KYA User Guide
Last updated
Last updated
The image below shows the KYA homepage, which supports searching for addresses and transaction hashes. To use it, enter the address you want to query, select the corresponding blockchain, and click the search button. On the right side of the search box, there is a clickable "History" link that allows you to view your search history if you are logged in. Below the search box, there are two example addresses and two example hashes to help you quickly understand our product.
The image below shows the initial section of the search results page, which consists of three sections:
Insights section: We have generated explainable natural language descriptions using LLM(Large Language Model) to provide detailed information about the recommended actions for our customers and an explanation of the risk score.
The following images illustrate additional sections on the search results page, which can be divided into two parts:
Exposure section: Displays the distribution of funds inflow and outflow for the address in tabular and pie chart formats. This helps users quickly understand the risks associated with fund sources and destinations. We also differentiate between direct and indirect exposure. Indirect exposure tracks the multi-hop flow of funds to gain insight.
Transaction details section: Displays the original information of transactions and is divided into receiving and sending.
The content of the transaction hash search results page and the address search results page are very similar, with the key difference being in the Overview section. In the transaction hash search results page, the overview section displays the category, entity, and ML risk score information for both the "from" and "to" addresses involved in the transaction.
Overview section: Displays the ML risk score, balance, category, and entity information of the address. The ML risk score module is our core product capability, providing guidance for users to make informed decisions. We will provide detailed explanations later. The balance module shows the token balance and corresponding amount of the address. Category and entity are used for address identification. The entity represents the real-world identity associated with the address, often referring to a specific organization or application. For example, Coinbase is an entity. To protect privacy, our entity information does not display individual-level details. Category, on the other hand, classifies the real-world business nature of the entity. For example, Coinbase falls under the category of Exchange. For detailed explanations of categories, please refer to . For various reasons, there are cases where we couldn't obtain entity but could retrieve category . Therefore, it is normal for the entity to be empty when the category is known.
Behavior overview section: Displays multiple data indicators to help users quickly understand the address's profile and make comprehensive risk judgments. For an explanation of the data indicators, please refer to .
Below the confidence level are the risk scores for the four subcategories: category, sending exposure, receiving exposure, and suspicious activity. They have the same value range as the ML risk score. For more information about the ML risk score, please refer to .
Please refer to .
