> 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/color-uniformness.md).
# Color Uniformness
Haut.AI provides an AI algorithm that estimates the level of uniformness in hair color. Response scheme for Hair Metrics 2.0.
## **Description**
This metric shows how uniform the hair color is. Various factors can lead to hair color being uneven, from coloring the hair and overuse of heat styling procedures to genetics and aging. Sometimes, uneven hair color and texture can be a direct sign of poor hair health, which can be caused by various nutritional, genetic and metabolic disorders.
**`"algorithm_tech_name": "volume"`**
## `area_name`
The algorithm returns metrics for the following area:
* `hair`
## `main_metric`
The main metric indicates the hair color uniformness category for `area_name`
```javascript
"main_metric": {
"value": "Uniform Hair Color",
"widget_type": "category",
"name": "Color Uniformness",
"tech_name": "color_uniformness",
"widget_meta": null
},
```
* **`value`** The uniformness can be divided into two classes based on `value`:
* `"Uniform Hair Color"`
* `"Uneven Hair Color"`
* `"widget_type": "category"`
* `"name": "Color Uniformness"`
* `"tech_name": "color_uniformness"`
***
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