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

Proto Danksharding Cost Curves After Mainnet

A first-principles analysis of the new economic landscape for Layer 2s after EIP-4844. We break down the actual cost curves, debunk scaling myths, and project the real trajectory for L2 fees as blob usage scales.

introduction
THE REALITY CHECK

The Dencun Hangover: Why L2 Fees Haven't Crashed to Zero

Proto-danksharding reduced L2 costs, but demand elasticity and infrastructure bottlenecks prevent zero-fee transactions.

Demand elasticity dominates pricing. Lower costs immediately increased transaction volume on networks like Arbitrum and Optimism, absorbing the new capacity. The fee floor is now set by sequencer operating costs and validator profit margins, not just Ethereum data availability.

Blob space is a commodity market. The 3-blob target creates a supply/demand auction. During peak activity, blob prices spike, as seen in the initial post-Dencun congestion. This volatility means L2 fees are non-zero and unpredictable.

Infrastructure has not scaled proportionally. The EIP-4844 upgrade shifted the bottleneck from calldata to blob propagation and storage. L2 node operators and RPC providers like Alchemy and QuickNode face new scaling challenges, adding overhead.

Evidence: Post-Dencun, median L2 transaction fees dropped ~90% but stabilized. Base network activity surged 350%, demonstrating that cheap blockspace is instantly consumed, establishing a new, higher equilibrium.

market-context
THE COST CURVE

Blob Space: A New Commodity Market on Ethereum

Proto-danksharding transforms data availability from a fixed gas parameter into a dynamic, supply-and-demand market for blob space.

Blob pricing is decoupled from gas. EIP-4844 introduces a separate fee market where blob transaction costs are determined by a target blob count and a multidimensional EIP-1559 mechanism. This prevents L2 data posting from congesting the EVM execution layer.

The blob supply curve is inelastic. The protocol targets 3 blobs per block, with a hard limit of 6. This fixed supply cap creates predictable scarcity, making blob prices highly sensitive to demand spikes from rollups like Arbitrum, Optimism, and Base.

Demand is driven by L2 compression wars. The cost per byte for L2s will drop 10-100x, but total cost depends on blob contention. Protocols with inefficient data compression, like early zkSync Era, will be outbid by those using ZK compression or Celestia DA.

Evidence: Post-EIP-4844, we project the average blob fee will be 0.001 ETH, but will spike above 0.01 ETH during network events, creating a volatile commodity market that L2 sequencers must hedge.

EIP-4844 IMPACT ANALYSIS

The Post-Dencun Cost Matrix: Blobs vs. Calldata

A direct comparison of transaction cost structures for data availability on Ethereum L1 after the Dencun upgrade, focusing on the new blob-carrying transactions versus legacy calldata.

Cost & Performance MetricBlob-Carrying Transaction (EIP-4844)Legacy Calldata TransactionLong-Term Target (Full Danksharding)

Current Avg. Cost per Byte (Post-Dencun)

$0.0005

$0.05

~$0.00005

Data Availability Guarantee

Ethereum Consensus

Ethereum Consensus

Ethereum Consensus

Target Data per Block

~0.38 MB (3 blobs)

~0.09 MB

~16-32 MB

Persistence Duration

~18 days (Epochs 4096-8192)

Forever (Full blockchain history)

~18 days (Epochs 4096-8192)

Access Method for L2s

Beacon Chain & Consensus Layer

EVM Execution Layer

Beacon Chain & Consensus Layer

EVM Execution Gas Cost

Base fee + Blob fee (separate market)

Base fee + Calldata gas (2100 gas/byte)

Base fee + Blob fee (separate market)

Primary Use Case Post-Dencun

L2 Batch Data (Optimism, Arbitrum, zkSync)

Contract Interactions & L1 Apps

Massive Scale L2 & Data-Intensive Apps

deep-dive
THE MECHANICS

Deconstructing the Cost Curve: Capacity, Demand, and the 3-Blob Target

EIP-4844's fee market is a two-variable system where blob capacity and user demand determine the final cost per transaction.

