A blockchain study published on 19 October found that a cluster of 110 wallets generated 99.6% of recorded RLUSD payment transactions on the XRP Ledger during a 30-day period.
Bitquery attributed approximately 7.79 million of 7.82 million payments between 19 September and 18 October to repeated, tiny transfers directed to three collector wallets. The finding concerns transaction counts, rather than the proportion of RLUSD value transferred. Bitquery
Key Takeaways
- Bitquery identified a cluster of 110 wallets sending repeated small payments.
- The cluster dominated transaction counts during the measured period.
- Millions of transfers carried only a small combined value.
- Shared funding and recipients supported the clustering analysis.
- The study does not identify who operated the wallets.
Millions of Payments, Limited Value
According to Bitquery’s investigation, the payments to the three collectors carried approximately 7,722 RLUSD in total. Individual transfers averaged roughly one-tenth of a cent.
The researchers grouped the wallets through shared recipients and funding patterns. This is an analytical inference from blockchain records, rather than confirmation from an identified operator. Bitquery
The contrast illustrates how a network can register millions of transactions without those transactions representing substantial spending.
For readers learning how stablecoins work, a recorded payment means tokens moved between accounts. It does not automatically establish that a customer purchased something or settled an invoice.
Why Payment Counts Need Context
Transaction counts measure frequency. Transfer value measures the amount moved. Neither, by itself, reveals the commercial purpose behind the activity.
One automated system can generate thousands of transfers. Conversely, a business might settle a large supplier invoice through a single transaction. Comparing the two solely by payment count would give a misleading picture of their economic significance.
Wallet counts require similar care. One person can control several addresses, while a custodian can hold assets for many customers through a shared address.
Evaluating payment adoption therefore requires several measures together: transaction size, repeat activity, distinct counterparties and evidence of actual use.
What the Study Does Not Establish
Bitquery said the cluster received funding from Binance-labelled addresses, but that does not establish that Binance operated it. The researchers also cautioned against inferring motives from the timing of changes in activity.
The investigation concerns RLUSD payments on the XRP Ledger during a defined period. It does not measure all RLUSD activity across every supported network. Bitquery
These limitations leave an important distinction between observing activity and explaining who caused it or why.
What Matters for Payment Adoption
For businesses, stronger evidence comes from whether customers and suppliers use a payment method reliably and find it useful.
UPay’s coverage of business attitudes toward stablecoin payments highlights demand and operational suitability. Its reporting on cross-border crypto remittances also examines the costs and access conditions behind transfer figures.
Those considerations help connect blockchain statistics with the experience of sending and receiving money.
Conclusion
The RLUSD study demonstrates why transaction totals need careful interpretation. Assessing stablecoin adoption requires looking beyond the number of recorded payments to their value, purpose and concentration among participants.
