# Datasaur

**Canonical:** https://apis.io/providers/datasaur/  
**Website:** https://datasaur.ai/  
**APIs profiled:** 0

Datasaur is an enterprise AI lab that builds private, secure LLM and data solutions deployed on a customer's own infrastructure. Its Data Studio is a collaborative data-labeling platform (span, row, document, bounding-box, conversational and audio tasks) with ML-assisted labeling, while LLM Labs covers sandboxing, deployment, knowledge bases, model integrations and evaluation. Products include an enterprise chatbot, document intelligence, PII/PHI redaction and private agents, serving legal, healthcare, finance, insurance, eCommerce and government. Developers integrate through a GraphQL API (OAuth2 client credentials) at app.datasaur.ai/graphql, the Robosaur CLI, webhooks, and SAML/SCIM for workspace SSO.

## Kin Score — 51.6 / 100 (developing)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 51.6).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 51.6 |
| Governance | 12.5 |
| Operational Transparency | 52.6 |
| Developer Ergonomics | 62.5 |
| Commercial Clarity | 60.5 |

## Agent readiness — 34.5 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| MCP Server | derived |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | yes |
| 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).

## MCP servers (1)

- **Datasaur MCP (candidate)**

## Security (3)

- **Datasaur Authentication** — oauth2 · 1 scheme
- **Datasaur Domain Security** — TLSv1.3 · HSTS · DMARC
- **Datasaur Trust Center** — SOC 2, HIPAA, GDPR

## Tags

Company, Enterprise Saas, Data Labeling, Artificial Intelligence, Machine Learning, Large Language Models, NLP, Data Annotation, GraphQL

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