[
  {
    "id": "dlt-docs-1",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/intro",
    "excerpt": "dlt extracts data from REST APIs, SQL databases, cloud storage, Python data structures, and many more",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-2",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/intro",
    "excerpt": "dlt infers schemas and data types, normalizes the data, and handles nested data structures.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-3",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/intro",
    "excerpt": "dlt supports a variety of popular destinations and has an interface to add custom destinations to create reverse ETL pipelines.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-4",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/intro",
    "excerpt": "dlt automates pipeline maintenance with incremental loading, schema evolution, and schema and data contracts.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-5",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/intro",
    "excerpt": "dlt supports Python and SQL data access, transformations and supports pipeline inspection and visualizing data in Marimo Notebooks.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-6",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/intro",
    "excerpt": "dlt can be deployed anywhere Python runs, be it on Airflow, serverless functions",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-gh-1",
    "tier": "github",
    "url": "https://github.com/dlt-hub/dlt",
    "excerpt": "pip install \"dlt[duckdb]\"        # local DuckDB destination",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-7",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/tutorial/load-data-from-an-api",
    "excerpt": "let's load a list of Python dictionaries into DuckDB and inspect the created dataset",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-8",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/transformations/dbt",
    "excerpt": "You can run dbt with `dlt` by using the dbt runner.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-9",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/destinations/lancedb",
    "excerpt": "This destination helps you load data into LanceDB from dlt resources.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-10",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/reference/command-line-interface",
    "excerpt": "Creates, adds, inspects and deploys dlt pipelines.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-11",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/walkthroughs/deploy-a-pipeline",
    "excerpt": "Deploy your pipelines with a single `dlthub deploy` command. Schedule, refresh, backfill, and observe runs with a familiar decorator-based Python API.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-12",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/general-usage/dataset-access/dataset",
    "excerpt": "use `pipeline.dataset()` to query the data. You can build the query with data frame expressions, Ibis, or SQL.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-13",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/hub/getting-started/introduction",
    "excerpt": "A developer or analyst comfortable with Python and a coding agent can build and operate ingestion, transformations, quality checks, and data apps end-to-end without managing infrastructure.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-14",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/hub/ai-harness/introduction",
    "excerpt": "The dltHub AI Harness is a set of skills, rules, and MCP servers that teach a general-purpose coding agent (Claude Code, Cursor, or Codex) how to build production-grade pipelines, deploy and run them on dltHub managed infrastructure.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-15",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/hub/pipeline-operations/monitoring",
    "excerpt": "Use the dltHub CLI and the Web UI at app.dlthub.com to monitor pipeline health, inspect logs, and diagnose failures.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-16",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/hub/transformations/dbt-transformations",
    "excerpt": "It analyzes the pipeline schema and automatically generates staging and fact dbt models.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-17",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/context",
    "excerpt": "we turn AI assistants into expert dlt pipeline developers across over 11,200 REST API data sources.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-18",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/general-usage/incremental-loading",
    "excerpt": "Merge: Merges new data into the destination using merge_key and/or deduplicates/upserts new data using primary_key.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-19",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/pricing",
    "excerpt": "Migration to dltHub included",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-20",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/general-usage/schema-evolution",
