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

# Analyze User Queries

> Understand your users interactions

## Overview

Metal provides a way to analyze user queries and understand how users interact with your application.
This is done by accesing the `Analytics` tab in your [application dashboard.](https://app.getmetal.io)

<img src="https://mintcdn.com/metal/JlNJrP-9OzWcypuS/images/queries-01.png?fit=max&auto=format&n=JlNJrP-9OzWcypuS&q=85&s=3169bb0f2c2071255e87a863d21ca680" alt="queries-1" width="1840" height="781" data-path="images/queries-01.png" />

You can also access the queries via the [Metal API](http://localhost:3000/rest-api/analytics/get-queries).

<CodeGroup>
  ```python Python theme={null}
  metal.get_queries("index_id")
  ```

  ```javascript Node theme={null}
  const queries = await metal.getQueries("index-id");
  ```
</CodeGroup>

The response will be an array of objects, each representing a query.

```json theme={null}
{
  "data": [
    {
      "t": "2023-08-30T11:34:35.128Z",
      "d": 0.176956892014,
      "q": "Who is the best drummer of all time?"
      },
    {
      "t": "2023-08-29T11:34:18.099Z",
      "d": 0.156819581985,
      "q": "Which band is represented by the iconic mascot Eddie?"
    }
  ]
}
```

Where:

* t: Timestamp of the query
* d: Cosine distance between the search query and the retrieved embedding. A smaller value indicates a closer match.
* q: Actual user query