dltHub

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.

dltHub is profiled on the APIs.io network. Tagged areas include Company, Data, Data Engineering, ETL, and Data Pipelines.

dltHub’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, pricing, CLI, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

31.0/100 thin ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.5

0 APIs 1 MCP Servers

CompanyDataData EngineeringETLData PipelinesPythonOpen SourceData IntegrationAgenticMCP

Kin Score

Kin Score How this is scored →
scored 2026-07-28 · rubric v0.5

Composite quality — 31.0/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 12.6 / 20

Commercial Clarity 8.9 / 20

Operational Transparency 2.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 12/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/dlthub: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

BlogRSS

BlogRSS

Source (apis.yml)

aid: dlthub
name: dltHub
description: '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.'
url: https://raw.githubusercontent.com/api-evangelist/dlthub/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://dlthub.com/api/og?title=dltHub&kind=default
x-type: company
x-source: vc-portfolio
x-backed-by:
- bessemer-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Data
- Data Engineering
- ETL
- Data Pipelines
- Python
- Open Source
- Data Integration
- Agentic
- MCP
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://dlthub.com/
- type: DeveloperPortal
  url: https://dlthub.com/docs
- type: Documentation
  url: https://dlthub.com/docs/intro
- type: APIReference
  url: https://dlthub.com/docs/reference
- type: GettingStarted
  url: https://dlthub.com/docs/tutorial/rest-api
- type: Blog
  url: https://dlthub.com/blog
- type: BlogRSS
  url: https://dlthub.com/blog/rss.xml
- type: Support
  url: https://dlthub.com/community
- type: GitHubOrganization
  url: https://github.com/dlt-hub
- type: Pricing
  url: https://dlthub.com/pricing
- type: Login
  url: https://app.dlthub.com/login
- type: TermsOfService
  url: https://dlthub.com/terms
- type: PrivacyPolicy
  url: https://dlthub.com/privacy-policy
- type: Packages
  url: packages/dlthub-packages.yml
- type: SDKs
  url: packages/dlthub-packages.yml
- type: CLI
  url: cli/dlthub-cli.yml
- type: MCPServer
  url: mcp/dlthub-mcp.yml
- type: LLMsTxt
  url: llms/dlthub-llms.txt
- type: ChangeLog
  url: changelog/dlthub-changelog.yml
- type: DomainSecurity
  url: security/dlthub-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence