> ## Documentation Index
> Fetch the complete documentation index at: https://docs.datachecks.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Monitor data quality by running checks on your datasets and tracking results over time.

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](/agents/data-validation).

## The validations list

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

| Column             | Description                                              |
| ------------------ | -------------------------------------------------------- |
| **Name**           | Validation identifier.                                   |
| **Type**           | The validation category (e.g. Completeness, Uniqueness). |
| **Status**         | Current state — `Healthy`, `Alerting`, or `Failed`.      |
| **Last Results**   | Visual indicator of recent run outcomes.                 |
| **Last Evaluated** | Timestamp of the most recent execution.                  |

## Statuses

| Status       | Meaning                                                      |
| ------------ | ------------------------------------------------------------ |
| **Healthy**  | The metric is within the defined threshold.                  |
| **Alerting** | The metric has crossed the threshold and triggered an alert. |
| **Failed**   | The validation run encountered an error.                     |

## 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

## 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

## 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**.

## Create a validation

Click **New Validation** to configure a new check. See [Configure Validations](/validation/configure) for a step-by-step guide.