# API Reference

Below, you'll find links for quick access to API documentation related to Requests and Collections entities. Our APIs are designed around a REST architecture, offering JSON-encoded responses. Authentication is managed through a bearer API token, ensuring secure interactions. For details on setting up API Access - please refer to the [**Product Documentation on APIs**](https://docs.clearfeed.ai/clearfeed-help-center/how-it-works/creating-or-linking-tickets/api)

{% content-ref url="api-reference/requests" %}
[requests](https://docs.clearfeed.ai/api/reference/api-reference/requests)
{% endcontent-ref %}

{% content-ref url="api-reference/collections" %}
[collections](https://docs.clearfeed.ai/api/reference/api-reference/collections)
{% endcontent-ref %}

{% content-ref url="api-reference/channels" %}
[channels](https://docs.clearfeed.ai/api/reference/api-reference/channels)
{% endcontent-ref %}

{% content-ref url="api-reference/custom-fields" %}
[custom-fields](https://docs.clearfeed.ai/api/reference/api-reference/custom-fields)
{% endcontent-ref %}

{% content-ref url="api-reference/teams" %}
[teams](https://docs.clearfeed.ai/api/reference/api-reference/teams)
{% endcontent-ref %}

{% content-ref url="api-reference/insights" %}
[insights](https://docs.clearfeed.ai/api/reference/api-reference/insights)
{% endcontent-ref %}

{% content-ref url="api-reference/customers" %}
[customers](https://docs.clearfeed.ai/api/reference/api-reference/customers)
{% endcontent-ref %}

As ClearFeed evolves, we're committed to expanding our API offerings, providing you with even more tools to enhance your applications. Stay tuned for updates on additional entities and functionalities.


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# Agent Instructions: 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.clearfeed.ai/api/reference/api-reference.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.