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

# Introduction

### All processes digital, smart and as simple as possible!

With EverReal you get a digital solution that not only makes your day-to-day work much easier, but also significantly increases the profitability of individual areas of responsibility in real estate management and marketing. While speed in the selection of prospects and applicants, customer satisfaction through quick reactions, ability to provide information to clients and quality levels in communication increase, error rates decrease due to uniform templates, processing time through automated processes and smart functions.

Using this API you can connect to most of the functionality that Everreal has to offer. Here are some things that you can do:

* import & update master data (owners/property/unit/tenants)
* Configure Webhooks for varieties of purposes


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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, and the optional `goal` query parameter:

```
GET https://api-docs.everreal.co/introduction.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.