Updated

MegaETH Daily Digest — May 31, 2026

Daily Transactions — 4 Weeks2.3M2.4M2.5M2.6M2.7M2.8M2.9MMay 3May 7May 11May 15May 19May 23May 27May 31
Daily Transactions — 4 Weeks
Unique Wallets — 4 Weeks4K5K6K7K8K9KMay 3May 7May 11May 15May 19May 23May 27May 31
Unique Wallets — 4 Weeks

At a Glance


MegaETH stayed in its familiar weekend gear on Sunday: steady throughput, lower user counts, and a network-wide failure rate that remained comfortably muted. Broader market conditions still look cautious, and onchain behavior matched that—busy enough to matter, but not risk-on.

TPS — Last 14 Days272829303132May 17May 19May 21May 23May 25May 27May 29May 31
TPS — Last 14 Days

The Week So Far

Over the last two weeks, throughput has been remarkably stable, with a consistent weekend dip. May 31 landed at 27.7 avg TPS, roughly in line with the last seven days’ gentle drift, and the week-over-week comparison shows this week’s average (28.4 TPS) slightly below last week (29.4 TPS, -3.5%)—a small cooling rather than a regime change.

What has shifted more meaningfully is the user footprint. Unique wallets have generally stepped down from early-May levels (8K–9K days) into the mid-4K range this weekend (4.4K on May 30 and 4.1K on May 31). That pattern fits a “same machines, fewer humans” cadence: plenty of transactions, but increasingly concentrated in fewer active senders.

On reliability, the network-level failure rate has been consistently low (generally 0.2%–0.6% recently), with May 31 printing 0.2%. Nothing in the weekly arc suggests broad stress.

The Day

Sunday’s hourly rhythm was mostly flat in the 27–28 TPS band, with a mild lift mid-afternoon (29.2 TPS at 14:00 UTC) and another firmer patch late evening (28.8 TPS at 21:00–22:00 UTC). The more interesting story was micro-bursts: monitoring flagged a brief 57.0 TPS peak at 14:18 UTC and a 103.1 Mgas/s gas spike at 16:43 UTC—sharp but short-lived events that didn’t materially change the day’s averages.

Activity concentration remained clear at the app layer:

Two contract-level quirks worth bookmarking for investigators:

For a broader view of where load is clustering, the Insights hub remains the fastest starting point: https://miniblocks.io/insights

Top DApps — 24h TransactionsWorld Markets126.0KOffshore Protocol67.0KEuphoria38.8KgTrade | Gains Ne…4.5KKumbaya2.5KFerdy.bet2.2KKyberSwap844Intraverse726
Top DApps — 24h Transactions

Health Check

At the network level, May 31 was clean: 0.2% failed transactions (4.0K failed out of 2.40M). That’s in line with the recent low-failure baseline and doesn’t suggest systemic degradation.

Two localized failure signals did pop:

Net: isolated pockets of revert-heavy activity, with the broader network operating normally.

The Takeaway

May 31 was a typical, steady Sunday: modestly lower TPS, transactions, and unique wallets versus May 30, with reliability remaining strong. The day’s standout feature was the presence of brief, high-intensity bursts (57.0 TPS and 103.1 Mgas/s) driven by concentrated app windows—worth watching, but not alarming given the low network-wide failure rate.

On the community watchlist, the Road to TGE status appears unchanged in the key “Live Mafia Apps” count (6/10), and no apps cleared the daily fee threshold; if you’re tracking milestones alongside usage, keep an eye on whether concentrated, automation-heavy volume starts translating into sustained app-level fees: https://www.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.
2026-05-30