# Endpoint Experience

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Due to recent platform-wide naming, navigation, and URL changes in the product, you may notice some discrepancies between the product and the screenshots displayed in our technical documentation. The instructions and actual pages in the product are still valid and haven’t changed. Please bear with us as we update our screenshots to better match the in-product experience. See the full scope of changes on [Naming and Navigation Menu changes - Summary List](https://docs.thousandeyes.com/whats-new/naming-and-nav-phase-2-changes).
{% endhint %}

As applications now run in the cloud and workers are more distributed, you can use ThousandEyes end-user monitoring to gain visibility into each employee's experience of SaaS and internally hosted applications, as well as underlying wireless LAN, WAN, Internet connectivity and system health.

## End-User Monitoring with Endpoint Agents

The Endpoint Agent is a lightweight service installed on an end user's laptop or desktop that monitors applications through a browser plug-in. Because Endpoint Agent goes where the user goes, you can use it to troubleshoot performance issues related to Wi-Fi, bandwidth capacity, ISP routing, VPN gateways, and SaaS availability.

## Autonomous System (AS) Metadata

This product includes autonomous system (AS) names and related metadata from datasets maintained by internet registries and other publicly available resources. For a complete list of the source data sets used in this product, reference [Autonomous System (AS) Data Sources](https://docs.thousandeyes.com/product-documentation/tests/bgp-tests#autonomous-system-as-data-sources).


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.thousandeyes.com/product-documentation/end-user-monitoring.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.