Updated

MegaETH Daily Digest — March 31, 2026

Daily Transactions — 4 Weeks2.0M2.5M3.0M3.5M4.0MMar 3Mar 7Mar 11Mar 15Mar 19Mar 23Mar 27Mar 31
Daily Transactions — 4 Weeks
Unique Wallets — 4 Weeks020K40K60K80KMar 3Mar 7Mar 11Mar 15Mar 19Mar 23Mar 27Mar 31
Unique Wallets — 4 Weeks

At a Glance


MegaETH stayed in its “steady but not exuberant” cadence on Tuesday, March 31: slightly more throughput than Monday, but with fewer distinct wallets participating. Under current market conditions, that mix (automation-heavy volume, softer user counts) is becoming a familiar shape.

The headline for the day was not a broad-based user surge—it was concentrated bursts tied to a handful of contracts, plus a notable step-up in DeFi balance-sheet metrics.

The Week So Far

The last two weeks have been stable by MegaETH standards. Average throughput on March 31 came in at 26.2 TPS, continuing the gentle rebound from the weekend dip (this weekend averaged 23.6 TPS, consistent with the usual pattern). Week-over-week, the network’s average is essentially flat: 24.5 TPS this week versus 25.2 TPS last week (-2.7%).

On the “who is showing up” side, unique wallets remain subdued relative to early-March highs. The network printed 3.9K unique wallets on March 31 (down from 4.3K on March 30), and the entire Mar 24–Mar 31 stretch mostly lives in the low single-digit thousands.

Failures are still low in absolute terms at the network level. March 31 closed at 1.5% failed transactions (34.0K out of 2.26M), a modest uptick versus recent days but not an ecosystem-wide red flag.

TPS — Last 14 Days222426283032Mar 17Mar 19Mar 21Mar 23Mar 25Mar 27Mar 29Mar 31
TPS — Last 14 Days

The Day

March 31’s hourly rhythm was a gradual ramp from a quieter early UTC morning into an active mid-afternoon, with the day’s highest hourly average at 31.6 TPS around 16:00 UTC before settling back into the mid‑20s later on.

TPS — Today Hourly242628303200:0003:0006:0009:0012:0015:0018:0021:0022:00
TPS — Today Hourly

On the app surface, Crossy Fluffle dominated labeled activity with 79.8K txs and 7,826 Mgas, spread across 549 unique callers—high-volume gameplay traffic, but not necessarily broad network participation. Kumbaya was the day’s “user-dense” venue with 594 unique callers, though its transaction count (1.4K in the 24h leaderboard) sits far below Crossy Fluffle’s. Meanwhile, GMX stood out for gas intensity: just 230 txs but 1,047 Mgas.

Top DApps — 24h TransactionsCrossy Fluffle79.8KKumbaya1.4KCanonic1.3KAvon811Intraverse598Showdown573TopStrike460Smasher378
Top DApps — 24h Transactions

Most of the day’s network-level excitement came from contracts outside the top DApp table:

Token/asset flow also perked up: WETH activity jumped to 2,279 transactions in the last 24 hours (+1045% vs the prior window), and MegaETH - USDm hit 1,539 transactions (+112%). That lines up with DeFi’s balance-sheet move: MegaETH TVL stepped up to $105.9M on Mar 31 from $96.4M on Mar 30, a meaningful shift even as broader sentiment stays cautious.

Health Check

At the network level, March 31 finished with 1.5% failures—higher than Mar 30’s 1.1%, but still in a range that usually points to localized events rather than chain-wide instability.

Two pockets were worth watching:

The Takeaway

March 31 was a slightly busier throughput day (26.2 TPS, 2.26M txs) with fewer unique wallets (3.9K), shaped by concentrated automated bursts—especially the new 0x681e908b8ab57c49c74d770f369754ccc3e1ae09—rather than broad user expansion. DeFi fundamentals improved on the day (TVL moving up to $105.9M), which is notable given the risk-off backdrop.

On TGE progress, nothing on March 31 materially changed the “Road to TGE” posture: no app hit the $50K/day fee threshold, and USDm progress remains well below the $500M trigger—details 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.
2026-03-30