> For the complete documentation index, see [llms.txt](https://beosinofficials-organization.gitbook.io/beosin-kyt-user-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://beosinofficials-organization.gitbook.io/beosin-kyt-user-guide/faq.md).

# FAQ

#### What is the Risk Assessment process?

> 1\.  Analyze the target’s counterparty relationships.
>
> 2\.  Calculate the amount and proportion of risky funds.
>
> 3\.  Analyze the target’s transaction behavior patterns.
>
> 4\.  Match the analysis results against configured risk strategies.
>
> 5\.  Output the Risk Level and generate the Risk Assessment result.

#### What is the relationship between the final Risk Assessment result and the assessment results of each dimension?

> The Risk Assessment process follows the principle of maximizing risk exposure. The most severe assessment result in each risk dimension is used as the final result.

#### How is the target’s risky fund amount calculated?

> The risky fund amount is calculated based on a risk propagation algorithm commonly used in the industry.

#### Why can’t I add a token to the Token Basket? What should I do?

> The main reasons are:
>
> 1\.  The blockchain on which the token is issued has not yet been supported by Beosin KYT.
>
> 2\.  The token price data has not yet been collected by Beosin KYT.
>
> If you encounter this issue, please contact your account manager for assistance.

#### Why are the API assessment results inconsistent with the Web assessment results?

> Please check whether the tokens you selected during the assessments are consistent.

#### Why is this assessment result different from the previous one?

> The assessment result may change due to the following reasons:
>
> 1\.  Real-time changes in blockchain transaction relationships.
>
> 2\.  Continuous expansion and updates of the risky entity database.
>
> 3\.  Changes to the configured risk strategies.
>
> 4\.  Upgrades to the risk assessment algorithm.