Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
the-modular-blockchain-thesis-explained
Blog

Why Rollups Are Outsourcing Their Most Critical Cost Center

An analysis of how the modular blockchain thesis forces rollups to outsource data availability, their primary variable cost, creating a precarious dependency on external fee markets and protocol governance.

introduction
THE COST CENTER

The Modular Bargain: Trading Sovereignty for Scale

Rollups are outsourcing data availability to specialized layers, sacrificing direct control over their most expensive resource for long-term scalability.

Data Availability is the bottleneck. The cost of posting transaction data to Ethereum L1 dominates a rollup's operating expenses, often exceeding 90% of its total cost. This makes the data availability (DA) layer the primary cost center for any optimistic or ZK rollup.

Sovereignty has a price. Managing your own DA, like a sovereign rollup on Celestia or Avail, provides maximum control but requires building and securing a validator set. This introduces overhead that general-purpose rollups like Arbitrum and Optimism avoid by using Ethereum.

The bargain is explicit. Projects like Manta Pacific and Aevo migrated to Celestia, cutting DA costs by over 99%. They trade the security and liveness guarantees of Ethereum for the cost efficiency and scalability of a specialized DA layer.

Evidence: Arbitrum Nitro spends ~$1.5M monthly on Ethereum calldata. A comparable volume on Celestia costs under $10,000. This order-of-magnitude reduction forces every rollup team to evaluate the modular trade-off.

PER-BLOCK COST ANALYSIS

The DA Pricing Matrix: A Rollup's Variable Cost Breakdown

A first-principles breakdown of variable data availability costs for a 100KB block, comparing on-chain, off-chain, and hybrid models.

Cost ComponentEthereum Calldata (Status Quo)EigenDA (Off-Chain DA)Celestia (Sovereign Rollup)

Base DA Cost (per 100KB)

$12.50

$0.25

$0.15

Cost Scaling (Per MB)

Linear ($125/MB)

Sub-linear ($1.50/MB)

Sub-linear ($1.00/MB)

Settlement Latency

~12 minutes (Ethereum L1)

~12 minutes (via EigenLayer)

Instant (to Celestia)

Data Availability Guarantee

Ethereum Consensus

Cryptoeconomic (EigenLayer Restaking)

Celestia Consensus

Force Inclusion / Censorship Resistance

Requires Native Token for Fees

ETH

ETH

TIA

Integration Complexity

Native (Low)

Medium (EigenLayer AVS)

High (Sovereign Stack)

deep-dive
THE ARCHITECTURAL FLAW

The Fee Market Trap: When Your Cost Center Isn't Yours

Rollups outsource their primary cost center to L1, creating a structural vulnerability that limits their economic sovereignty.

Rollups are L1 tenants. Their core cost is L1 data posting, a market they do not control. This makes their unit economics hostage to Ethereum's fee volatility, directly impacting user experience and protocol predictability.

Sequencers lack pricing power. Unlike L1 validators, a rollup's sequencer cannot set its own fee market. It must pay whatever Ethereum's base fee demands, creating a pass-through cost model with zero margin control.

This is a structural subsidy. Projects like Arbitrum and Optimism currently absorb L1 costs to bootstrap users. This is unsustainable; the moment they try to monetize, they face direct competition from other L1s with native fee markets.

Evidence: During the 2021 bull run, posting a batch to Ethereum cost over $100k. A rollup's revenue from user fees was a fraction of this, forcing them to operate at a massive loss to maintain usability.

counter-argument
THE COST-COMPLEXITY TRADE

The Bull Case: Why This Is Still the Right Trade-Off

Outsourcing data availability to external providers like Celestia or EigenDA is the optimal strategy for rollups to achieve sustainable scaling and competitive fees.

The core trade-off is cost for complexity. Rollups must publish transaction data for verification. Using Ethereum for this is secure but expensive. Dedicated data availability layers like Celestia or EigenDA offer the same cryptographic guarantees at a fraction of the cost, freeing capital for protocol incentives and user subsidies.

This creates a new competitive moat. A rollup's primary advantage is its execution environment. Outsourcing data availability lets teams focus engineering resources on optimizing their virtual machine and sequencer, rather than building and maintaining a bespoke consensus layer. This specialization drives faster innovation cycles.

The market validates modular scaling. The rapid adoption of Celestia by chains like Arbitrum Nova and Manta Pacific, alongside EigenDA's integration with Linea and zkSync, proves the demand. These rollups are not waiting for Ethereum's Danksharding; they are scaling now.

Evidence: Arbitrum Nova, using Celestia, has reduced its L1 data posting costs by over 90% compared to a standard Arbitrum One transaction. This cost saving is a direct subsidy for user growth and developer grants.

risk-analysis
COST CENTER VULNERABILITY

The Bear Case: Four Existential Risks of Outsourced DA

Rollups are offloading data availability to external networks, creating a critical dependency on their most significant operational expense.

01

The Economic Capture Problem

DA is a rollup's largest recurring cost. Outsourcing it to a single provider like Celestia or EigenDA creates a monopoly pricing risk. The provider can raise fees once rollups are locked in by network effects and tooling.

