MegaETH
What this is
MegaETH is a Layer 2 scaling network built on top of Ethereum, designed to give decentralized applications access to high-speed transaction processing that the Ethereum base layer cannot provide on its own. It targets developers and end users who need near-instant responses from blockchain applications, claiming latency as low as 10 milliseconds and throughput of up to 100,000 transactions per second. The project positions itself as a solution for applications where real-time performance matters, such as trading, gaming, or any use case that cannot tolerate the confirmation delays typical of slower chains.
MegaETH settles its security on Ethereum, meaning the parent chain serves as the ultimate arbiter of the network's state, while MegaETH itself handles execution through what it describes as a hyper-optimized, heterogeneous architecture that streams state updates in real time. The network records a block time of 0.0 minutes, reflecting its sub-second, streaming approach to block production rather than a conventional discrete-block rhythm. The MEGA token operates within this ecosystem, though the data on hand does not specify its precise role in fee payment, governance, or staking.
The network generated 2,135 USD in fees over the most recent 24-hour period, 15,166 USD over the trailing 7 days, and 55,753 USD over the trailing 30 days, with a trailing 12-month total of 515,632 USD. Annualizing the 30-day figure produces an estimated 678,328 USD in annual fees, which the data does not attribute to a specific recipient, so it is not possible from this record alone to determine how much the protocol retains versus how much flows to other participants. The ratio of market capitalization to those annualized fees stands at 62.17, while the fully diluted valuation relative to the same fee base is 550.27, reflecting the large gap between tokens currently in circulation and the total that could eventually exist. Fee growth over the last 30 days was 25.96 percent, indicating the fee base has been expanding during that window.
Written from the figures on this page by an AI language model and reviewed against them. It contains no view on price.