Fabricate

Fabricate lets you create a test database from a blank canvas. You define each table and column yourself, and assign a data generator to populate each field. There is no source datasource required. Use Fabricate when you need a custom dataset that doesn’t map to an existing production schema.

Create a test database

Navigate to Test Data → Fabricate in the left sidebar.
Click New Database.
Enter a Database Name.
Click Submit.

Database View

The Database View is where you build your tables and configure column generators.

Add a table

Click New Table in the top navigation bar. Choose how to create the table:

Option	Description
Table	Import columns from an existing datasource table. Select a datasource, then a dataset, then choose which columns to include.
View	Import columns from a datasource view. Select a datasource, then a view, then choose columns.
Virtual Table	Add a pre-built virtual table. All columns are included automatically.

Configure a column

Click the edit icon on any column to open the column editor:

Field	Description
Column Name	Name of the column.
Generator	The data generator to use. Search by name or browse by category. Each generator shows a description and example output.
Hide Column	If enabled, this column is excluded from the generated output.
Unique	Enforce uniqueness across all generated values for this column.
Null Percentage	Percentage of rows that will contain a null value (0–100).
Format	Optional format pattern for the generated value.
Mask	Optional mask pattern applied to the value.

Generator types

Generator	Description
Standard generators	Email, phone, name, address, and more. See Test Data Generators for the full list.
value_of_column	Copies values from a specific column in a connected datasource. Select the dataset and column.
custom_function	An AI-generated function based on the column name.
similar_values	Generates values similar to a list of examples you provide.
category_value	Generates values from a selected category.
value_of_virtual_table	Draws values from a pre-built virtual table.

Add a column

Click Add Column within any table to add a new column and assign a generator to it.

Row count

Click the edit icon next to the row count in the column table header to set how many rows to generate for each table.

Table View

The Table View previews the generated data. Select a table from the left sidebar to see a sample of the generated rows. From here you can:

Download Data — Save the generated dataset as a file.
Export YAML — Export the generator configuration for reuse or version control.
Regenerate Data — Trigger a new generation run with the current configuration.

Foreign Keys

Define relationships between tables to maintain referential integrity in the generated data. Click New FK to create a relationship:

Foreign Key — Select the table and column that holds the foreign key.
Primary Key — Select the table and column it references.

Data Targets

Data Targets define where the generated data is delivered — for example, an API endpoint or webhook.

Field	Description
Name	A label for this target.
Request Type	HTTP method — GET, POST, PUT, or DELETE.
Link	The endpoint URL.
Headers	Key-value pairs added to the request.
Request Body	JSON payload sent with the request.
Target Type	The type of destination.

Getting Started

Agents

Integrations

Features

Reference

Create a test database

Database View

Add a table

Configure a column

Generator types

Add a column

Row count

Table View

Foreign Keys

Data Targets

​Create a test database

​Database View

​Add a table

​Configure a column

​Generator types

​Add a column

​Row count

​Table View

​Foreign Keys

​Data Targets

Create a test database

Database View

Add a table

Configure a column

Generator types

Add a column

Row count

Table View

Foreign Keys

Data Targets