Blockchain analytics providers play a crucial role in supplying compliance teams, regulators, and investigators with vital intelligence to combat illicit activities. However, the effectiveness of these tools hinges on the quality of the data they provide. To ensure reliability, it is essential to scrutinize the data quality of blockchain analytics providers. This entails inquiring about their data collection methods, processing techniques, and validation protocols. For instance, understanding how they handle anomalies, outliers, and inconsistencies in the data is vital. Moreover, knowing the frequency of their data updates and the granularity of their data sets can significantly impact the accuracy of the insights generated1. By posing targeted questions to blockchain analytics providers, organizations can make informed decisions about the suitability of their tools. This matters because regulatory requirements are becoming increasingly stringent, and having a thorough understanding of data quality can provide a competitive advantage in compliance.