Overview

Validations are rules applied to your datasets that measure specific metrics and flag anomalies. For example:

• Count total transactions in the payments table every day
• Track the percentage of duplicate entries in the customer_email column

Validations can be created manually, suggested automatically when a dataset is discovered, or generated by the Data Validation agent.

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The validations list

Navigate to Validations in the left sidebar to see all validations in your workspace.

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Statuses

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Filters

Use the filter bar to narrow the list by:

• Status — Healthy, Alerting, or Failed
• Category — Validation category group
• Method type — The specific check method
• Threshold type — Static, dynamic, or anomaly-based
• Collections — Custom groupings of related validations
• Data source — The connected database
• Search — Filter by name or run ID

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Actions

Each validation row supports the following actions:

• Run — Execute the validation immediately
• Pause — Suspend scheduled execution
• Edit — Modify the validation configuration
• Delete — Remove the validation
• View details — Open the full results and metrics view

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Collections

Group related validations into collections to run them in parallel or organize them by domain. Select one or more validations and click Add to Collection.

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Create a validation

Click New Validation to configure a new check. See Configure Validations for a step-by-step guide.