A First Look at Ethereum Blob Revolution: Market, Strategies, and Optimality

TL;DR

This paper investigates the emergent blob marketplace created by Ethereum's EIP-4844 (Proto-Danksharding), which enables cheap off-chain data storage for Layer-2 rollups through Type-3 transactions carrying blobs. Using a large-scale dataset of $319.5$ million on-chain transactions (including $1.3$ million blob-carrying) and a complementary labeling approach, the authors document a dramatic shift in block composition and data-verification practices, with block sizes rising $2.5×$ to about $400$ KB and rollups increasing blob usage to roughly $10{,}000$ per day. They develop a game-theoretic model of the post-upgrade interaction between block builders and rollups, deriving equilibrium strategies and identifying economic inefficiencies—notably that $29.48\%$ of blob-containing blocks are suboptimal and that many rollups still employ non-optimal blob-bundling strategies. The work contributes both methodological data pipelines and a theoretical framework for understanding post-EIP-4844 behavior, with practical implications for market design, incentive alignment, and future protocol upgrades. Overall, the study highlights significant room for optimization in the blob economy and provides a foundation for ongoing empirical and theoretical exploration of Ethereum's blob-enabled ecosystem.

Abstract

As a key enabler of Web3, Ethereum has long faced scalability challenges. The recent EIP-4844 upgrade aims to alleviate the scalability issue by introducing the ''blob'', a new data structure for Layer-2 rollups that enables off-chain storage with much reduced costs. Yet, this new mechanism's impact on Ethereum, and the wider Web3 ecosystem, remains largely underexplored. In this paper, we conduct the first large-scale empirical analysis of the post-EIP-4844 ecosystem, leveraging a dataset of 319.5 million transactions, out of which 1.3 million are blob-carrying. Our analysis reveals two major trends: (1) average block size has increased 2.5 times, from 150 KB to 400 KB, while the share of conventional transactions has shrunk from over $150$ KB to around 80 KB; (2) rollups are rapidly migrating from expensive calldata, falling from approximately 7,500 to nearly zero, toward cheap blobs, rising from zero to about 10,000. These shifts introduce a new economic game between block builders and rollups. Thus, we develop a game-theoretic model to characterize their equilibrium strategies: a profit-maximizing inclusion rule for builders, and a cost-minimizing blob batching strategy for rollups. Empirically, however, we find notable economic inefficiencies: for example, 29.48% of blob-containing blocks are built sub-optimally, yielding less revenue than available alternatives. These findings highlight the intricacies of the blob marketplace, and our work has established both methodological and empirical foundations to understand the evolving post-EIP4844 Ethereum ecosystem.

Figures (10)

• Figure 1: Illustration of the block building process in Ethereum. Builder is divided into MEV-Boost builders and Vanilla builders according to their transaction source. Their blocks would contain type-3 transactions introduced by EIP-4844.
• Figure 2: The average size in block among builders.
• Figure 3: The landscape of calldata usages.
• Figure 4: The landscape of blob usages.
• Figure 5: The efficiency of builders. The left figure shows the profit gap and the right figure illustrates the different efficiencies among distinct builders.