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 Modularity Makes MEV Quantification Nearly Impossible

The modular blockchain thesis fragments value flows across specialized layers. This analysis argues that this architectural shift makes measuring the total extracted MEV an intractable, multi-dimensional problem, with profound implications for security and economics.

introduction
THE OBSERVABILITY CRISIS

Introduction

Modular blockchain design fragments the MEV supply chain, making comprehensive quantification a distributed systems nightmare.

MEV quantification is now impossible because the value flow is no longer contained within a single state machine. Modular architectures like Celestia, EigenDA, and Arbitrum Nitro delegate execution, settlement, and data availability to specialized layers, creating a fragmented MEV supply chain.

Traditional mempool analysis fails as intents and orders route through off-chain networks like UniswapX or private RPCs such as Flashbots Protect. The auction for block space is no longer the sole, observable market; it is preceded by opaque off-chain coordination.

Settlement and DA layers introduce new extractable value. Proposers on EigenLayer restaking pools or validators on Celestia can extract value by manipulating data ordering or availability, creating cross-domain MEV that is invisible to execution layer analysis.

Evidence: Over 60% of Ethereum DEX volume now routes through intent-based systems or private orderflow, according to CowSwap and UniswapX data. This volume is invisible to public mempool scrapers, representing a fundamental data gap.

thesis-statement
THE DATA GAP

The Core Argument: The Measurement Black Hole

Modular architecture fragments transaction flow, making comprehensive MEV extraction and quantification impossible with current tooling.

MEV is now multi-chain. A single user swap now traverses a rollup, a shared sequencer network like Espresso, and a settlement layer like Celestia. Traditional block explorers like Etherscan see only the final settlement proof, not the auction dynamics on the rollup sequencer.

Sequencer-level MEV is invisible. Rollups like Arbitrum and Optimism batch transactions off-chain. The profit extracted from ordering within that batch is a black box, unreported to Flashbots' mev-boost or EigenPhi. This creates a massive, unmeasured MEV pool.

Cross-domain MEV compounds the problem. An arbitrage between Ethereum mainnet and Base involves a bridge like Across. The optimal routing exploits price differences across both domains and the bridging latency, creating MEV that no single-chain analyzer can capture.

Evidence: Over 60% of DEX volume now occurs on L2s (L2Beat), but MEV dashboards track less than 5% of total value there. The quantified $1B+ in extracted MEV is a severe undercount, missing the modular stack's hidden liquidity.

QUANTIFICATION CHALLENGES

The MEV Visibility Matrix: Monolithic vs. Modular

Compares the observability and measurability of Maximum Extractable Value (MEV) across different blockchain architectural paradigms, highlighting why modular designs create a quantification black hole.

MEV Observability MetricMonolithic L1 (e.g., Ethereum)Modular Execution Layer (e.g., Arbitrum, Optimism)Modular Settlement/DA Layer (e.g., Celestia, EigenDA)

Atomic Cross-Domain Bundle Visibility

Sequencer Profit Attribution Window

12.8 seconds (Ethereum slot time)

Indefinite (Rollup challenge period: ~7 days)

Not Applicable

Public Mempool for Searcher Bidding

Standardized MEV Revenue Metric (e.g., Daily Gas Spent)

Directly calculable from chain data

Requires proprietary sequencer data

Not Applicable

Cross-Rollup Arbitrage MEV Detectable On-Chain

N/A (Single chain)

Only if arbitrage finalizes on a shared L1

Proposer-Builder Separation (PBS) Enforcement

Native via MEV-Boost

Centralized Sequencer as sole builder

Data Availability for MEV Forensic Analysis

Full block data on-chain

Data posted to external DA layer (Celestia, EigenDA)

Raw data blobs only, no execution context

deep-dive
THE MEV DATA GAP

Anatomy of an Intractable Problem

Modular blockchains fragment the MEV supply chain, making comprehensive quantification and attribution a fundamentally unsolved problem.

MEV is now multi-chain. The monolithic chain model concentrated MEV data within a single sequencer's mempool. Rollups like Arbitrum and Optimism now operate independent sequencers, fragmenting the data source and creating blind spots for traditional extractors like Flashbots.

