Updated

MegaETH Daily Digest — May 15, 2026

Daily Transactions — 4 Weeks2.0M2.5M3.0M3.5M4.0MApr 17Apr 21Apr 25Apr 29May 3May 7May 11May 15
Daily Transactions — 4 Weeks
Unique Wallets — 4 Weeks010K20K30K40KApr 17Apr 21Apr 25Apr 29May 3May 7May 11May 15
Unique Wallets — 4 Weeks

At a Glance


Friday, May 15 was a “busy-but-narrow” day: throughput rose and total transactions climbed, but unique wallets slid back toward the lower end of the past two weeks. In broader risk-off market conditions, this looked more like automation and power-user flow than a broad user expansion.

The Week So Far

Across the last two weeks, MegaETH has mostly lived in the high-20s/low-30s TPS range, with a couple of standout anomalies. This week’s average is 29.9 TPS, slightly softer than last week’s 31.4 TPS (about -4.7%), but the last 7 days are still grinding upward (+6.9%) after the quieter stretch that followed early-May’s spikes.

The clearest adoption signal—unique wallets—has cooled dramatically since the one-day blowout on Apr 30 (39.7K wallets) and has since settled into a steadier band (generally mid-single-digit K to high-single-digit K). Transaction volume has been similarly stable most days (roughly mid-2M to high-2M), with the biggest outlier remaining May 2 at 4.01M total transactions and a much higher failure rate (4.3%) than typical.

TPS — Last 14 Days30354045May 1May 3May 5May 7May 9May 11May 13May 15
TPS — Last 14 Days

The Day

The hourly profile on May 15 was steady in the low-to-mid 30s TPS through most of the session, with a pronounced midday lift: the day’s smooth hourly peak hit 39.6 TPS at 13:00 UTC (paired with 13.2 Mgas/s). Activity eased later, ending with a softer 22:00 UTC hour.

TPS — Today Hourly2830323436384000:0003:0006:0009:0012:0015:0018:0021:0022:00
TPS — Today Hourly

Beneath that smooth curve, the network saw two very sharp, short-lived bursts:

On the application side, activity remained concentrated:

Top DApps — 24h TransactionsEuphoria340.0KWorld Markets220.3KFerdy.bet36.0KOffshore Protocol21.2KTopStrike17.0KKumbaya7.0KPump Party5.3KCrossy Fluffle2.1K
Top DApps — 24h Transactions

Late in the day, the quietest hour (22:00 UTC) was very quiet in spot terms (6.7 TPS and 2.0 Mgas/s per the insight detector), yet StrategyExecutor still accounted for 7,287 transactions in that hour—classic “automation keeps running even when humans log off” behavior (miniblocks.io/contracts/0x681e908b8ab57c49c74d770f369754ccc3e1ae09).

Health Check

Network-wide reliability stayed solid: 0.8% failed transactions (22.3K) on 2.88M total. That’s slightly higher than Thursday (0.7%), but still within the “normal noise” band for MegaETH given day-to-day shifts in bot activity and contract launches.

The notable risk signals were localized:

The Takeaway

May 15 added volume and throughput, but the user footprint narrowed (2.88M transactions on 7.6K wallets). The day’s defining feature was bursty, contract-specific stress—338.0 TPS and 726.8 Mgas/s spikes—rather than a sustained network-wide ramp.

On the Road to TGE, the “Live Mafia Apps” counter remained at 6/10; Kumbaya continues to show real usage but also occasional contention-driven failure bursts, while the “fees” and USDM tracks showed no progress on May 15 (megaeth.com/token).

Data sources: Analysis by MiniBlocks.io using on-chain MegaETH data. Market sentiment data from Alternative.me Crypto Fear & Greed Index. TVL and stablecoin data from DeFiLlama. TGE progress from megaeth.com.

Curious how this digest is made? Read about our AI-powered methodology.
This report is generated automatically by AI and may contain errors or inaccuracies. It is provided for informational purposes only and does not constitute financial, investment, or trading advice. MiniBlocks is an independent analytics platform and is not affiliated with, endorsed by, or promoting any project mentioned. Always verify data independently and do your own research.
About failure rates: This report covers raw network-level metrics. High failure rates for a contract or DApp do not necessarily indicate poor app quality. Common causes include bot activity (front-running, sniping), race conditions during launches and mints, intentional access gating, and rate-limiting mechanisms that deliberately reject excess transactions.
2026-05-14