Use case

Crypto Fraud Detection Demo

This demo illustrates the capability to identify potentially fraudulent activities by examining extensive transaction networks. Users can discover the most active token addresses, monitor high-value transactions, and trace intricate patterns of interactions between accounts over specific timeframes. By leveraging these queries, crypto trading platforms' compliance and security teams can effectively pinpoint and investigate suspicious behavior across expansive digital currency systems, enhancing security measures and regulatory compliance.

Tech stack

No items found.

Downloads

Sample dataset

Download

Schema JSON file

Download

Query groovy file

Download

Get started with PuppyGraph!

PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model.

Dev Edition

Free Download

Enterprise Edition

Developer

$0
/month
  • Forever free
  • Single node
  • Designed for proving your ideas
  • Available via Docker install

Enterprise

$
Based on the Memory and CPU of the server that runs PuppyGraph.
  • 30 day free trial with full features
  • Everything in Developer + Enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required

Developer Edition

  • Forever free
  • Single noded
  • Designed for proving your ideas
  • Available via Docker install

Enterprise Edition

  • 30-day free trial with full features
  • Everything in developer edition & enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required