Updated

MegaETH Daily Digest — March 14, 2026

Daily Transactions — 4 Weeks2.0M2.5M3.0M3.5M4.0MFeb 14Feb 18Feb 22Feb 26Mar 2Mar 6Mar 10Mar 14
Daily Transactions — 4 Weeks
Unique Wallets — 4 Weeks020K40K60K80KFeb 14Feb 18Feb 22Feb 26Mar 2Mar 6Mar 10Mar 14
Unique Wallets — 4 Weeks

At a Glance


Saturday, March 14 was the softest demand day in the last two weeks, extending the multi-day cooldown that’s been underway since the March 6–11 bursty stretch. Even with broader market conditions still cautious, onchain “stickiness” showed up more in consistency (low failure rates, steady core apps) than in raw throughput.

The Week So Far

Throughput has drifted lower over the past seven days (-27.8%), culminating in March 14 as the quietest day in the 14-day window at 23.5 TPS. That’s a notable contrast with earlier in the month, when MegaETH repeatedly printed high-variance days (including the busiest day on March 6 at 47.1 TPS average).

From a network-usage standpoint, the bigger story is the compression in daily unique wallets from last week’s outsized spikes back to a low single-digit baseline. March 8 reached 73.7K unique wallets, while March 12–14 sat around ~4.6K–4.9K. In other words: fewer distinct users are active right now, and the activity that does arrive is more concentrated.

Failure rates have been consistently unproblematic lately, and March 14 was especially clean. That matters in a cooldown: it points to reduced contention and fewer “race” mechanics dominating blocks.

TPS — Last 14 Days253035404550Feb 28Mar 2Mar 4Mar 6Mar 8Mar 10Mar 12Mar 14
TPS — Last 14 Days

The Day

March 14 was flat for most hours—generally ~22–26 TPS—then perked up briefly late in the day (27.6 TPS at 21:00 UTC). The more interesting moves were sub-hour spikes: network TPS peaked at 115.0 TPS (13:33 UTC) and gas throughput peaked at 577.5 Mgas/s (23:33 UTC), both far above local baselines but not sustained long enough to lift the daily average meaningfully.

TPS — Today Hourly2223242526272800:0003:0006:0009:0012:0015:0018:0021:0022:00
TPS — Today Hourly

On the app side, Kumbaya was the clear anchor: 10.6K transactions, 2,862 Mgas, and 2,151 unique callers. In a low-TPS day, that caller count stands out as “real user surface area” rather than one actor looping transactions.

Two other high-signal contributors:

Gaming was mixed and, in places, clearly bot-shaped:

At the contract layer, two bursts explain the “quiet day, loud moments” feel:

Top DApps — 24h TransactionsKumbaya10.6KFerdy.bet4.8KCrossy Fluffle4.4KAvon3.7KCanonic1.3KIntraverse1.1KTopStrike797Showdown420
Top DApps — 24h Transactions

Health Check

Network execution quality was excellent on March 14: 0.2% failed transactions (3.1K failed out of 2.03M). That’s consistent with a low-contention day and suggests the bursts that did happen were largely getting through rather than failing en masse.

One thing to note without overreacting: both the 115.0 TPS micro-peak and the 577.5 Mgas/s micro-peak were extreme relative to the period’s 95th percentile. With failure rates staying low, the simplest explanation is short-lived automated activity (bots or scripted loops) rather than a user-driven surge that pushed the chain into persistent congestion.

The Takeaway

March 14 was a low-activity Saturday by every baseline metric—23.5 TPS and 2.03M total transactions—yet it still produced a couple of sharp, contract-led bursts. The center of gravity remained Kumbaya and Avon, which continued to show comparatively broad participation even as overall unique wallets stayed subdued.

On the Road to TGE, the day didn’t move the high-level milestones: no app cleared the $50K/day fee bar, and Kumbaya’s posted daily fees ($12K) are still well below the sustained threshold. Progress remains incremental; the relevant tracker 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.
2026-03-13