  • Vendor Lock-in: Switching costs are high due to integrated sequencers and proof systems.
  • Fee Volatility: DA costs become unpredictable, directly impacting user transaction fees.
60-80%
of OpEx
>1B
TVL at Risk
02

The Liveness-Security Tradeoff

Using an external DA layer introduces a new liveness assumption. If the DA network halts, the rollup cannot progress or prove fraud, even if its own sequencer is live.

  • Chain Halt Risk: A failure in EigenDA or Avail stalls all dependent rollups.
  • Security Dilution: Rollup security is now the weakest link between its own validators and the DA network's.
~0
Fault Tolerance
2+ Layers
of Trust
03

The Data Retrieval Crisis

Outsourced DA fragments the data landscape. Users and validators must now monitor multiple networks to fetch transaction data for verification, increasing latency and complexity.

  • Slow Proofs: Fetching data from Celestia can add ~2 seconds to a fraud proof challenge period.
  • Relayer Reliance: Forces dependence on a new class of infrastructure (e.g., EigenLayer operators) for data bridging, adding another potential failure point.
+2s
To Challenge
N+1
Networks to Query
04

The Protocol Bloat Trap

The DA market is becoming crowded with specialized chains (Celestia, EigenDA, Avail, Near DA). This forces rollup developers to become experts in multiple, complex systems instead of focusing on their core application logic.

  • Integration Overhead: Each DA layer has unique APIs, economic models, and tooling.
  • Fragmented Roadmap: Rollup development is tied to the upgrade cycle of an external protocol, not user needs.
4+
DA Protocols
High
Dev Complexity
future-outlook
THE COST CENTER

The Inevitable Pivot: From Tenants to Landlords

Rollups are abandoning their own sequencers to outsource the most expensive and operationally complex component of their stack.

Sequencer operations are a cost center, not a competitive moat. Running a high-availability, low-latency sequencer requires significant engineering, DevOps, and capital for hardware and staking. This is a distraction from core protocol development and user acquisition.

The shared sequencer model wins by aggregating transaction ordering across multiple rollups. This creates economies of scale, reduces costs for individual chains, and unlocks cross-rollup atomic composability, a feature impossible with isolated sequencers.

The market is converging on this architecture. Espresso Systems, Astria, and the Shared Sequencer Network (SSN) are building this infrastructure. Rollups like Eclipse and Lava are already designed as tenants, not landlords, of sequencing.

Evidence: A single shared sequencer cluster serving 10 rollups has a 10x lower marginal cost per transaction than 10 independent sequencer clusters. This is the economic logic driving the pivot.

takeaways
ROLLUP COST OPTIMIZATION

TL;DR for Busy Builders

Rollups are decoupling execution from data availability and settlement to survive the scaling wars.

01

The Data Availability Bottleneck

Publishing transaction data to Ethereum L1 is the single largest cost for rollups, often consuming 70-90% of total sequencer expenses. This cost scales linearly with usage, creating a fundamental economic ceiling.

  • Cost Driver: Paying ~$0.30 per KB for L1 calldata.
  • Scalability Limit: Throughput is capped by L1 gas limits and price volatility.
  • Strategic Risk: Makes rollup economics vulnerable to L1 congestion.
70-90%
Of Sequencer Cost
$0.30/KB
L1 Calldata Cost
02

Modular DA: The Celestia & EigenDA Play

Rollups are offloading data posting to specialized, cheaper layers like Celestia and EigenDA, which offer data availability guarantees at a fraction of Ethereum's cost.

  • Cost Reduction: ~100x cheaper than Ethereum calldata.
  • Throughput: Enables 100k+ TPS for rollup execution layers.
  • Ecosystem Shift: Adopted by Arbitrum Orbit, zkSync Hyperchains, and Polygon CDK chains for cost-competitive L3s.
100x
Cheaper DA
100k+ TPS
Enabled Throughput
03

Shared Sequencing & Settlement (Espresso, Astria)

Outsourcing block production and ordering to neutral, shared sequencers like Espresso Systems and Astria unlocks cross-rollup composability and reduces operational overhead.

  • Atomic Composability: Enables seamless cross-rollup transactions.
  • Decentralization Path: Moves away from a single, centralized sequencer operator.
  • Efficiency: Shared infrastructure reduces fixed costs for individual rollups.
~500ms
Fast Finality
0
Sequencer Ops
04

The Endgame: Rollups as Pure Execution Layers

The logical conclusion is the "Sovereign Rollup" or "Execution Layer" model, where rollups focus solely on processing transactions, outsourcing everything else.

  • Core Competency: Maximize execution speed and VM innovation (EVM, SVM, Move).
  • Commoditized Stack: DA, sequencing, and settlement become pluggable services.
  • Market Reality: This modular competition drives costs toward marginal execution cost, the true scaling metric.
$0.001
Target Tx Cost
1
Core Job
ENQUIRY

Get In Touch
today.

Our experts will offer a free quote and a 30min call to discuss your project.

NDA Protected
24h Response
Directly to Engineering Team
10+
Protocols Shipped
$20M+
TVL Overall
NDA Protected Directly to Engineering Team