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 API contracts indexed on the APIs.io network: Datasets API and Projects API. Tagged areas include Company, Data Annotation, Machine Learning, Computer Vision, and Datasets.

The Unitlab AI catalog on APIs.io includes 1 Spectral governance ruleset.

Unitlab AI’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, authentication, and 20 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

39.5/100 developing ▬ flat Agent 18/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract 2 Agent Skills

Company Data Annotation Machine Learning Computer Vision Datasets Artificial Intelligence Labeling

Kin Score

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

Composite quality — 39.5/100 · developing

Contract Quality 2.6 / 19

Developer Ergonomics 8.8 / 15

Access Clarity 10.5 / 15

Operational Transparency 0.3 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 18/100 · agent aware

Machine-Readable Contract 18 / 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 5 / 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 0 / 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

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)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 13.9 — up to +21.5 composite points
Operational Transparency scores 2.6 — up to +12.7 composite points
Contract Governance scores 18.2 — up to +9.8 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/unitlab-ai/apis.yml: open an issue on github.com/api-evangelist/unitlab-ai 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
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	distribution	9.6 (thin)	-	1

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.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

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

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Unitlab SDK Datasets API

OPEN COLLECTION

Unitlab SDK Datasets Projects API

OPEN COLLECTION

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Download an annotated dataset from Unitlab

AGENT SKILL

Upload data samples to a Unitlab annotation project

AGENT SKILL

Unitlab AI API pricing

Prices published by Unitlab AI, read 2026-10-07 from unitlab.ai/en/pricing. A free plan or tier is listed.

Plan	Price
Free	Free forever Includes: Unlimited Workspace, Unlimited Project, 1 seat included, 1K Auto-Labeling, Private Datasets
Active	$99/seat/month Includes: Unlimited Workspace, Unlimited Project, Per-seat billing, 25K Auto-Labeling, Private Datasets
Active (billed yearly)	$89/seat/month Includes: -10% annual discount
Pro	$195/seat/month Includes: Unlimited Workspace, Unlimited Project, Per-seat billing, 25K Auto-Labeling, Private Datasets
Pro (billed yearly)	$180/seat/month Includes: -8% annual discount
Enterprise	Contact us Includes: Unlimited Workspace, Unlimited Project, Custom seat volume, Unlimited Auto-Labeling

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Unitlab Ai Plans Pricing

6 plans

PLANS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Unitlab AI

SLA

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Unitlab AI API Rules

60 rules · 58 errors 1 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Unitlab Ai Sdk Overlay

3 actions · update · unitlab-ai-sdk-openapi.yml

DERIVED

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

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

X-MCPServerCandidate

X-MCPServerCandidate

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance

ErrorCatalog

Lifecycle

Conventions

DataModel

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  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: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-17
tags:
- Company
- Data Annotation
- Machine Learning
- Computer Vision
- Datasets
- Artificial Intelligence
- Labeling
tags_raw:
- Company
- Data Annotation
- Machine Learning
- Computer Vision
- Datasets
- Artificial Intelligence
- Labeling
- Machine-Learning
- Computer-Vision
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:
  - Project
  tags_raw:
  - 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: Plans
  url: plans/unitlab-ai-plans-pricing.yml
- url: https://blog.unitlab.ai/rss/
  type: BlogRSS
- type: Overlay
  url: overlays/unitlab-ai-sdk-overlay.yaml
- 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: X-MCPServerCandidate
  url: mcp/unitlab-ai-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: 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

Unitlab AI API — frequently asked questions

Does Unitlab AI have an API?

Yes. APIs.io lists 2 APIs from Unitlab AI, including Unitlab AI Datasets API and Unitlab AI Projects API.

Is there an OpenAPI specification for the Unitlab AI API?

Yes. APIs.io indexes 2 OpenAPI specifications for Unitlab AI, each linked for download from this page.

How do I authenticate with the Unitlab AI API?

Unitlab AI uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Unitlab Ai Authentication.

How much does the Unitlab AI API cost?

Unitlab AI publishes its prices; its Free plan is Free forever as of 2026-10-07. APIs.io lists 6 pricing plans for Unitlab AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Unitlab AI API ready for AI agents?

Unitlab AI has a Kin Score of 39.5 out of 100 (developing) and an Agent Readiness score of 18.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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