> 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/energylabel-insights-api/output-interpretation.md). # Output interpretation An explanation and interpretation of every feature outputted in the API response. ### Current insights The insights based on the current energy label of the house.

Feature	Example	Explanation
stratification	('B', 'Dorpskern', 'vrijstaand', '1990-2004', '>150')	The most complete features stratification existing in our database
mean_sales_duration	124.0	The mean value of the sales duration, on number of days, of the houses belonging to the same stratification.
median_sales_duration	144.0	The median value of sales duration, on number of days, of the houses belonging to the same stratification.
mean_diff_price	28733.0	The mean value of the difference between transaction price and asking price, of the houses belonging to the same stratification.
median_diff_price	42000.0	The median value of the difference between transaction price and asking price, of the houses belonging to the same stratification.

### Target insights The insights based on the desired energy label for the house.

Feature	Example	Explanation
stratification	('A', 'Dorpskern', 'vrijstaand', '1990-2004', '>150')	The most complete features stratification existing in our database
mean_sales_duration	118.0	The mean value of the sales duration, on number of days, of the houses belonging to the same stratification.
median_sales_duration	118.0	The median value of sales duration, on number of days, of the houses belonging to the same stratification.
mean_diff_price	-12375.0	The mean value of the difference between transaction price and asking price, of the houses belonging to the same stratification.
median_diff_price	-17250.0	The median value of the difference between transaction price and asking price, of the houses belonging to the same stratification.

### Delta The delta between the current insights and the target insights.

Feature	Example	Explanation
mean_sales_duration	6.0	How much the mean sales duration, in days, would change if the energy label of the house went from the current energy label to the desired (target) energy label.
median_sales_duration	26.0	How much the median sales duration, in days, would change if the energy label of the house went from the current energy label to the desired (target) energy label.
mean_diff_price	41108.0	How much the mean difference of the (transcaction price - asking price) would change if the energy label of the house went from the current energy label to the desired (target) energy label.
median_diff_price	59250.0	How much the median difference of the (transcaction price - asking price) would change if the energy label of the house went from the current energy label to the desired (target) energy label.
mean_diff_price_percentage	143.1	The percentage (%) of change of the mean difference of the (transcaction price - asking price) if the energy label of the house goes from the current energy label to the desired (target).
median_diff_price_percentage	141.1	The percentage (%) of change of the median difference of the (transcaction price - asking price) if the energy label of the house goes from the current energy label to the desired (target).
ecovalue	12872	The increase or decrease of the transaction price, if the energy label of the house, goes from the current energy label to the desired (target).

--- # 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/sustainability/energylabel-insights-api/output-interpretation.md?ask=&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.