Updated

MegaETH Daily Digest — April 06, 2026

Daily Transactions — 4 Weeks2.0M2.5M3.0M3.5M4.0MMar 9Mar 13Mar 17Mar 21Mar 25Mar 29Apr 2Apr 6
Daily Transactions — 4 Weeks
Unique Wallets — 4 Weeks010K20K30K40KMar 9Mar 13Mar 17Mar 21Mar 25Mar 29Apr 2Apr 6
Unique Wallets — 4 Weeks

At a Glance


MegaETH started the week slightly hotter than it ended the weekend. On April 06, usage rose without bringing broad-based user growth—more throughput on roughly the same number of active wallets, plus a couple of very spiky moments that didn’t persist.

Broader market conditions remain risk-off, but onchain behavior looked steady: consistent baseline activity with localized bursts rather than a chain-wide surge.

TPS — Last 14 Days24252627Mar 23Mar 25Mar 27Mar 29Mar 31Apr 2Apr 4Apr 6
TPS — Last 14 Days

The Week So Far

Zooming out, the last two weeks have been remarkably stable in day-to-day throughput, with the usual weekend softness. This week’s average sits at 25.5 TPS versus 24.2 TPS last week (+5.5%), and April 06 was the busiest day in the 14-day window at 26.9 avg TPS (30.8 peak on the daily aggregate).

From the 4-week network view, daily volume has been living in a tight band recently—roughly ~2.0M–2.3M transactions most days—after the much larger early-March prints. Unique wallets are also range-bound in the ~3K–4K area lately; April 06 came in at 3.9K, matching April 05.

Reliability has been consistently strong at the network level. After a few higher-fail days earlier in the period (e.g., 2.5% on April 01), April 06’s 0.4% failed transactions is back in the “nothing alarming” zone.

The Day

April 06 had a “busy-but-controlled” rhythm: elevated late Sunday into 00:00 UTC, a steady morning baseline, then a clearer ramp into early afternoon (notably around 14:00 UTC), followed by a calmer evening.

TPS — Today Hourly2526272829303100:0003:0006:0009:0012:0015:0018:0021:0022:00
TPS — Today Hourly

On the app side, activity was led by two familiar centers of gravity:

The “long tail” was active but more concentrated:

Two contract-level bursts were especially notable because they were network-shaping for brief moments:

For more context on where this activity is clustering, the DApps Catalog and Contracts Explorer are the quickest ways to pivot from “topline” to “what exactly happened.”

Top DApps — 24h TransactionsKumbaya12.3KAvon8.5KCrossy Fluffle3.4KFerdy.bet1.4KCanonic1.2KShowdown430TopStrike383Intraverse214
Top DApps — 24h Transactions

Health Check

Network-wide reliability was clean: 0.4% failed transactions (8.3K failed out of 2.32M). The standout issue was localized:

A separate activity spike hit 0x328c38cb445cde29ab50c178186439e080ca0813 at 1,307 tx/h around 16:00 UTC; no failure signal was attached in the provided alerts, but it’s another “burst-shaped” footprint from April 06.

The Takeaway

April 06 was a higher-throughput Monday—26.9 TPS and 2.32M transactions—without a matching jump in unique wallets (3.9K). The main story wasn’t broad congestion; it was a few short, intense bursts (notably 150.0 TPS and 502.0 Mgas/s) concentrated in specific contracts, plus a contained failure spike on World Markets - Exchange.

On the TGE “Road to TGE” side, April 06 didn’t move any thresholds meaningfully: no app cleared the $50K/day bar, and fee prints for Kumbaya ($5K) and Cap ($8K) remain well below the per-app target. If you’re tracking progress, the live criteria status is at 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.
2026-04-05