Updated

MegaETH Daily Digest — March 03, 2026

Daily Transactions — 4 Weeks2.0M2.2M2.4M2.6M2.8M3.0M3.2MFeb 3Feb 7Feb 11Feb 15Feb 19Feb 23Feb 27Mar 3
Daily Transactions — 4 Weeks
Unique Wallets — 4 Weeks010K20K30KFeb 4Feb 8Feb 12Feb 16Feb 20Feb 24Feb 28Mar 3
Unique Wallets — 4 Weeks

At a Glance


MegaETH cooled off on March 03 after a busier March 02, but it wasn’t a “quiet chain” kind of day—volume fell while unique wallets rose, suggesting broader participation with less per-wallet throughput. In current market conditions, that mix reads as steady engagement rather than a pullback.

TPS — Last 14 Days262830323436Feb 17Feb 19Feb 21Feb 23Feb 25Feb 27Mar 1Mar 3
TPS — Last 14 Days

The Week So Far

Over the last couple of weeks, baseline load has been remarkably stable: this week’s average TPS (30.5) is essentially in line with last week (30.1, +1.5%), and the last 7 days are flat (+0.6%). The standout remains February 20 (36.1 avg TPS, 142.1 peak), and the quiet floor is still February 22 (26.7 avg TPS).

What has changed is the weekend profile. The March 01 weekend ran hotter than the prior one (30.8 avg TPS vs 27.0), which matches the broader network stats: daily transactions have generally held in the 2.5M–2.9M band recently, and failure rate has come down sharply from the late-February turbulence to a clean 1% on March 03. Unique wallets also look healthier this week—March 03 hit 10.4K, up from 8.5K the day before, and back in line with the 10K–11K range seen on several late-February days.

The Day

March 03’s hourly rhythm was choppy: a firm start after midnight (peaking at 32.9 TPS at 02:00 UTC), a softer early morning lull (23–24 TPS from ~04:00–07:00), then a brief mid-morning push (33.1 TPS at 09:00) before settling into a moderate afternoon (31.1–31.5 TPS at 14:00–16:00) and fading through the evening.

TPS — Today Hourly24262830323400:0003:0006:0009:0012:0015:0018:0021:0022:00
TPS — Today Hourly

On the app side, the 24h leaderboard was split between “many users, moderate compute” and “fewer users, heavier gas”:

Top DApps — 24h TransactionsCrossy Fluffle7.6KKumbaya6.6KFerdy.bet5.3KCanonic1.3KTopStrike1.0KSmasher909Showdown531Avon165
Top DApps — 24h Transactions

The most notable “network moments” were contract-driven spikes that didn’t represent the day’s general baseline:

Two new-ish contract patterns stood out as likely automation:

Health Check

At the network level, March 03 was clean: failure rate was 1% (24.6K failed out of 2.37M), down from 2.9% on March 02—nothing alarming.

That said, a few localized failure spikes are worth noting as “watch items,” not quality judgments (these patterns are often bot contention, tight timing windows, or intentional reverts):

The Takeaway

March 03 was a “lower volume, wider reach” day: total transactions fell, but unique wallets climbed, and the chain’s overall failure rate improved materially. The headline performance spikes were real but extremely concentrated—short bursts driven by a few contracts rather than sustained demand.

On the Road to TGE, March 03 activity helped keep core apps active (notably Kumbaya), but fees still weren’t close to the per-app $50K/day threshold—another reminder that usage breadth is improving faster than fee intensity right now (see 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.
2026-03-02