    "excerpt": "dlt automatically infers the initial schema for your first pipeline run... dlt handles these schema changes, enabling you to adapt to changes without losing velocity.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-21",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/general-usage/destination",
    "excerpt": "This approach is especially useful when switching between destinations without modifying the actual pipeline code.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-22",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/verified-sources",
    "excerpt": "Choose from our collection of verified sources, developed and maintained by the dlt team and community.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-23",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/verified-sources/rest_api",
    "excerpt": "Using a declarative configuration, you can define: the API endpoints to pull data from, their relationships, how to handle pagination, authentication.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-24",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/verified-sources/sql_database",
    "excerpt": "We support all SQLAlchemy dialects, which include, but are not limited to... PostgreSQL, MySQL, SQLite, Oracle, Microsoft SQL Server",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-25",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/verified-sources/openapi-generator",
    "excerpt": "dlt-init-openapi generates code from an OpenAPI spec that you can use to extract data from a rest_api into any destination",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-26",
    "tier": "claimed-docs",
    "url": "https://dlthub.com",
    "excerpt": "Any engineer on your team can ship production data, with agents doing the work on infra we run. Every run is logged and auditable.",
    "fetchedAt": "2026-09-08T20:32:14.963Z"
  },
  {
    "id": "dlt-docs-27",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/general-usage/incremental-loading",
    "excerpt": "Incremental loading is the act of loading only new or changed data and not old records that we have already loaded.",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-docs-28",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/general-usage/dataset-access/dataset",
    "excerpt": "You can build the query with data frame expressions, Ibis, or SQL. You can read the result as records, Pandas frames, or Arrow tables.",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-gh-2",
    "tier": "github",
    "url": "https://github.com/dlt-hub/dlt",
    "excerpt": "Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop, or an AI coding agent\u2014dlt can be dropped in anywhere.",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-docs-29",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/tutorial/load-data-from-an-api",
    "excerpt": "pipeline = dlt.pipeline(    pipeline_name=\"quick_start\", destination=\"duckdb\", dataset_name=\"mydata\")load_info = pipeline.run(data, table_name=\"users\")",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-docs-30",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/transformations/dbt",
    "excerpt": "You can run dbt with dlt by using the dbt runner. The dbt runner: Can create a virtual environment for dbt on the fly...",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-docs-31",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/destinations/lancedb",
    "excerpt": "LanceDB is a multimodal lakehouse for AI... This destination helps you load data into LanceDB from dlt resources.",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-docs-32",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/verified-sources/openapi-generator",
    "excerpt": "dlt-init-openapi - generates dlt data pipelines from OpenAPI 3.x specs using the rest_api verified source to extract data from any REST API.",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-docs-33",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/dlt-ecosystem/verified-sources/sql_database",
    "excerpt": "We support all SQLAlchemy dialects... including PostgreSQL, MySQL, SQLite, Oracle, Microsoft SQL Server, MariaDB, IBM DB2 and Informix, Google BigQuery, Snowflake, Redshift...",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-docs-34",
    "tier": "claimed-docs",
    "url": "https://dlthub.com/docs/hub/transformations/dbt-transformations",
    "excerpt": "The dbt generator creates scaffolding for dbt projects using data ingested by dlt. It analyzes the pipeline schema and automatically generates staging and fact dbt models.",
    "fetchedAt": "2026-09-08T20:34:45.824Z"
  },
  {
