Cask Data

Cask Data was the developer-tools company (originally Continuuity) behind CDAP, the Cask Data Application Platform — a 100% open source, integrated framework for building and running batch and real-time data-analytics applications and self-service ETL/ELT data pipelines on Hadoop, Spark, and the cloud. Google acquired Cask Data in 2018; CDAP now powers Google Cloud Data Fusion while continuing as an Apache 2.0 open source project (github.com/cdapio) with a versioned HTTP RESTful API rooted at /v3/namespaces, a Java client library and CLI, and a downloadable local Sandbox. Backed by Amplify Partners and Battery Ventures.

Cask Data is profiled on the APIs.io network. Tagged areas include Company, Developer Tools, Data Integration, Data Pipelines, and ETL.

Cask Data’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, CLI, sandbox, and 20 more developer resources.

🌐 Visit website 📡 Source on GitHub

25.2/100 emerging ▬ flat Agent 33/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

0 APIs 1 MCP Servers

CompanyDeveloper ToolsData IntegrationData PipelinesETLBig DataAnalyticsOpen SourceHadoopCDAP

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 25.2/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 14.3 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 4.1 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 33/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/cask-data: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

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

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Sandbox

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Lifecycle

Conventions

DataModel

ErrorCatalog

Conformance

Build 5

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

SourceCode

Packages

SDKs

CLI

Access & Security 4

Authentication, authorization, and security posture

Security

Security

Authentication

Authentication

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

License

License

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

DataFusion

DataFusion

Source (apis.yml)

aid: cask-data
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/cask-data.png
name: Cask Data
description: Cask Data was the developer-tools company (originally Continuuity) behind CDAP, the Cask Data Application Platform
  — a 100% open source, integrated framework for building and running batch and real-time data-analytics applications and
  self-service ETL/ELT data pipelines on Hadoop, Spark, and the cloud. Google acquired Cask Data in 2018; CDAP now powers
  Google Cloud Data Fusion while continuing as an Apache 2.0 open source project (github.com/cdapio) with a versioned HTTP
  RESTful API rooted at /v3/namespaces, a Java client library and CLI, and a downloadable local Sandbox. Backed by Amplify
  Partners and Battery Ventures.
url: https://raw.githubusercontent.com/api-evangelist/cask-data/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- amplify-partners
- battery-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Developer Tools
- Data Integration
- Data Pipelines
- ETL
- Big Data
- Analytics
- Open Source
- Hadoop
- CDAP
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://cdap.io
- type: Documentation
  url: https://cdap.atlassian.net/wiki/spaces/DOCS/overview
- type: APIReference
  url: https://docs.cdap.io/cdap/current/en/reference-manual/http-restful-api/index.html
- type: GettingStarted
  url: https://cdap.io/get-started/
- type: Blog
  url: https://medium.com/cdapio
- type: GitHubOrganization
  url: https://github.com/cdapio
- type: SourceCode
  url: https://github.com/cdapio/cdap
- type: Support
  url: https://groups.google.com/g/cdap-dev
- type: License
  url: https://github.com/cdapio/cdap/blob/develop/LICENSE
- type: Security
  url: https://github.com/cdapio/cdap/blob/develop/SECURITY.md
- type: DataFusion
  url: https://cloud.google.com/data-fusion
- type: Packages
  url: packages/cask-data-packages.yml
- type: SDKs
  url: packages/cask-data-packages.yml
- type: CLI
  url: cli/cask-data-cli.yml
- type: Sandbox
  url: sandbox/cask-data-sandbox.yml
- type: ChangeLog
  url: changelog/cask-data-changelog.yml
- type: Lifecycle
  url: lifecycle/cask-data-lifecycle.yml
- type: Authentication
  url: authentication/cask-data-authentication.yml
- type: VulnerabilityDisclosure
  url: security/cask-data-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/cask-data-domain-security.yml
- type: Conventions
  url: conventions/cask-data-conventions.yml
- type: DataModel
  url: data-model/cask-data-data-model.yml
- type: ErrorCatalog
  url: errors/cask-data-problem-types.yml
- type: Conformance
  url: conformance/cask-data-conformance.yml
- type: WellKnown
  url: well-known/cask-data-well-known.yml
- type: MCPServer
  url: mcp/cask-data-mcp.yml
- type: LLMsTxt
  url: llms/cask-data-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence