> 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/sustainability/nta-8800-energylabel-v2-api/frequently-asked-questions-faq.md).

# Frequently Asked Questions (FAQ)

### When using user input `measures_method = 4` and only a subset of measures are being provided, what is the source of the other measures?

When using **user input (`measures_method = 4`)**, the API uses the measures provided in the request as the basis for the calculation.

If only a **subset of measures** is provided, the remaining measures are determined using the model’s internal defaults based on the building characteristics (such as build year, house type, and surface area).

If **at least one measure is provided by the user**, **external sources and machine learning models are not used** to determine the remaining measures.

However, the calculation may still adjust a provided measure due to **model restrictions or building regulations**. In such cases, the system replaces the value with the closest allowed value and returns a **warning** in the response.

<pre><code>{
<strong>  "code": "03",
</strong>  "description": "wall_insulation: 2 is not allowed for build_year: 2010. Allowed values: [4]. Set wall_insulation: 4."
}
</code></pre>

If users want to see the **baseline estimation without user overrides**, they can first call the API **without providing measures**, and then reuse or modify those measures in a subsequent request.


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