Stablecoins pose Anti-Money Laundering (AML) and Combating the Financing of Terrorism (CFT) so it makes sense to know if the supply of stablecoins is increasing or decreasing, and analyzing what effect that has.

With highly customizable measures, you can investigate correlations between the rate of minting or burning stablecoins and AML and CFT issues, as well as average transaction sizes to determine if stablecoins are being used in retail or institutional sizes.

Before the crash of Terra-Luna and its UST algorithmic stablecoin, few regulators knew even what a stablecoin was. Decentralized stablecoins are often the first place to detect signs of trouble. Keep your finger on the pulse with constant monitoring of decentralized stablecoins that have the ability to affect your financial system.

Sleep easy knowing the metrics you’ve set are constantly monitored so you get alerted as soon the metrics you’ve specified are triggered. Set thresholds for everything from median transaction size, to number of transactions, and so much more.

Who’s minting the most stablecoins? Who’s burning them? Who’s sending them out and who’s receiving them?

ChainArgos helps you answer all these questions and more, including programmatic address labeling that gives you specific insight into stablecoin use.

ChainArgos was the first blockchain intelligence firm to reveal the qualitative differences in transactions of the same stablecoin between different blockchains.

Take your analysis further by determining the average stablecoin transfer size, and what the distribution of transfer sizes is for a stablecoin on any given blockchain. Are the stablecoin transfers retail or institutional amounts? How often are these stablecoins being moved and at what size?

Analyze stablecoin transaction behavior to determine if a stablecoin is being used for payments (unlikely to affect crypto-asset prices), or for speculation (more likely to affect crypto-asset prices) and analyze differences in stablecoin use across different blockchains.