We use our internal wallet database and big data analysis to produce custom insights on the crypto ecosystem.
Using graph analysis and data tagging, we parse and classify the activity on the Cryptocurrency network such as BTC, ETH, BCH, and more. We use both on-chain and off-chain data.
We publish some of the results of our research on our blog page (coming soon).
Analytics services deployed on your servers
Bitcoin Address Clustering
Heuristics libraries to get the accurate list of wallet (clusters) for different types of entities
Staking trends, yield calculators, dashboards and other custom analysis
Predictive Analytics & Price Modelling
Price modelling algorithms using labelled databases, early whale alert detection (mempool), machine learning
AML & Tracing Infrastructure
AML Analytics: Taint tracing, propagation algorithms, and more
Labelled Datasets for Your Own Analysis
We have spent a good part of the last 2 years labelling and inferring the addresses on Cryptocurrency Networks. Those datasets can be used for trade and price modelling, research or anti money laundering (AML) purposes. If you think such a dataset can help you, contact us.