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Data Platform · Integration

dbt

Once the AI agent data index is loaded into your warehouse, dbt transforms it into reliable models. Sourcing.sh becomes a declared source in your dbt projects.

Study the connection to dbtSee dbt ↗

What Sourcing.sh communicates with dbt

Refresh the data

Your records are re-crawled and updated continuously — the data no longer dies.

Index is the source: dbt references Sourcing.sh data as the source, applies your SQL transformations, tests and documentation, then exposes clean models. Fresh data modeled and governed, ready to feed dashboards and use cases.

This record describes a compatibility to study. Availability, data exchanged, required rights and any costs are confirmed before activation. General API and webhooks require Scale.

Your workflow

The right data. The right action.

New information, a detected change or a record to complete: your agent checks the data and applies the rules you defined.

Create a record, update approved fields or request human approval: you stay in control before data reaches your tool.

Define my workflow

How it works

  1. 01

    Frame connection to dbt

    Confirm compatible objects and necessary rights: OAuth, API key or export.

  2. 02

    Define exchanges

    Choose the fields to complete and the update rules in dbt.

  3. 03

    Plan the checks

    Choose the cadences and actions to trigger when a change is detected.

Discover the API

Your next step

Turn data into action.

Find the right contacts, keep your data up to date and connect your tools.

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