> For the complete documentation index, see [llms.txt](https://docs.oxdata.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.oxdata.io/features/listings.md).

# Listings

Our information gathering module focuses on tracking listings of new cryptocurrency projects on CEX exchanges. Monitoring such information is crucial, as announcements of new listings often lead to increases in the value of these assets on other exchanges, which is vital information for investors.

### Applications

* Detecting listings on CEX exchanges
* Detecting whether a token's price increased before the announcement
* Filtering events by metrics and token types
* Quick information on where the asset can currently be purchased

### Examples

<details>

<summary>Notify if a listed token is in the TOP 500 and in the L2 niche and is available on ByBit</summary>

👷‍♂️ TBA: Tutorial in development

</details>

### Notifications

You will find the detected event in the panel after logging in. Additionally, to quickly react to the most important messages, you can receive notifications on any channel we currently support.

The communication channels we currently support can be found here:

{% content-ref url="/pages/munxEvpfknrqWi8NWY24" %}
[Notifications channels](/features/notifications-channels.md)
{% endcontent-ref %}


---

# 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.oxdata.io/features/listings.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.