There is currently an increasing demand for cryptoasset analysis tools among cryptoasset service providers, the financial industry in general, as well as across academic fields. At the moment, one can choose between commercial services or low-level open-source tools providing programmatic access. In this paper, we present the design and implementation of another option: the GraphSense Cryptoasset Analytics Platform, which can be used for interactive investigations of monetary flows and, more importantly, for executing advanced analytics tasks using a standard data science tool stack. By providing a growing set of open-source components, GraphSense could ultimately become an instrument for scientific investigations in academia and a possible response to emerging compliance and regulation challenges for businesses and organizations dealing with cryptoassets.
@article{arxiv.2102.13613,
title = {GraphSense: A General-Purpose Cryptoasset Analytics Platform},
author = {Bernhard Haslhofer and Rainer Stütz and Matteo Romiti and Ross King},
journal= {arXiv preprint arXiv:2102.13613},
year = {2021}
}