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the-ethereum-roadmap-merge-surge-verge
Blog

What Blobs Change in Ethereum Fee Markets

EIP-4844 (Proto-Danksharding) introduces blob-carrying transactions, creating a separate fee market for data. This analysis breaks down why this is a fundamental re-architecture of Ethereum's economics, decoupling rollup costs from L1 speculation and setting the stage for the Surge.

introduction
THE DATA

The Gas Fee Fallacy

EIP-4844 blobs decouple data availability from execution, creating a separate fee market that fundamentally changes how L2s and users pay for security.

Blobs create a separate market. EIP-4844 introduced a new resource, blob-carrying transactions, with its own gas target and fee mechanism. This decouples the cost of posting L2 data from the volatile demand for Ethereum execution. The result is a predictable data fee for rollups like Arbitrum and Optimism, insulating them from mainnet NFT mints and meme coin frenzies.

The fee fallacy is about security. Users fixate on L2 transaction fees, but the real cost is the L1 data posting fee. Blobs make this cost explicit and cheap. A rollup's viability now depends on its data compression efficiency and its ability to batch user transactions into a single, cost-effective blob submission.

Evidence: Post-EIP-4844, blob fees have remained near-zero for extended periods, while base gas fees have spiked. This proves the markets are independent. Protocols like StarkNet with advanced compression (Cairo) and zkSync with its LLVM compiler gain a direct cost advantage over less efficient competitors.

market-context
THE MONOLITHIC BLOCK

The Pre-Blob Bottleneck: A Single Congested Highway

Before EIP-4844, all data competed for the same scarce block space, creating a single point of failure for scaling.

Execution and data competed equally for the same L1 block space. A popular NFT mint or Uniswap trade increased gas fees for rollup data posting, directly raising L2 transaction costs.

Rollups were subsidy-dependent. Protocols like Arbitrum and Optimism paid volatile, unpredictable data fees, forcing them to operate at a loss or pass costs to users, undermining their scaling promise.

The fee market was inelastic. High demand for computation could not be isolated from data demand. This created a congested single highway where a traffic jam in one lane stopped all traffic.

Evidence: In Q4 2023, Base and other rollups spent over 50% of their operational costs on L1 data fees, a direct tax on scaling imposed by the monolithic block structure.

EIP-4844 IMPACT

Fee Market Anatomy: Before vs. After Blobs

How EIP-4844's blob-carrying transactions fundamentally restructured Ethereum's fee markets, decoupling execution from data availability costs.

Fee Market DimensionPre-Blobs (Legacy)Post-Blobs (Dencun)

Primary Fee Mechanism

Unified Gas Auction (Base + Priority)

Dual Auction (Gas for Execution, Blob Gas for Data)

Data Cost Driver

Calldata priced per byte via gas (16 gas/byte)

Separate Blob Gas market with independent, targeted fee adjustment

Typical L2 Data Posting Cost

$100-500 per batch (pre-2024)

< $0.10 per blob (post-Dencun, normal load)

Fee Volatility for Apps

High: Congested NFTs could price out stablecoin tx

Reduced: L2 settlement insulated from mainnet NFT mints

Max Data Throughput

~80 KB per block (practical calldata limit)

~1.8 MB per block (3 blobs * 128 KB each, theoretical)

Long-Term Data Guarantee

Permanent on-chain history

Pruned after ~18 days (relies on Layer 2s & data availability layers for permanence)

Target User

Monolithic chain users & contracts

Modular stack: Rollups (Arbitrum, Optimism, zkSync), Layer 2s

deep-dive
THE FEE MARKET SPLIT

Blob Economics: Why a Separate Market is Non-Negotiable

Ethereum's introduction of blobs creates a dedicated, volatile data market that decouples execution from data availability costs.

Blobs decouple execution from data. Prior to EIP-4844, rollups like Arbitrum and Optimism paid for data posting in gas, directly competing with user transactions and causing fee volatility. The separate blob market isolates this demand, preventing L2 costs from spiking mainnet gas prices for applications like Uniswap or Aave.

Blob pricing is inherently volatile. The blob fee market uses a separate EIP-1559 mechanism with a target of 3 blobs per block. Demand from rollups and data availability solutions like Celestia or EigenDA will create a supply-constrained auction for this new resource, leading to price swings independent of base gas fees.

This enables sustainable L2 scaling. By moving data to a cheaper, dedicated lane, the cost structure for rollups becomes predictable. Protocols like StarkNet and zkSync can post proofs and state diffs without being outbid by a sudden NFT mint, making sub-cent transactions viable long-term.

Evidence: Post-EIP-4844, Arbitrum's data posting costs dropped over 90%. The blob fee market has already seen volatility, with prices spiking during high demand periods while base gas remained stable, proving the decoupling is operational.

risk-analysis
FEE MARKET DISRUPTION

The New Risk Vectors: What Could Go Wrong?

EIP-4844 blobs decouple data from execution, creating a new, volatile commodity market with cascading effects.

01

The Problem: Blob Supply Inelasticity

The blob gas limit is a fixed, per-block resource. Unlike execution gas, there's no priority fee mechanism for blobs, only a base fee. This creates a winner-takes-all auction where demand spikes can cause exponential fee surges and unpredictable finality delays for rollups like Arbitrum and Optimism.

  • Key Risk 1: Rollup transaction costs become volatile and unhedgeable.
  • Key Risk 2: L2 sequencer profitability collapses during congestion, threatening decentralization.
3-6
Target Blobs/Block
~10x
Fee Spike Potential
02

The Problem: Execution Market Contagion

Blob transactions still consume execution gas for their small 'wrapper'. During a blob fee spike, massive blob inclusion transactions from rollup sequencers will flood the execution layer, crowding out user transactions and driving up base gas prices for everyone. This turns a data availability event into a network-wide execution crisis.

