Visa data suggests most stablecoin activity is stripped out after filtering, with $1.1T still clearing in 30 days

Stablecoins have been promoted as a way to move money on public blockchains with speed and predictable value, but Visa’s latest look at real-world usage suggests the picture is more complicated than headline totals imply. Visa’s onchain analytics dashboard estimates that stablecoins processed $4.8 trillion over the past 30 days across 1.6 billion transactions. The numbers come from Visa’s attempt to measure transaction activity that could be relevant to payment flows, not just raw network activity.

In the same reporting, Visa said its methodology removes a large share of activity that appears to be generated by automated behavior, such as bots. After the filtering adjustments, the volume that “survives” the process drops to $1.1 trillion. Put differently, the original total stablecoin throughput is much larger than the adjusted figure that Visa presents after accounting for activity it treats as non-core.

The adjustment is central to how Visa frames the state of stablecoin rails. Visa’s dashboard does not portray stablecoin usage as a purely binary metric of “how much value moved.” Instead, it emphasizes that transaction counts and gross volume can be inflated by non-payments activity, including high-frequency automation. Visa’s filtering approach is meant to better isolate activity that looks closer to user-driven transfers.

The reporting also indicates the filtering eliminates a substantial portion of the activity. While the exact breakdown of the removed activity was not detailed in the available post, Visa’s approach in the dashboard is described as removing activity such as bots, which the article characterizes as responsible for most of the gap between the gross and filtered totals. The result is a narrower range of stablecoin flow that may be more useful for assessing adoption.

For Visa, stablecoin measurement is not just an exercise in market sizing. Stablecoins have become a widely discussed bridge between blockchain settlement and traditional payment systems, and they have drawn interest from major payment networks, banks, and regulators. Visa’s public-facing analytics offer a way to quantify how much transactional value is occurring on-chain, and then apply adjustments that make the data more comparable to payments concepts like active user transfers rather than raw throughput.

Sector-wide, stablecoins remain a fast-moving segment of crypto infrastructure, but they are also a target for tighter scrutiny. Regulators and payment firms have repeatedly focused on issues like market integrity, transparency, and whether on-chain activity reflects genuine economic demand or speculative churn. Analytics that separate human-driven payments from automation-related traffic can affect how policymakers and financial institutions interpret growth.

There is an important limitation to the available information. The figures come from Visa’s onchain analytics dashboard as reported by a third-party outlet, and the available material does not provide the full technical definition of the filters, the time window boundaries, or the specific rules used to decide which transactions are excluded. It also does not clarify whether the remaining $1.1 trillion includes all relevant stablecoins and all routes of transfer, or how Visa treats large exchanges, internal transfers, or transfers between regulated counterparties.

What to watch next is whether Visa continues publishing updated dashboard figures and whether the methodology remains consistent over time. If Visa changes the filtering rules, the gross versus filtered comparison could shift even if underlying network usage stays flat. Investors and payment market participants may also look for whether similar analytics appear across other payment networks, which would help establish whether these adjustments are becoming a standard way to evaluate real stablecoin payment activity.