Create a Required Values Check

Step-by-step tutorial for creating a Required Values check that confirms a set of values is present in a field. For what each property means and how the rule evaluates the data, see the How It Works page.

Permission Required

You need the Author team permission on the datastore to create an Active check, or Drafter to create it as a Draft. See the Permissions page for the full matrix.

Show me how

The app can walk you through this. Click Show me how in the check creation form's header, or press H while it is open, and the Add a Check walkthrough highlights each step while you fill in the real form.

Field reference

The Authored Check Details form is organized in the sections below. Fill them in as you follow the Steps.

Target

Field	Type	Description
Associate with a Check Template	Toggle	Links the check to a Check Template. Enabling it replaces the Rule Type dropdown with a Template dropdown where you pick an existing template, which then controls the check's properties. When off, you configure everything on this form.
Rule Type	Option	The validation logic to apply. Select Required Values for this check. Shown only while Associate with a Check Template is off.
Table / File	Option	The table or file the check runs against. Locked after the check is saved.
Field	Option	The field the check examines. The rule declares no type filter, so no field is blocked, but it is meant for the scalar types: `Date`, `Timestamp`, `Integral`, `Fractional`, `String`, and `Boolean`.
Filter Clause	Text	A SQL `WHERE` expression that limits the rows the check evaluates. Rows outside the filter are ignored entirely.
Custom Anomaly Description	Toggle	Has no effect on this rule. The option replaces the message on Record Anomalies, and Required Values emits a Shape Anomaly only.

Properties

Field	Required	Type	Description
Values		List	The values that must each appear at least once in the field. Add them one at a time; the list is not derived from the data.

Pass Criteria

Field	Required	Type	Description
Coverage		Slider	Shown because it is part of the shared check form, but it has no effect on this rule: Required Values evaluates the column as a set, so there is no per-row pass rate to relax.

Ownership

Field	Required	Type	Description
Owner		Option	The user responsible for the check. Already filled in with the check creator.
Anomaly Assignee		Option	The user automatically assigned to anomalies the check produces.

Metadata

Field	Type	Description
Description	Text	A plain-language description of what the check enforces. Supports Markdown formatting: click the field to open the Markdown editor. Click the Apply suggested description button for a suggestion based on the rule type.
Tags	Option	Tags applied to the check for filtering and organization.
Additional Metadata	Key-value	Custom key-value pairs, typically links to catalog entries, tickets, or governance records.

Let AgentQ fill in the form

When AgentQ is configured for your deployment, the Check Assistant panel in the check form can author the check for you: describe the rule in plain language (for example, "every order priority from 1-URGENT to 5-NOT URGENT must appear in the orders table") and it proposes a configuration you can apply to the form. Review the filled-in fields, then Validate and Save as usual.

Steps

Step 1: Select the source datastore from the left menu, then click the Checks tab.

Step 2: Click Add in the top-right corner and select Check from the dropdown. The Authored Check Details form opens.

Step 3: Select Required Values in the Rule Type dropdown.

Step 4: Fill in the required fields and any optional ones you need. Every field is described in the Field reference above.

Step 5: Click Validate to test the rule against the selected data without saving it. A success message confirms the rule can run on that data. If validation fails, see Troubleshooting.

Step 6: Click Save. A success message confirms that the check was created.