> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-agentix/reference-and-developer-docs/cortex-agentix-xql/build-xql-queries/how-to-build-xql-queries/useful-xql-user-interface-features.md). # Useful XQL user interface features Use XQL query interface features in Cortex AgentiX. The user interface contains several useful features for querying data, and for viewing results: * **XQL query**: The XQL query field is where you define the parameters of your query. To help you create an effective XQL query, the search field provides suggestions and definitions as you type.

Note

Schema changes to datasets may not be reflected in the autocomplete suggestions and definitions as you type in real time the XQL query and can appear with a slight delay.

Tip

When creating XQL queries, you can:

* **Translate to XQL**: Converts your existing Splunk queries to the XQL syntax. When you enable Translate to XQL , both an **SPL query** field and an **XQL query** field are displayed. You can easily add a Splunk query, which is converted automatically into XQL in the **XQL query** field. This option is disabled by default. * **Query Results**: After you create and run an XQL query, you can view, filter, and visualize your **Query Results**. * **XQL Helper**: Describes common stage commands and provides examples that you can use to build a query. * **Query Library**: Contains common, predefined queries that you can use or modify to your liking. In addition, there is a personal query library for saving and managing your own queries so that you can share with others, and queries can be shared with you. For more information, see [Manage your personal query library](/cortex-agentix/reference-and-developer-docs/cortex-agentix-xql/build-xql-queries/manage-your-personal-query-library.md). * **Schema**: Contains schema information for every field found in the result set. This information includes the field name, data type, descriptive text (if available), and the dataset that contains the field. * For dataset queries, it contains the list of all the fields of all the datasets that were involved in the query. * For data model queries, it contains the list of all the data model fields. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://cortex-docs.paloaltonetworks.com/cortex-agentix/reference-and-developer-docs/cortex-agentix-xql/build-xql-queries/how-to-build-xql-queries/useful-xql-user-interface-features.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.