> For the complete documentation index, see [llms.txt](https://help.screena.ai/resources/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.screena.ai/resources/faq/integration.md).

# Integration

{% content-ref url="/pages/J5rUW95prFq4xiX1H3Ej" %}
[Can clients configure the solution themselves or would they need support from you?](/resources/faq/integration/can-clients-configure-the-solution-themselves-or-would-they-need-support-from-you.md)
{% endcontent-ref %}

{% content-ref url="/pages/sZZV4sKiaqiI09m2Qqfk" %}
[Do you partner with any other solutions/vendors?](/resources/faq/integration/do-you-partner-with-any-other-solutions-vendors.md)
{% endcontent-ref %}

{% content-ref url="/pages/faJWdD8562VPgYanDJPy" %}
[Do you provide technology or solutions to support alert remediation investigation?](/resources/faq/integration/do-you-provide-technology-or-solutions-to-support-alert-remediation-investigation.md)
{% endcontent-ref %}

{% content-ref url="/pages/OCHH384uNEklv0PVxBPa" %}
[Can Screena be integrated within third-party platforms and systems?](/resources/faq/integration/can-screena-be-integrated-within-third-party-platforms-and-systems.md)
{% endcontent-ref %}

{% content-ref url="/pages/f5gnhHBcCk4phvH1RIXr" %}
[How do you handle changes to your API data model?](/resources/faq/integration/how-do-you-handle-changes-to-your-api-data-model.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://help.screena.ai/resources/faq/integration.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.