Cross-domain MEV is invisible. Atomic arbitrage between an L2 and Ethereum mainnet, or across rollups via a bridge like Across or LayerZero, creates value that no single chain's data can fully capture. This inter-blockchain MEV escapes current measurement frameworks.

Proposer-Builder Separation (PBS) compounds opacity. With PBS, the entity proposing the block (e.g., an L2 sequencer) is separate from the builder assembling transactions. This adds a data silo between the raw transaction flow and the final block, obscuring the builder's profit extraction strategies.

Evidence: Flashbots' mev-boost relay, which standardized MEV data on Ethereum, has no direct equivalent in modular stacks. The lack of a canonical data feed for rollup sequencer mempools proves the quantification infrastructure does not exist.

case-study
THE MEV BLACK BOX

Case Studies in Opacity

Modular blockchains fragment the MEV supply chain, turning a complex problem into a near-intractable one for researchers and regulators.

01

The Sequencer Profit Obfuscation

Rollup sequencers (Arbitrum, Optimism) internalize MEV via private mempools or off-chain auctions, making profits invisible on-chain. This creates a data black hole where the true cost to users is unknowable.

  • Revenue Leakage: Sequencer revenue is off-chain, bypassing L1 data availability.
  • Unverifiable Fairness: Users cannot audit transaction ordering without sequencer transparency.
  • Cross-Chain Contagion: Opaque sequencing on one rollup can influence MEV opportunities on connected chains like Ethereum.
~$100M+
Annual Hidden Value
0%
On-Chain Visibility
02

Interchain MEV & Bridge Arbitrage

Value extraction now occurs across modular components (rollups, L1s, app-chains) via bridges like LayerZero and Across. This creates a multi-dimensional MEV game where latency and data availability across chains are the key variables.

  • Fragmented Liquidity: Arbitrageurs must monitor dozens of state channels and liquidity pools.
  • Oracle Manipulation: Cross-chain messaging (e.g., Wormhole, CCIP) introduces new oracle-based MEV vectors.
  • Impossible Attribution: It's unclear if profit originated from L1, an L2, or the bridge protocol itself.
10+
Chains Per Arb
~200ms
Latency Advantage
03

Sovereign Rollups & Data Availability Markets

Sovereign rollups (e.g., Celestia ecosystem) post data to a separate DA layer, decoupling execution from settlement. This splits the MEV timeline, hiding critical auction and ordering data in proprietary DA networks.

  • DA-Level Censorship: Data availability providers can influence which transactions are even available for inclusion.
  • No Universal Mempool: There is no canonical, public mempool across the modular stack.
  • Regulatory Blind Spot: Jurisdictional arbitrage emerges as MEV activity shifts to unregulated DA layers.
2-3
Hidden Layers
New Vector
Censorship Risk
04

Intent-Based Architectures (UniswapX, CowSwap)

These systems shift the MEV burden from users to solvers, who compete off-chain in sealed-bid auctions. While improving UX, they centralize MEV quantification into private solver networks, making the market efficiency and extracted value opaque.

  • Solver Cartels: A small set of sophisticated players (e.g., PropellerHeads, Barter) dominate the solving market.
  • Opaque Auction Mechanics: The "best" execution is determined by undisclosed solver logic and cross-domain liquidity.
  • MEV Recycling: Solvers often recapture MEV internally, never revealing the original opportunity.
<10
Dominant Solvers
100%
Off-Chain Logic
counter-argument
THE AGGREGATOR HYPOTHESIS

Counterpoint: Could Aggregators Solve This?

Transaction aggregators like UniswapX and CowSwap propose a centralized MEV quantification point, but modular execution shatters this model.

Aggregators centralize MEV quantification by routing user transactions through a single, off-chain solver network. This creates a clear point for measuring extracted value, as seen in CowSwap's batch auctions or UniswapX's fill competition.

Modular execution fragments the data layer, scattering transaction flow across rollups, validiums, and app-chains. A user's cross-chain swap via Across or LayerZero involves multiple, isolated sequencer markets, making holistic MEV tracking impossible.