  • Key Risk 1: Mainnet DeFi (Uniswap, Aave) faces higher, correlated gas costs.
  • Key Risk 2: Creates a perverse incentive for L2s to post data less frequently, harming user experience.
>50%
Gas Price Correlation
120k+
Gas per Blob Tx
03

The Problem: Centralized Blob Provisioning

The economic model assumes a competitive market of blob producers (builders/validators). In reality, PBS (proposer-builder separation) and MEV concentrate block production. A few dominant builders like Flashbots could manipulate blob inclusion, creating a cartel that extracts rent from rollups or censors specific L2s by excluding their data.

  • Key Risk 1: Rollup security becomes dependent on builder goodwill.
  • Key Risk 2: Creates a new, opaque MEV vector around data ordering and exclusion.
~80%
Builder Market Share
New MEV
Risk Vector
04

The Problem: Long-Term Fee Sustainability

Blob fees are designed to trend toward zero as demand is satisfied by data availability sampling (DAS) and increased blob count in future upgrades. This asymptotic fee decay threatens the economic security of the consensus layer, which relies on transaction fees post-merge. If blob fees vanish, security depends solely on ETH issuance and execution fees.

  • Key Risk 1: Undermines the 'fee burn' mechanism of EIP-1559 for consensus security.
  • Key Risk 2: Creates uncertainty for validator ROI, potentially reducing network participation.
~0 ETH
Long-Term Target Fee
-85%
Issuance Since Merge
future-outlook
THE FEE MARKET RESET

The Path to Full Danksharding: This Is Just the Proto

Proto-danksharding introduces a separate fee market for data, decoupling L2 costs from volatile mainnet execution demand.

Blobs create a parallel auction. EIP-4844 introduces a new transaction type with dedicated gas pricing, separating the cost of data availability from execution. This prevents L2s like Arbitrum and Optimism from bidding against Uniswap swaps for block space.

Fee volatility shifts to blobs. While execution gas remains predictable, blob fees will exhibit high volatility based on rollup demand surges. This creates a new arbitrage landscape for sequencers and bridges like Across and LayerZero.

This is a capacity test. The initial 3-blob target is a synthetic constraint. The real metric is sustained blob utilization, which protocols like EigenDA will stress to validate the demand for full danksharding's 64-blob design.

Evidence: Post-EIP-4844, L2 transaction fees on Arbitrum fell by over 90% during non-peak hours, demonstrating the decoupling. However, blob gas prices spiked 10x during the first major NFT mint, proving the new market's volatility.

takeaways
EIP-4844 IMPACT

TL;DR for Builders

Blobs decouple L2 data costs from mainnet execution congestion, fundamentally reshaping the fee market and application design.

01

The Problem: L2s Held Hostage by Calldata

Rollup costs were directly pegged to volatile mainnet gas prices, making L2 fees unpredictable and limiting throughput. Every byte of data competed with Uniswap swaps for the same scarce block space.

  • Calldata cost was the dominant expense for rollups like Arbitrum and Optimism.
  • Fee spikes on L1 caused immediate, correlated spikes on L2s, breaking the scaling promise.
~80%
Of L2 Cost
10x+
Volatility
02

The Solution: A Dedicated Data Highway (Blobs)

EIP-4844 introduces a separate fee market for large, temporary data packets. Blobs are priced independently from EVM execution, creating cost predictability for rollups.

  • Separate auction: Blob gas vs. execution gas.
  • Data is ephemeral: Nodes store blobs for ~18 days, then prune them, minimizing long-term state bloat.
  • Enables stable, sub-cent L2 transaction fees.
~0.1¢
Target L2 Tx Cost
128 KB
Per Blob
03

New Design Space: Data-Intensive Apps

Cheap, abundant data availability unlocks applications previously impossible on Ethereum. Think verifiable data lakes and high-frequency state updates.

  • On-chain AI/ML: Store model checkpoints and inference proofs.
  • Fully on-chain games: Cheaply post frequent game state updates.
  • Cheap DA for alt-DA layers: Validiums and Optimiums (like StarkEx) can use Ethereum for secure, low-cost data availability.
TB/year
Feasible Data
$1M+
Annual DA Savings
04

The New Fee Market Dynamics

Builders must now monitor two independent gas auctions. Blob demand is driven by aggregate L2 activity, not by individual users.

  • Arbitrum, Optimism, Base are now the primary "consumers" of blob space.
  • Execution gas remains for smart contract logic and high-value settlements.
  • MEV strategies may evolve to include blob transaction ordering.
2 Markets
To Track
L2 Aggregators
Primary Demand
05

The Path to Full Danksharding

Blobs are not the end state. This is a proto-danksharding upgrade designed for immediate utility with minimal consensus changes.

  • Today: 3 blobs/block (~0.375 MB).
  • Future Danksharding: 64 blobs/block (~8 MB) via data availability sampling (DAS).
  • Builders should architect for a future of near-infinite, cheap data bandwidth.
16x
Future Scale
~8 MB/block
Target Capacity
06

Immediate Builder Action Items

This isn't just infrastructure news. It changes how you design and price your product.

  • L2 Teams: Recalibrate your fee models and user cost projections.
  • dApp Devs: Explore data-heavy features (e.g., on-chain logs, attestations).
  • Infra Providers: Update gas estimation APIs to include blob gas prices.
  • All: Monitor blob gas price separately from regular gas price.
Recalibrate
Fee Models
New APIs
Required
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Ethereum Blobs: The End of L1 Fee Wars? | ChainScore Blog