# DataChain

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

DataChain provides a platform to curate, enrich, and version AI datasets. It enables developers to ingest massive video and sensor data, apply AI agents for labeling, curate datasets, and stream them into training pipelines. Trusted by startups and Fortune 500 companies, DataChain offers tools for dataset versioning, quality assurance, and collaborative data management across the AI lifecycle.

## Kin Score — 28.9 / 100 (thin)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 39.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 7.9 |
| Developer Ergonomics | 35.7 |
| Access Clarity | 34.2 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 17.3 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | yes |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Datachain Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

AI, Data Management, Platform, Machine Learning, Datasets, Company

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