> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pingintel.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Terrafuse AI Wildfire Risk Score

**Code: TF\_WWLS**

Terrafuse AI's Wildfire AI model uses physics-informed machine learning to predict the likelihood of a wildfire occurring at a given location over the next year, delivered as a 1-10 risk score at roughly 30-square-meter resolution, trained on 50+ environmental variables and validated against historical fire and insurance claims data.

[Vendor website](https://www.terrafuse-ai.com/solutions) · [Data dictionary (.xlsx)](https://data-api-dev.sovfixer.com/api/v1/datasources/TF_WWLS/data_dictionary.xlsx)

**Required input:** `latitude`, `longitude`<br />
**Supported countries:** US

<Note>
  When Ping.Extraction fetches this data on your behalf, the Ping JSON format
  makes these payloads available under the `external_data[TF_WWLS]` key of each building.
</Note>

| **Data Element**             | **Description**                                                                              |
| :--------------------------- | :------------------------------------------------------------------------------------------- |
| tf\_ca\_wwls\_score          | 98th percentile of weekly wildfire likelihood (LFP98), 0-1. `percentage` **Values:** 0.0-1.0 |
| tf\_ca\_wwls\_risk\_category | Terrafuse wildfire likelihood risk tier. `text`                                              |