Updated

MegaETH Daily Digest — March 04, 2026

Daily Transactions — 4 Weeks2.0M2.2M2.4M2.6M2.8M3.0M3.2MFeb 4Feb 8Feb 12Feb 16Feb 20Feb 24Feb 28Mar 4
Daily Transactions — 4 Weeks
Unique Wallets — 4 Weeks010K20K30KFeb 4Feb 8Feb 12Feb 16Feb 20Feb 24Feb 28Mar 4
Unique Wallets — 4 Weeks

At a Glance


MegaETH stayed in its recent “steady-but-not-busy” regime on Wednesday, with average TPS unchanged from Tuesday. The standout wasn’t raw throughput—it was participation: unique wallets fell to a notably low level even as overall transaction volume held near recent ranges, suggesting activity concentrated into fewer actors under cautious broader market conditions.

TPS — Last 14 Days262830323436Feb 18Feb 20Feb 22Feb 24Feb 26Feb 28Mar 2Mar 4
TPS — Last 14 Days

The Week So Far

Over the last couple of weeks, the network has been broadly stable around ~30 TPS (this week’s average 30.0 vs last week’s 30.3), with one big outlier: Friday, Feb 20 (36.1 avg TPS / 142.1 peak) that also coincided with an unusually high network failure rate (23.3%). Since then, throughput has normalized and the last 7 days have been essentially flat (-0.3%).

What hasn’t been flat is participation. Unique wallets have swung widely day to day: Tuesday, March 03 reached 10.4K, then Wednesday dropped to 4.5K—one of the lowest readings in the past month. Meanwhile, transaction volume has been more resilient (2.87M on Monday → 2.37M Tuesday → 2.35M Wednesday), pointing to fewer wallets doing more of the work.

Weekend behavior has also shifted: last weekend averaged 30.8 TPS vs 27.0 TPS the weekend prior, a meaningful step-up that hasn’t yet carried into midweek.

The Day

Wednesday’s hourly rhythm was quiet through early UTC hours (mid-20s TPS), then built into an afternoon ramp with a clear peak at 39.0 TPS at 16:00 UTC before tapering back toward ~24–26 TPS into late evening.

TPS — Today Hourly2530354000:0003:0006:0009:0012:0015:0018:0021:0022:00
TPS — Today Hourly

App-level activity was split between transaction-heavy gaming loops and gas-heavy DeFi:

Outside the named dapps, two contract-led bursts stood out:

For broader context and quick pivots between these clusters, the Insights page is the fastest way to replay the day’s hotspots.

Top DApps — 24h TransactionsCrossy Fluffle6.3KKumbaya5.5KFerdy.bet5.3KCanonic1.4KTopStrike638Showdown428Smasher270Avon87
Top DApps — 24h Transactions

Health Check

At the network level, Wednesday looked clean: 0.3% failed transactions (7.9K failed out of 2.35M), well below the elevated conditions seen in parts of mid-February.

Contract-level reliability was more mixed, with several localized failure spikes:

These patterns often align with competitive interactions (bots, timing races, or intentional reverts from gating/rate-limits) rather than “broken apps,” especially when the rest of the network is operating normally.

The Takeaway

Wednesday, March 04 was a steady-throughput day with a real participation wobble: 27.5 TPS on 2.35M transactions, but only 4.5K unique wallets. Activity concentrated into a few dense pockets—gas-heavy Kumbaya usage and brief contract-driven throughput bursts—while overall network health stayed strong despite a handful of localized failure spikes.

On the Road to TGE, there wasn’t a breakout: Live Mafia Apps remains at 5/10 and no app cleared the $50K/day fee bar on March 04 (total fees across apps: $26K). The day’s Kumbaya-driven gas and user footprint is directionally supportive, but the fee-based milestone still needs sustained, per-app follow-through (details: 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.
2026-03-03