In Crystal’s latest platform update, we’ve added a global Crystal monitor all in the same tool, configured our indirect connections, and implemented a path search for customer connections.
In the latest Crystal platform release, we’ve upgraded the Crystal Blockchain monitor to cover all possible currencies and blockchains available in Crystal, all in the same tool. As a result, users will now be able to group all transfers by customers and see the relevant statistics on the monitor, regardless of the blockchain on which the transaction was made.
The customer page will contain the aggregated statistics for all currencies, the connections for all currencies, or for an asset selected by the customer, the graph of transfers by volume, and the graph of transfers by currency.
This new feature will allow users to add new transfers more easily, and obtain aggregated statistics for all transfers made by customers in different currencies on different blockchains.
In the latest update, we’ve also introduced further configurability for our indirect connections. So you can now select two new parameters: the depth and the number of entity transactions.
Depth is the number of hops considered by the algorithm for building the indirect connections. By selecting the entity transactions value, users can specify the number of transactions an unknown entity must have to be considered as a VASP.
The algorithm will stop tracing the funds after an unknown VASP is reached. Such entities will be recorded on the table of connections and will be shown on the diagram as Unknown VASPs (they will also be divided into subcategories and color encoded based on their risk score).
This feature allows users to get more precise connections for entities as well as configuring the algorithmic results.
Our third addition this month is the implementation of a path search for customer connections. This feature similar to the feature for entity connections, as it allows users to build a chain of transactions from a customer to an entity reached by the connections algorithm.
In such a way, users can export the path and use it as proof of a customer’s interactions.
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