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The Early Days of the Ethereum Blob Fee Market and Lessons Learnt

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arxiv 2502.12966 v1 pith:EEPIMWRJ submitted 2025-02-18 cs.CE cs.CRcs.DCcs.ETecon.GNq-fin.EC

classification cs.CEcs.CRcs.DCcs.ETecon.GNq-fin.EC
keywords marketblobblobsdataethereumtransactionsdaysearly
verification ladder T0 review T1 audit T2 compute T3 formal
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Ethereum has adopted a rollup-centric roadmap to scale by making rollups (layer 2 scaling solutions) the primary method for handling transactions. The first significant step towards this goal was EIP-4844, which introduced blob transactions that are designed to meet the data availability needs of layer 2 protocols. This work constitutes the first rigorous and comprehensive empirical analysis of transaction- and mempool-level data since the institution of blobs on Ethereum on March 13, 2024. We perform a longitudinal study of the early days of the blob fee market analyzing the landscape and the behaviors of its participants. We identify and measure the inefficiencies arising out of suboptimal block packing, showing that at times it has resulted in up to 70% relative fee loss. We hone in and give further insight into two (congested) peak demand periods for blobs. Finally, we document a market design issue relating to subset bidding due to the inflexibility of the transaction structure on packing data as blobs and suggest possible ways to fix it. The latter market structure issue also applies more generally for any discrete objects included within transactions.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. One-dimensional vs. Multi-dimensional Pricing in Blockchain Protocols

    cs.GT 2025-06 reject novelty 6.0 of 10

    The paper argues multidimensional fee pricing beats one-dimensional pricing in stable states but is slower and harder in transitions; the welfare proof and the convergence proof both have invalid steps.

  2. Unraveling Ethereum's Mempool: The Impact of Fee Fairness, Transaction Prioritization, and Consensus Efficiency

    cs.CR 2025-06 conditional novelty 4.0 of 10

    Empirical evidence from live Geth and Prysm nodes shows Ethereum's post-EIP-1559 mempool still favors high fees, while high congestion correlates with longer finalization times.

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