# dltHub

**Canonical:** https://apis.io/providers/dlthub/  
**Website:** https://dlthub.com/  
**APIs profiled:** 0

dltHub is the company behind dlt (data load tool), the open-source, Python-first data-loading library that moves data from any source to any destination with automatic schema inference, nested-JSON normalization, incremental loads, and evolving types. On top of the Apache-2.0 library, dltHub ships dlt+ (a commercial framework for productionising pipelines in teams and at scale, with Iceberg and AI workflows) and an agentic platform that deploys, monitors, and scales dlt pipelines. The developer surface is code-first: PyPI packages (dlt, dlt-plus), a rich CLI (dlt init/pipeline/schema/deploy), a first-party MCP server for agentic coding tools, and extensive documentation, tutorials, and a Slack community. dltHub is backed by Bessemer Venture Partners and operates as ScaleVector GmbH.

## Kin Score — 27.7 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 27.7).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 59.5 |
| Commercial Clarity | 38.2 |
| Access Clarity | 38.2 |

## Agent readiness — 4.1 (human-only)

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

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## MCP servers (1)

- **dltHub MCP Server**

## Security (1)

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

## Tags

Company, Data, Data Engineering, ETL, Data Pipeline, Python, Open-Source, Data Integration, Agentic, MCP

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