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 Pipeline, and ETL.

Cask Data’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, CLI, sandbox, and 23 more developer resources.

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24.0/100 emerging ▬ flat Agent 3/100 human only Front door AI 2/6 trace library Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Developer Tools Data Integration Data Pipeline ETL Big Data Analytics Open Source HadoopCDAP

Kin Score

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

Composite quality — 24.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 11.1 / 17

Access Clarity 0.0 / 17

Operational Transparency 3.2 / 11

Contract Governance 0.5 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 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.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

11 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 0.0 — up to +20.0 composite points
Contract Governance scores 4.5 — up to +11.5 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/cask-data/apis.yml: open an issue on github.com/api-evangelist/cask-data 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
Configuration-Management Content Registries (Ansible Galaxy, Chef Supermarket)	builds-on	17.2 (thin)	-	-

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.

Security Posture 3

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

Cask Data Authentication

http · 1 scheme

SECURITY

Cask Data Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Cask Data Vulnerability Disclosure

contact published

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Sandbox

Sandbox

Documentation 3

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Lifecycle

Conventions

DataModel

ErrorCatalog

Conformance

Build 6

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

GitHubOrganization

SourceCode

Packages

SDKs

CLI

Access & Security 4

Authentication, authorization, and security posture

Security

Security

Authentication

Authentication

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Releases

Releases

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
deliveryModel:
  model: library
  license_evidence:
    not_product:
    - cdapio/cdap
  open_source: unknown
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  - sandbox
  generated: '2026-11-06'
  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: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
x-docs-platform: confluence
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-21
x-docs-hosting: aws-cloudfront
tags:
- Company
- Developer Tools
- Data Integration
- Data Pipeline
- ETL
- Big Data
- Analytics
- Open Source
- Hadoop
- CDAP
tags_raw:
- Company
- Developer Tools
- Data Integration
- Data Pipelines
- ETL
- Big Data
- Analytics
- Open Source
- Hadoop
- CDAP
- Open-Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Releases
  url: https://github.com/cdapio/cdap/releases
- type: CodeOfConduct
  url: https://github.com/cdapio/cdap/blob/develop/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/cdapio/cdap/blob/develop/CONTRIBUTING.rst
- 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: X-MCPServerCandidate
  url: mcp/cask-data-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- 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

Cask Data API — frequently asked questions

How do I authenticate with the Cask Data API?

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

Is the Cask Data API ready for AI agents?

Cask Data has a Kin Score of 24.0 out of 100 (emerging) and an Agent Readiness score of 3.2 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

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MCP server

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