The 3-blob target is the system's equilibrium. The base fee adjusts every block to target this capacity, creating a predictable supply curve. This is a direct import from EIP-1559's block gas mechanism, applied to a new resource.

Fee volatility stems from demand spikes. Unlike base gas, blob slots are a dedicated, non-fungible resource. A surge in demand from rollups like Arbitrum or Optimism for a single block cannot spill over, causing rapid base fee increases.

Long-term cost reduction requires sustained underutilization. The 1.7 MB target is a soft cap. The protocol only permanently increases capacity via blob count per block after sustained >95% usage, a multi-month process.

Evidence: Initial mainnet data shows blobs costing ~$0.01, but stress tests by OP Stack chains or Base can temporarily push fees 100x higher, validating the spike model.

risk-analysis
POST-EIP-4844 REALITY CHECK

The Bear Case: When the Blob Party Ends

Proto-danksharding's initial cost relief is temporary; understanding the long-term economic model is critical for sustainable scaling.

01

The Blob Gas Auction: A Permanent Fee Market

Blobs create a dedicated fee market separate from execution gas. Demand will dictate price, not a fixed discount.

  • Blob gas target is ~0.375 MB per block, but can surge to ~0.75 MB.
  • Fees spike during congestion, creating volatile data pricing for rollups.
  • Long-term, blob costs will reflect demand for Ethereum's data space, not just calldata savings.
~0.375 MB
Target/Block
2x
Surge Capacity
02

The 18-Day Time Bomb: Data Pruning

Blobs are ephemeral, stored for only ~18 days. This shifts the long-term data availability burden.

  • Rollups must implement their own permanent data storage solutions (e.g., EigenLayer, Celestia, Arweave).
  • Adds a secondary, variable cost layer on top of blob fees.
  • Creates fragmentation risk if storage solutions diverge in security or cost.
18 Days
Data Lifetime
+1 Layer
Cost Stack
03

The Congestion Contagion: Execution vs. Data

High execution layer demand can still congest the network, indirectly impacting blob availability and cost.

  • Full blocks delay the inclusion of blobs, creating correlated latency.
  • A popular NFT mint or DeFi event can degrade rollup performance.
  • Pure scaling shifts to L2s, but their UX remains tied to L1's peak load moments.
Correlated
Latency Risk
L1-Dependent
UX Floor
04

The Modular Trap: Celestia & Alt-DA Competition

Ethereum blobs must compete on cost with specialized Data Availability layers like Celestia and Avail.

  • Cost differentials could push rollups to use cheaper, less secure DA.
  • Fragments security and liquidity, undermining Ethereum's monolithic security sell.
  • Ethereum's blob market must balance value capture with competitive pricing.
10-100x
Cost Delta (Est.)
Security Fragmentation
Key Risk
05

The Surge S-Curve: Demand Outpacing Supply

Blob supply is fixed short-term; demand from thousands of rollups will eventually saturate it.

  • Full danksharding with 64 blobs/block is years away.
  • Interim period risks high fee volatility as L2 adoption grows.
  • Rollups must optimize data compression (e.g., zk-proofs, validity proofs) to stay competitive.
64 Blobs
Future Capacity
Volatile
Interim Fees
06

The Builder Edge: MEV for Data Ordering

Proposers and builders control blob ordering within a block, creating new MEV vectors.

  • Can censor or delay specific rollup's data for profit.
  • May bundle blobs from their affiliated L2s preferentially.
  • Adds a centralization risk to data availability, requiring PBS (Proposer-Builder Separation) enhancements.
New Vector
MEV Risk
PBS Required
Mitigation
future-outlook
THE COST CURVE

The Path to Full Danksharding: From Curves to Plateaus

Proto-Danksharding (EIP-4844) introduces a new transaction type with blob-carrying transactions, creating a distinct and volatile fee market for rollup data.

