DataLoop website screenshot

DataLoop

Dataloop is an enterprise AI data platform for the full unstructured-data lifecycle — ingesting images, video, audio, text and LiDAR from cloud or on-premises storage, labeling and reviewing it through managed annotation tasks and recipes, orchestrating it with pipelines and serverless functions (FaaS), and turning it into governed, model-ready datasets. The platform is programmable end to end: a JWT-authenticated REST API at gate.dataloop.ai/api/v1, a first-party Python SDK and `dlp` CLI (dtlpy), a JavaScript SDK, and a Vue component library for building in-platform applications. Founded in Israel in 2017, Dataloop was acquired by Dell Technologies in December 2025 and the platform is now marketed as the Dell Data Orchestration Engine (DDOE).

DataLoop publishes 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Machine Learning, Data Management, Data Annotation, and MLOps.

The DataLoop catalog on APIs.io includes 1 event-driven AsyncAPI specification.

DataLoop’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, signup flow, changelog, and 25 more developer resources.

🌐 Visit website 📡 Source on GitHub
56.1/100 strong ▬ flat Agent 49/100 agent ready Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0
1 APIs 1 MCP Servers
Artificial IntelligenceMachine LearningData ManagementData AnnotationMLOpsComputer VisionGenerative AIData LabelingPipelinesServerlessEnterprise SoftwareCompany

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 56.1/100 · strong
Contract Quality 12.9 / 25
Developer Ergonomics 14.8 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 8.2 / 13
Governance 1.5 / 12
Discoverability 8.7 / 10
Agent readiness — 49/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 10
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 6 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
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/dataloop: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Dataloop Platform API

The Dataloop (Dell Data Orchestration Engine) platform REST API. Every part of the platform — projects, datasets, items, annotations, recipes and ontologies, tasks and assignmen...

MCP Servers 1

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

dataloop-mcp.yml

MCP SERVER

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Dataloop Platform Events

ASYNCAPI

Security Posture 4

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

Dataloop Authentication

http/oauth2/apiKey · 5 schemes

SECURITY

Dataloop Domain Security

TLSv1.3 · DMARC

SECURITY

Dataloop Vulnerability Disclosure

Hackerone · contact published

SECURITY

Dataloop Trust Center

SOC 2 Type 2, ISO/IEC 27001:2022, ISO/IEC 27701, ISO/IEC 27017:2015, ISO/IEC 27018:2019, GDPR, AWS Qualified Software

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 LLMsTxt
LLMsTxt

Design & Contract 7

Pagination, idempotency, versioning, errors, and events

Lifecycle
Lifecycle
 Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 Conformance
Conformance
 Components
Components
 DataModel
DataModel
 Webhooks
Webhooks

Scroll for all 7

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs
 CLI
CLI

Access & Security 6

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Security
Security
 VulnerabilityDisclosure
VulnerabilityDisclosure
 Compliance
Compliance
 TrustCenter
TrustCenter
 Authentication
Authentication

Operate 4

Status, limits, changes, and where to get help

Support
Support
 StatusPage
StatusPage
 Deprecation
Deprecation
 ChangeLog
ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: dataloop
name: DataLoop
description: 'Dataloop is an enterprise AI data platform for the full unstructured-data lifecycle — ingesting images, video,
  audio, text and LiDAR from cloud or on-premises storage, labeling and reviewing it through managed annotation tasks and
  recipes, orchestrating it with pipelines and serverless functions (FaaS), and turning it into governed, model-ready datasets.
  The platform is programmable end to end: a JWT-authenticated REST API at gate.dataloop.ai/api/v1, a first-party Python SDK
  and `dlp` CLI (dtlpy), a JavaScript SDK, and a Vue component library for building in-platform applications. Founded in Israel
  in 2017, Dataloop was acquired by Dell Technologies in December 2025 and the platform is now marketed as the Dell Data Orchestration
  Engine (DDOE).'
url: https://raw.githubusercontent.com/api-evangelist/dataloop/refs/heads/main/apis.yml
image: https://dataloop.ai/wp-content/uploads/2024/02/dataloop-logo-main.svg
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-04'
modified: '2026-08-04'
tags:
- Artificial Intelligence
- Machine Learning
- Data Management
- Data Annotation
- MLOps
- Computer Vision
- Generative AI
- Data Labeling
- Pipelines
- Serverless
- Enterprise Software
- Company
apis:
- aid: dataloop:platform-api
  name: Dataloop Platform API
  description: The Dataloop (Dell Data Orchestration Engine) platform REST API. Every part of the platform — projects, datasets,
    items, annotations, recipes and ontologies, tasks and assignments, packages, services, triggers, executions and pipelines
    — can be created, read, updated and deleted over HTTP. Requests are authenticated with a JSON Web Token supplied as an
    Authorization bearer token, obtained either from a platform API key or from the /token endpoint. Dataloop does not publish
    a public OpenAPI definition; the interactive Swagger UI at gate.dataloop.ai/api/v1/docs/ requires an authenticated browser
    session.
  humanURL: https://docs.dataloop.ai/docs/rest-api-connection
  baseURL: https://gate.dataloop.ai/api/v1
  tags:
  - Data Management
  - Annotation
  - Pipelines
  - Machine Learning
  properties:
  - type: Documentation
    url: https://docs.dataloop.ai/docs/rest-api-connection
  - type: Authentication
    url: authentication/dataloop-authentication.yml
  - type: ErrorCatalog
    url: errors/dataloop-problem-types.yml
  - type: Conventions
    url: conventions/dataloop-conventions.yml
  - type: DataModel
    url: data-model/dataloop-data-model.yml
  - type: Webhooks
    url: asyncapi/dataloop-platform-events.yml
common:
- type: DomainSecurity
  url: security/dataloop-domain-security.yml
- type: Security
  url: https://dataloop.ai/security/
- type: VulnerabilityDisclosure
  url: security/dataloop-vulnerability-disclosure.yml
- type: Website
  url: https://dataloop.ai/
- type: DeveloperPortal
  url: https://developers.dataloop.ai/resources
- type: Documentation
  url: https://docs.dataloop.ai/docs
- type: APIReference
  url: https://sdk-docs.dataloop.ai/en/latest/
- type: GettingStarted
  url: https://developers.dataloop.ai/onboarding/onboarding
- type: Support
  url: https://dataloop.ai/contact/
- type: Blog
  url: https://dataloop.ai/blog/
- type: GitHubOrganization
  url: https://github.com/dataloop-ai
- type: SignUp
  url: https://console.dataloop.ai/welcome
- type: TermsOfService
  url: https://dataloop.ai/terms/
- type: PrivacyPolicy
  url: https://dataloop.ai/privacy-policy/
- type: Compliance
  url: https://docs.dataloop.ai/docs/compliance
- type: TrustCenter
  url: security/dataloop-trust-center.yml
- type: StatusPage
  url: https://status.dataloop.ai/
- type: Deprecation
  url: https://docs.dataloop.ai/docs/deprecations
- type: ChangeLog
  url: changelog/dataloop-changelog.yml
- type: Lifecycle
  url: lifecycle/dataloop-lifecycle.yml
- type: Authentication
  url: authentication/dataloop-authentication.yml
- type: Conventions
  url: conventions/dataloop-conventions.yml
- type: ErrorCatalog
  url: errors/dataloop-problem-types.yml
- type: Conformance
  url: conformance/dataloop-conformance.yml
- type: Packages
  url: packages/dataloop-packages.yml
- type: SDKs
  url: packages/dataloop-packages.yml
- type: CLI
  url: cli/dataloop-cli.yml
- type: Components
  url: components/dataloop-components.yml
- type: DataModel
  url: data-model/dataloop-data-model.yml
- type: MCPServer
  url: mcp/dataloop-mcp.yml
- type: LLMsTxt
  url: llms/dataloop-llms.txt
- type: Webhooks
  url: asyncapi/dataloop-platform-events.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-08-04'
  status: enriched
  artifacts_added: 15
  pass: local-v1