# Unitlab AI

**Canonical:** https://apis.io/providers/unitlab-ai/  
**Website:** https://unitlab.ai  
**APIs profiled:** 2

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.

## Kin Score — 43.7 / 100 (developing)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 43.7).

| Facet | Score |
|---|---|
| Discoverability | 75.9 |
| Contract Quality | 57.3 |
| Governance | 16.7 |
| Contract Governance | 16.7 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 58.9 |
| Commercial Clarity | 38.2 |
| Access Clarity | 38.2 |

## Agent readiness — 28.4 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | documented |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | derived |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## APIs (2)

- **Unitlab AI Datasets API** — Dataset releases
- **Unitlab AI Projects API** — Annotation projects

## MCP servers (1)

- **Unitlab AI MCP Server**

## Security (2)

- **Unitlab Ai Authentication** — apiKey · 1 scheme
- **Unitlab Ai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Data Annotation, Machine-Learning, Computer-Vision, Datasets, Artificial Intelligence, Labeling

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/unitlab-ai/). Scores are computed from the provider's own public artifacts under a published rubric.