The aggregator becomes just another client in a multi-sequencer world. Its view is limited to the liquidity it can access, missing MEV captured by native chain sequencers like those on Arbitrum or Optimism before orders reach the aggregator.

Evidence: Flashbots' SUAVE aims to be a universal mempool but struggles with rollup sequencer exclusivity. A solver on Polygon zkEVM cannot see or quantify MEV opportunities being captured privately on the Base sequencer.

risk-analysis
THE MEV QUANTIFICATION BLACK BOX

The Unquantified Risks

Modularity fragments the transaction lifecycle, making systemic risk analysis a game of incomplete information.

01

The Inter-Blockchain MEV Problem

MEV no longer exists in a single mempool. Cross-domain arbitrage between rollups and L1s creates hidden, unobservable value flows.\n- Unobservable Latency: Profit windows exist in the ~2-12 second gap between L2 sequencing and L1 finalization.\n- Fragmented Data: No single entity sees the full cross-chain order flow for UniswapX or Across intents.\n- Quantification Gap: Reported 'on-chain' MEV captures <30% of total extractable value in a modular stack.

<30%
Visibility
~2-12s
Blind Spot
02

Sequencer as a Black Box

Centralized sequencers like those on Arbitrum and Optimism control transaction ordering off-chain. Their private mempools are opaque.\n- Private Order Flow: The most valuable MEV (frontrunning, sandwiching) is extracted before transactions are public.\n- No Auditable Ledger: You cannot quantify what you cannot see. Profit from ~50-80% of L2 volume is hidden.\n- Trust Assumption: Quantification relies on sequencers self-reporting, creating a fundamental principal-agent problem.

50-80%
Opaque Volume
0
Public Mempool
03

The Shared Security Illusion

Using Ethereum for data availability and settlement does not secure the execution layer's economic fairness. MEV is an execution-layer property.\n- Sovereign Risk: A malicious rollup sequencer can extract MEV with impunity; Ethereum validators cannot intervene.\n- Data vs. Execution: Celestia provides data, not ordering guarantees. EigenLayer restakers secure middleware, not sequencer honesty.\n- Unpriced Risk: Protocols building on modular stacks are exposed to MEV risks they cannot measure or hedge against.

$0
Slashable Stake
100%
Sequencer Control
04

Intent-Based Architectures

Systems like UniswapX, CowSwap, and Across abstract execution to solvers. This moves MEV from public block space to private competition.\n- Solver Competition: MEV becomes a private bidding war among ~dozens of solvers, with outcomes hidden.\n- Immeasurable Efficiency: The 'best' execution is defined by the solver, not an on-chain verifiable metric.\n- New Centralization: MEV quantification depends on solver transparency, creating data oligopolies like Flashbots SUAVE aims to address.

Private
Auction
Oligopoly
Solver Risk
05

The Interoperability Layer

Bridges and messaging layers like LayerZero, Wormhole, and Axelar are themselves massive MEV sinks. Cross-chain arbitrage is their primary use case.\n- Message Reordering: Validators/Relayers can reorder cross-chain messages for MEV, a risk not captured in TVL security models.\n- Asymmetric Latency: Fast outbound, slow inbound bridges create guaranteed arbitrage windows.\n- Unified Quantification Impossible: Each bridge has a unique trust model and latency profile, preventing a unified MEV risk score.

$10B+
TVL at Risk
N/A
Unified Metric
06

The Data Availability Frontier

Celestia, EigenDA, and Avail separate data publishing from execution. This introduces a new MEV vector: data withholding.\n- Withholding Attacks: A sequencer can withhold transaction data to extract MEV, only publishing after profit is secured.\n- Prover-Attacker Dilemma: zk-Rollups face this acutely; a prover can generate a valid proof from withheld data.\n- Unquantifiable Delay Risk: The economic value of a ~10-minute data withholding window is market-dependent and invisible.

~10min
Withholding Window
zk/op
All Rollups
future-outlook
THE MEV BLACK BOX

The Inevitable Opaque Future

Modular blockchain architecture fragments the MEV supply chain, making comprehensive quantification and attribution a statistical impossibility.

