> For the complete documentation index, see [llms.txt](https://docs.vitruveo.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.vitruveo.xyz/ecosystem/projects/xibit/search.md).

# Search

{% embed url="<https://search.vitruveo.xyz/>" %}

**Embracing a Broad Searchability Approach**

* **Accessible to All**: Unlike conventional marketplaces, our query repository is designed to be openly accessible, enabling a wider audience to explore and discover blockchain assets with ease.
* **Integration with Asset Base**: To maintain consistency and reliability, all assets listed in the repository are required to be registered through Vitruveo's Asset Base. This ensures that every asset adheres to our high standards of metadata, licensing, and digital signing.

**Encouraging Diversity in Marketplaces**

* **Support for Multiple Marketplaces**: While we provide a foundational query repository, Vitruveo actively encourages the development of various independent marketplaces within its ecosystem.
* **Leveraging the Asset Base**: These marketplaces, diverse in their offerings and specializations, will utilize the Asset Base as a cornerstone for asset listings, ensuring a unified standard of quality and authenticity across the platform.

VTRU Search is available at <https://search.vitruveo.xyz>


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# 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 dynamically by asking a question.

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

```
GET https://docs.vitruveo.xyz/ecosystem/projects/xibit/search.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.