Create a Positive Check¶

DQ Creating checks

Step-by-step tutorial for creating Positive check on a numeric 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 Positive 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 to evaluate. Only numeric fields (and arrays of numbers) are listed, and the check accepts exactly one.
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	Uses the value of another field on the violating row as the anomaly message instead of the default one. Enabling it shows an Anomaly Message Field dropdown where you pick that field. When the selected field is empty for a violating row, the default message is used.

Create the table or file from the form

If the table or file you need does not exist yet, click Add Computed Table next to the Table / File field while it is empty (Add Computed File on a file-based datastore). Once saved, the new one is selected and pinned to the top of the list with a icon until you close the form. The button appears only with the Author or Editor team permission on the datastore, and not when you add a check from Explore.

Pass Criteria¶

Field	Required	Type	Description
Coverage		Slider	The percentage of evaluated rows that must pass. Defaults to 100%; lower it only when a known fraction of rows is allowed to fail.

Impact¶

Field	Required	Type	Description
Metrics		List	Impact metrics that measure how big a failure is, such as the total amount or the number of customers in the failed records. With an expected range, a metric outside it raises the anomaly's impact and can tag the anomaly. Click Add your first impact metric to start. See Impact Metrics.

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.

No Properties section

Positive has no rule-specific properties: the rule is fully defined by the target, the filter, and the coverage.

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, "order quantity must be a positive number") and it proposes a configuration you can apply to the form. Review the filled-in fields, then Validate and Save as usual.

Steps¶

Each field is described in the Field reference above.

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 Positive in the Rule Type dropdown.

Step 4: Fill in the remaining Target fields: the table or file, the Field to evaluate, and, optionally, a Filter Clause and Custom Anomaly Description.

Step 5: Fill in the Pass Criteria, Ownership, and Metadata sections. Only the Description is required.

Step 6: 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 7: Click Save. A success message confirms that the check was created.