Token Terminal’s agentic payments explorer shows AI agents initiating 73.0 million stablecoin transfers over the past 180 days, with USDC accounting for virtually all of the activity.

The explorer data also points to a concentration of transfers on a small number of networks. Base led with 38.7 million transfers, while Polygon followed with 26.1 million, according to Token Terminal.

The figures describe transfer activity initiated by AI agents, not a broader measure of stablecoin adoption across the market. The available data also does not by itself explain who the agents were, what applications they were using or whether the transfers reflect sustained operational usage beyond the measured period.

Still, the numbers offer a concrete snapshot of how agent-driven payments are appearing in onchain data. In this case, the activity is largely tied to USDC and concentrated on Base and Polygon, which makes the breakdown more specific than a generic claim about AI and crypto payments.

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Fetch.ai said a winning LA Hacks project called MultiEval used its specialist AI agents to test how multi-agent systems should delegate work, with the system running a 50-agent simulation of the US economy overnight.

50 specialized AI Agents ran a simulation of the US economy overnight.

A winning @LAHacks project, MultiEval, used @Fetch_ai‘s specialist agents to test how multi-agent systems should delegate work.

This system autonomously improved another Agent harness and was used to run a…

— Fetch.ai (@Fetch_ai) August 20, 2026

In a post on the company’s official X account, Fetch.ai described MultiEval as a project that used its specialist agents to evaluate other agents and improve an agent harness autonomously. The company said the setup ran through ASI:One and framed the process as “agents evaluating agents.”

How the LA Hacks project was described

According to Fetch.ai, MultiEval was used to test delegation inside multi-agent systems, with specialist agents helping run the benchmark and improve the harness used for the simulation. The company did not provide additional technical details in the post about the exact structure of the evaluation or the full scope of the overnight run.

The post adds to Fetch.ai’s broader LA Hacks presence, but the central claim is limited to the project’s use of specialist agents, the 50-agent simulation and the ASI:One workflow described by the company.

Fetch.ai also has a LA Hacks event page on its official site, which places the project in the context of its hackathon participation and agent-focused materials.

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AI agents initiated 16.2 million transfers through the x402 protocol over the past 30 days, according to a Token Terminal post. The data breaks down the activity across chains, with Base accounting for 9.5 million transfers and Polygon for 5.6 million.https://twitter.com/tokenterminal/status/2090165191489270116

The figures add fresh volume to x402, which describes itself as an internet-native payment standard for AI and agentic payments on its official dashboard. The headline metric points to measurable usage rather than a purely conceptual payment layer, although the data shown in the post is limited to transfers and does not by itself explain who the agents were or what kinds of payments they made.

The chain split also suggests the activity is concentrated rather than evenly distributed. Base led the tally by a wide margin, with Polygon also accounting for a large share of the reported transfers.

For now, the clearest takeaway is narrow but concrete: x402 is seeing repeated transfer activity from AI agents, and the recent count gives a cleaner snapshot of where that usage is showing up onchain.

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