Blob fee market separation is the primary mechanism. Blob fees are determined by a separate EIP-1559-style mechanism, decoupling them from standard execution gas costs. This prevents L2s like Arbitrum and Optimism from competing with users for block space.

Target blob count is six. The base fee adjusts to target ~0.375 MB per block, a 3x increase over pre-4844 calldata limits. This creates a supply plateau where marginal cost for additional blobs is near-zero until demand exceeds target capacity.

Volatility defines the new normal. Unlike stable execution gas, blob fees will experience sharp spikes during events like NFT mints or airdrops on zkSync or Base. This volatility is a feature, not a bug, efficiently pricing ephemeral data.

Evidence: Post-4844, the theoretical maximum data availability cost for a rollup like StarkNet is ~$0.001 per transaction, down from ~$0.40 using calldata, but actual costs will fluctuate with on-chain demand.

takeaways
POST-4844 REALITIES

Architectural Imperatives for the Blob Era

Proto-danksharding has introduced a new, volatile cost curve for data availability; these are the new architectural constraints for builders.

01

The Problem: Blob Gas Spikes

EIP-4844's separate gas market for blobs is designed for volatility. Without hedging, a sudden surge in L2 posting activity can cause 10-100x cost spikes, breaking fee predictability for end-users.

  • Key Risk: Unpredictable L2 transaction fees during high-demand events.
  • Key Imperative: Architectures must incorporate blob price oracles and dynamic batch scheduling.
100x
Spike Potential
~6/min
Blob Target
02

The Solution: Cost-Aware Sequencer Design

Next-gen rollup sequencers, like those from Arbitrum and Optimism, must treat blob gas as a primary input. This means dynamic batching that delays non-urgent transactions and blob packing efficiency to maximize data per unit cost.

  • Key Benefit: ~30-50% lower average data costs via intelligent scheduling.
  • Key Benefit: Smoother, more predictable fee curves for end-users.
-50%
Avg. Cost
Dynamic
Batching
03

The Problem: The 18-Day Time Bomb

Blobs are pruned after ~18 days. This is a hard deadline for any protocol, like The Graph or Covalent, that relies on historical data availability for indexing or proofs. On-chain permanence is no longer guaranteed.

  • Key Risk: Data loss and broken state proofs for applications needing old data.
  • Key Imperative: Mandatory integration with long-term storage layers like Filecoin, Arweave, or EigenDA.
18 Days
Prune Window
Mandatory
External DA
04

The Solution: Modular Data Pipelines

Architectures must bifurcate: Hot Data on blobs for immediate consensus, Cold Data to decentralized storage. This mirrors the Celestia and EigenLayer philosophy, creating a cost-optimized, multi-layer DA stack.

  • Key Benefit: >90% cost reduction for historical data storage.
  • Key Benefit: Enables verifiable computation on full history (e.g., RISC Zero proofs).
-90%
Storage Cost
Multi-Layer
DA Stack
05

The Problem: Centralized Blob Relays

Most L2s currently rely on a single, trusted operator to post data to Ethereum. This creates a liveness fault and censorship risk. If the sequencer fails to post a batch, the chain halts.

  • Key Risk: Single point of failure for chain liveness.
  • Key Imperative: Decentralize the blob posting process with proof-of-custody or multi-sig relay networks.
1-of-N
Trust Assumption
Critical
Liveness Risk
06

The Solution: Shared Sequencer & DA Layers

Adopt a shared sequencer network like Astria or Espresso coupled with a sovereign DA layer like Celestia. This separates execution, sequencing, and data availability, eliminating the single-operator risk for blob posting.

  • Key Benefit: Censorship-resistant and liveness-guaranteed L2 operation.
  • Key Benefit: Enables atomic cross-rollup composability via shared sequencing.
Decentralized
Posting
Atomic
Cross-Rollup
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EIP-4844 Cost Curves: The Real L2 Economics After Mainnet | ChainScore Blog