> For the complete documentation index, see [llms.txt](https://docs.altum.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.altum.ai/english/property-data/auto-suggest-api.md).

# Autosuggest API

Query the Autosuggest API for a Dutch home to get an automated suggestion.

## Introduction

The Autosuggest API is a sophisticated tool designed to facilitate address entry for Dutch homes, offering real-time automated suggestions and completions. This technology is aimed at enhancing the accuracy of property selection within an application, streamlining the user's search experience.

Detailed functionalities of the Autosuggest API include:

* Real-time generation of address suggestions as the user types, reducing the likelihood of input errors and speeding up the data entry process.
* Intelligent completion algorithms that predict and provide full addresses based on partial information, ensuring users can quickly find and select the correct property.
* A user-centric design that improves the overall journey for customers within the application by making property searches more efficient and user-friendly.

This API is particularly advantageous for real estate platforms, location-based services, and any application where precise address information is crucial, providing a seamless and intuitive interface for end-users.


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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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.altum.ai/english/property-data/auto-suggest-api.md?ask=<question>&goal=<user_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.