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

# Output Specifications

All the generated outputs will be available as a response payload for the result call. Along with the JSON, the generated output files will also be available as URLs in the response payload.

## .result

.result attribute will contain all the relevant findings from AI models like reports, files, etc.

## .result.report

A report in the result attribute is the textual summary of the AI findings.

{% hint style="info" %}
This attribute is returned as a list of strings by default. The return value can be configured as a concatenated string by specifying a custom delimiter.
{% endhint %}

## .result.files

All the generated output files are available to download via a link.

{% content-ref url="/pages/sczn32AhCIKViZSlWAQv" %}
[qXR](/api/platform-api/output-specifications/qxr.md)
{% endcontent-ref %}

{% content-ref url="/pages/1oRqzaUEUuTqZqD1Gmr4" %}
[qER](/api/platform-api/output-specifications/qer.md)
{% endcontent-ref %}

{% content-ref url="/pages/kEt1DDn0jyFSjPFvrOQt" %}
[qCT](/api/platform-api/output-specifications/qct.md)
{% endcontent-ref %}

{% content-ref url="/pages/g85symfZvT4KRBa6U1Cn" %}
[qMSK](/api/platform-api/output-specifications/qmsk.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://documentation.qure.ai/api/platform-api/output-specifications.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.