 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.
Dataiku 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.
Dataiku Finops
FINOPSSemantic 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.
Dataiku 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.
Dataiku API Rules
SPECTRALDataiku API Rules
SPECTRALJSON Schema 72
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.
Artifact
JSON SCHEMAArtifactSummary
JSON SCHEMAAuthKey
JSON SCHEMABlueprint
JSON SCHEMABlueprintSummary
JSON SCHEMABlueprintVersion
JSON SCHEMABlueprintVersionSummary
JSON SCHEMABundleSummary
JSON SCHEMACodeEnv
JSON SCHEMACodeEnvSummary
JSON SCHEMAConnection
JSON SCHEMAConnectionSummary
JSON SCHEMACreateArtifactRequest
JSON SCHEMACreateAuthKeyRequest
JSON SCHEMACreateBlueprintRequest
JSON SCHEMACreateBlueprintVersionRequest
JSON SCHEMACreateBundleRequest
JSON SCHEMACreateDatasetRequest
JSON SCHEMACreateProjectRequest
JSON SCHEMACreateUserRequest
JSON SCHEMADataiku DSS Dataset
JSON SCHEMADatasetData
JSON SCHEMADatasetSchema
JSON SCHEMADelegateSignOffRequest
JSON SCHEMAEndpoint
JSON SCHEMAFieldSetting
JSON SCHEMAGeneralSettings
JSON SCHEMAGeneration
JSON SCHEMAGenerationSummary
JSON SCHEMAGlobalAPIKey
JSON SCHEMAGovernUser
JSON SCHEMAGroup
JSON SCHEMAHealthStatus
JSON SCHEMAJob
JSON SCHEMAJobActivity
JSON SCHEMAJobSummary
JSON SCHEMAManagedFolder
JSON SCHEMAManagedFolderContents
JSON SCHEMAMeaning
JSON SCHEMAMetrics
JSON SCHEMAModelEvaluationStoreSummary
JSON SCHEMAModelVersion
JSON SCHEMAPlugin
JSON SCHEMAPluginSummary
JSON SCHEMADataiku DSS Project
JSON SCHEMAProjectMetadata
JSON SCHEMAProjectSummary
JSON SCHEMARecipe
JSON SCHEMARecipeSummary
JSON SCHEMARole
JSON SCHEMASavedModel
JSON SCHEMASavedModelSummary
JSON SCHEMAScenario
JSON SCHEMAScenarioLight
JSON SCHEMAScenarioRun
JSON SCHEMAScenarioSummary
JSON SCHEMASchemaColumn
JSON SCHEMAService
JSON SCHEMAServiceSummary
JSON SCHEMASignOff
JSON SCHEMASignOffConfiguration
JSON SCHEMASignOffReview
JSON SCHEMASignOffReviewRequest
JSON SCHEMASignOffStep
JSON SCHEMASqlQueryRequest
JSON SCHEMASqlQueryResult
JSON SCHEMAStartJobRequest
JSON SCHEMATag
JSON SCHEMAUser
JSON SCHEMAWorkflowConfiguration
JSON SCHEMAWorkflowStatus
JSON SCHEMAWorkflowTransition
JSON SCHEMAScroll within the panel for all 72 ·
JSON Structure 1
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.
Dataiku Structure
JSON STRUCTURESecurity 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.
Resources
Every other property we hold for Dataiku — 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 4
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 21
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 21 ·
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Learn 2
Tutorials, courses, talks, and written guidance
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 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/dataiku · machine-readable index on apis.io