> For the complete documentation index, see [llms.txt](https://docs.saas.haut.ai/haut.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.saas.haut.ai/haut.ai/developers/saas-api-overview/api-for-hair-metrics-2.0/curliness.md).
# Curliness
Haut.AI provides an AI algorithm that estimates hair curliness. Response scheme for Hair Metrics 2.0.
## **Description**
Hair type and texture are mostly determined by genetics and the environment. Hair texture can change with age and can be affected by hormonal shifts occurring in the body during pregnancy or menopause. Hair texture is also affected by the sebum production in the scalp skin that decreases with age due to the shrinking of the sebaceous glands. This metric is also affected by the way the hair is styled and treated.
**`"algorithm_tech_name": "curliness"`**
## `area_name`
The algorithm returns metrics for the following area:
* `hair`
## `main_metric`
The main metric indicates the hair curliness category for `area_name`
```javascript
"main_metric": {
"value": "Straight",
"widget_type": "category",
"name": "Curliness",
"tech_name": "curliness",
"widget_meta": null
},
```
* **`value`** of hair curliness is divided into four classes, as listed below:
* `Straight`
* `Wavy`
* `Curly`
* `Kinky`
* `"widget_type": "category"`
* `"name": "Curliness"`
* `"tech_name": "curliness"`
***
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