    "id": "dlt-comm-1",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "dlt is a python library made for automating movement of data with structuring and typing to enable crossing different format standards; OpenRefine is more for visual data cleaning. Used together you get automation plus manual tweaking.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-2",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "Tbh I found it confusing why suddenly you were using chatgpt in the middle of the example. It made it seem like this is a gpt based tool but it's not.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-3",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "That example looks completely opaque... I couldn't tell where your library actually got involved at all, it just looked like a couple of functions to access data, followed by links to your documentation.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-4",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "Pulling data from an API and putting it in a SQL database should be a simple everyday task but the tools for this are 99% massive overkill. Great to see a simple library for a simple job.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-5",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "We are one of the early adopters and really like the 'weight' of DLT. It's heavy enough to be adding substantial value over homegrown scripts for extraction and loading, yet light enough to add to a pre-existing data stack.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-6",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "I've been fiddling around with meltano and finicky singer taps for 2 weeks, and today I found dlt. What a breath of fresh air\u2014the code quality, simplicity and ease of integration into my project, and documentation really makes this project shine.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-7",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "As an FYI, Databricks' 'Delta Live Tables' product keeps being contracted to 'DLT' at my employer, so you have some potential naming confusion in your future.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-8",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/37999527",
    "excerpt": "Automatic schema creation/migration is an anti-feature I'd want to disable: 99% of projects have a well-defined schema I want precise control over, not one dynamically changed without my explicit consent.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-comm-9",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/45712393",
    "excerpt": "One of the reasons why I like dlt is because I can do everything via code, which makes things more maintainable, for me.",
    "fetchedAt": "2026-09-08T20:36:39.478Z"
  },
  {
    "id": "dlt-probe-1",
    "tier": "probe",
    "url": "https://dlthub.com/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://dlthub.com/llms.txt # dlt \u2014 data load tool & dltHub\n\n> dlt is the open-source Python library for moving data from any source to any destinat",
    "fetchedAt": "2026-09-08T20:37:06.556Z"
  },
  {
    "id": "dlt-probe-2",
    "tier": "probe",
    "url": "https://dlthub.com/docs/intro.md",
    "excerpt": "PROBE docs-md: HTTP 200 at https://dlthub.com/docs/intro.md ---\ntitle: Introduction\ndescription: Introduction to dlt\nkeywords: [introduction, who, what, how]\n---\n\n# Getting started",
    "fetchedAt": "2026-09-08T20:37:06.556Z"
  },
  {
    "id": "dlt-probe-3",
    "tier": "probe",
    "url": "https://dlthub.com/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://dlthub.com/openapi.json, https://dlthub.com/swagger.json, https://dlthub.com/api/openapi.json, https://dlthub.com/.well-known/openapi.json)",
    "fetchedAt": "2026-09-08T20:37:06.556Z"
  },
  {
    "id": "dlt-probe-4",
    "tier": "probe",
    "url": "https://github.com/dlt-hub/dlt-mcp",
    "excerpt": "official MCP server documented at https://github.com/dlt-hub/dlt-mcp",
    "fetchedAt": "2026-09-08T20:37:06.556Z"
  },
  {
    "id": "dlt-probe-5",
    "tier": "probe",
    "url": "https://dlthub.com/docs/reference/command-line-interface",
    "excerpt": "official CLI documented at https://dlthub.com/docs/reference/command-line-interface",
    "fetchedAt": "2026-09-08T20:37:06.556Z"
  },
  {
    "id": "dlt-probe-rt-1",
    "tier": "probe",
    "url": "https://dlthub.com/docs/reference/command-line-interface",
    "excerpt": "PROBE runtime (recorded 2026-09-08): a REAL `dlt init chess duckdb` scaffold ran keylessly in a throwaway fixture \u2014 it fetched the verified source, wrote chess_pipeline.py with runnable pipeline code, a .dlt/secrets.toml template, and requirements.txt ('Verified source chess was added to your project!'). Self-cleaned.",
    "fetchedAt": "2026-09-08T20:42:54.000Z"
  },
  {
    "id": "dlt-probe-rt-2",
    "tier": "probe",
    "url": "https://github.com/dlt-hub/dlt-mcp",
    "excerpt": "PROBE runtime (recorded 2026-09-08): dltHub's official MCP server (pypi dlt-mcp, published by dltHub) completed a FULL keyless stdio initialize handshake via `uv run --with dlt-mcp[duckdb] dlt-mcp` \u2014 serverInfo {name: 'dlt MCP', version: 4.0.3}, instructions 'Helps you build with the dlt Python library', with tools, prompts, and resources capabilities.",
    "fetchedAt": "2026-09-08T20:42:54.000Z"
  },
  {
    "id": "dlt-probe-rt-3",
    "tier": "probe",
    "url": "https://dlthub.com/docs/reference/installation",
    "excerpt": "PROBE runtime (recorded 2026-09-08): the dlt CLI installed keylessly from pypi via uvx and printed 'dlt 1.30.0'.",
    "fetchedAt": "2026-09-08T20:42:54.000Z"
  }
]