Unitlab AI

Unitlab AI is an enterprise multimodal data annotation platform for AI teams, providing a unified workspace to label images, video, audio, text, documents, and medical (DICOM/NIfTI) data with AI-assisted auto-labeling (including Segment Anything), human review workflows, dataset versioning and releases, and bring-your-own-model integration. Programmatic access comes through the Unitlab SDK API at api.unitlab.ai, consumed by the official `unitlab` Python SDK and CLI on PyPI, authenticated with API keys. Backed by 500 Global.

Unitlab AI publishes 2 APIs on the APIs.io network: Datasets API and Projects API. Tagged areas include Company, Data Annotation, Machine Learning, Computer Vision, and Datasets.

Unitlab AI’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, authentication, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub
47.0/100 developing ▬ flat Agent 51/100 agent ready Full breakdown ↓
scored 2026-07-28 · rubric v0.5
AccessSelf serve
2 APIs 1 MCP Servers
CompanyData AnnotationMachine LearningComputer VisionDatasetsArtificial IntelligenceLabeling

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.5
Composite quality — 47.0/100 · developing
Contract Quality 14.6 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 51/100 · agent ready
Machine-Readable Contract 18 / 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 5 / 5
Well-Known Catalog 0 / 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/unitlab-ai: 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 2

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

Unitlab AI Datasets API

Dataset releases

Unitlab AI Projects API

Annotation projects

MCP Servers 1

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

unitlab-ai-mcp.yml

MCP SERVER

Security Posture 2

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

Unitlab Ai Authentication

apiKey · 1 scheme

SECURITY

Unitlab Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

GettingStarted
GettingStarted
 SignUp
SignUp
 Login
Login

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt
 MCPServer
MCPServer
 AgentSkill
AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance
 ErrorCatalog
ErrorCatalog
 Lifecycle
Lifecycle
 Conventions
Conventions
 DataModel
DataModel

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs
 CLI
CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: unitlab-ai
name: Unitlab AI
description: Unitlab AI is an enterprise multimodal data annotation platform for AI teams, providing a unified workspace to
  label images, video, audio, text, documents, and medical (DICOM/NIfTI) data with AI-assisted auto-labeling (including Segment
  Anything), human review workflows, dataset versioning and releases, and bring-your-own-model integration. Programmatic access
  comes through the Unitlab SDK API at api.unitlab.ai, consumed by the official `unitlab` Python SDK and CLI on PyPI, authenticated
  with API keys. Backed by 500 Global.
url: https://raw.githubusercontent.com/api-evangelist/unitlab-ai/refs/heads/main/apis.yml
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://unitlab-storage.s3.us-east-2.amazonaws.com/Logo.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: enriched
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Data Annotation
- Machine Learning
- Computer Vision
- Datasets
- Artificial Intelligence
- Labeling
apis:
- aid: unitlab-ai:unitlab-ai-datasets-api
  name: Unitlab AI Datasets API
  description: Dataset releases
  humanURL: https://docs.unitlab.ai/cli-python-sdk/get-started
  baseURL: https://api.unitlab.ai
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/unitlab-ai-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.unitlab.ai/cli-python-sdk/get-started
- aid: unitlab-ai:unitlab-ai-projects-api
  name: Unitlab AI Projects API
  description: Annotation projects
  humanURL: https://docs.unitlab.ai/cli-python-sdk/get-started
  baseURL: https://api.unitlab.ai
  tags:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/unitlab-ai-projects-api-openapi.yml
  - type: Documentation
    url: https://docs.unitlab.ai/cli-python-sdk/get-started
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://unitlab.ai
- type: Documentation
  url: https://docs.unitlab.ai/
- type: APIReference
  url: https://docs.unitlab.ai/cli-python-sdk/unitlab-python-sdk
- type: GettingStarted
  url: https://docs.unitlab.ai/cli-python-sdk/get-started
- type: Blog
  url: https://blog.unitlab.ai/
- type: Pricing
  url: https://unitlab.ai/en/pricing
- type: SignUp
  url: https://app.unitlab.ai/register
- type: Login
  url: https://app.unitlab.ai/
- type: TermsOfService
  url: https://unitlab.ai/en/term-of-use
- type: PrivacyPolicy
  url: https://unitlab.ai/en/privacy-policy
- type: GitHubOrganization
  url: https://github.com/teamunitlab
- type: Authentication
  url: authentication/unitlab-ai-authentication.yml
- type: DomainSecurity
  url: security/unitlab-ai-domain-security.yml
- type: Packages
  url: packages/unitlab-ai-packages.yml
- type: SDKs
  url: packages/unitlab-ai-packages.yml
- type: CLI
  url: cli/unitlab-ai-cli.yml
- type: LLMsTxt
  url: llms/unitlab-ai-llms.txt
- type: MCPServer
  url: mcp/unitlab-ai-mcp.yml
- type: Conformance
  url: conformance/unitlab-ai-conformance.yml
- type: ErrorCatalog
  url: errors/unitlab-ai-problem-types.yml
- type: Lifecycle
  url: lifecycle/unitlab-ai-lifecycle.yml
- type: Conventions
  url: conventions/unitlab-ai-conventions.yml
- type: DataModel
  url: data-model/unitlab-ai-data-model.yml
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 17
  pass: local-v1