MEV quantification becomes impossible because the value extraction pipeline fragments across independent, non-communicating layers. A sequencer on Arbitrum Nova captures a bundle, a solver on CowSwap executes a cross-chain intent, and a proposer on Ethereum finalizes the block—no single entity sees the full profit trail.

Specialized execution layers create data silos. An MEV opportunity that starts on Base and routes through a shared sequencer like Espresso before settling on Celestia is inherently unobservable. Each layer's economic model and data availability solution determines what, if any, MEV data is exposed.

Cross-domain MEV is the primary blind spot. The most lucrative strategies involve atomic arbitrage across Optimism, zkSync, and Polygon zkEVM via bridges like Across or LayerZero. This inter-chain value flow is invisible to any single chain's analytics tools like EigenPhi or Flashbots MEV-Explore.

Evidence: Over 60% of Ethereum's PBS flow is now opaque private orderflow, a trend accelerating with modular rollups. Arbitrum sequencers process millions of transactions daily, but their internal ordering and potential MEV capture are proprietary black boxes.

takeaways
THE MEV QUANTIFICATION CRISIS

TL;DR for Protocol Architects

Modular blockchains fragment state and execution, creating a multi-dimensional MEV landscape that defies simple measurement.

01

The Fragmented State Problem

Modularity splits the canonical state across rollups, validiums, and data availability layers. MEV extraction is no longer confined to a single mempool.

  • Cross-domain arbitrage between L2s like Arbitrum and Optimism creates hidden value flows.
  • Data withholding attacks on Celestia or EigenDA can manipulate settlement, creating unobservable MEV.
  • Quantification requires tracking intent across ~10+ independent state machines.
10+
State Machines
~0s
Global View
02

The Intents & Preconfirmations Black Box

User intents (via UniswapX, CowSwap) and preconfirmations (from Espresso, SUAVE) move value negotiation off-chain.

  • Opaque order flow auctions hide the true economic surplus captured by solvers like Across.
  • Private mempools and encrypted channels prevent canonical measurement of extractable value.
  • Quantification must now model off-chain bargaining power and solver competition, not just on-chain auctions.
Off-Chain
Auction Venue
Unmeasurable
Solver Profit
03

The Interoperability Layer Wildcard

Bridges and messaging protocols (LayerZero, Axelar, Wormhole) are new, centralized MEV extraction points.

  • Cross-chain arbitrage latency creates value differentials that bridge validators can capture.
  • Asynchronous finality between chains turns bridge sequencing into a probabilistic MEV game.
  • Quantification fails because you must audit the internal orderings of proprietary bridge networks.
Proprietary
Sequencing
Async
Finality
04

Solution: MEV-Aware Shared Sequencing

Networks like Astria and Espresso provide a neutral, observable sequencing layer for rollups.

  • Creates a canonical cross-rollup mempool for measuring inter-domain arbitrage.
  • Enables transparent auction design (e.g., time-boost) instead of opaque private deals.
  • Moves quantification upstream from L1 to the sequencer, capturing the full intent lifecycle.
Neutral
Mempool
Upstream
Visibility
05

Solution: Standardized MEV Telemetry

Protocols must emit standardized events (like MEV-Share) for all value extraction points.

  • Mandate sequencers & bridges to log proposed vs. finalized orderings and price impacts.
  • Build a federated data layer (e.g., using Celestia for DA) for aggregate MEV dashboards.
  • Turns black-box profit into a measurable protocol metric for security budgeting.
Federated
Data Layer
Standardized
Events
06

Solution: Economic Modeling Over Heuristics

Replace simple gas price auctions with economic models that account for modular fragmentation.

  • Model MEV as a cross-domain game with solvers, sequencers, and bridges as players.
  • Use agent-based simulation (like Flashbots' mev-inspect-rs) to estimate latent value flows.
  • Quantify the cost of unobservability as a security parameter in protocol design.
Game Theory
Model
Simulation
Required
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
Modular Blockchains Make MEV Quantification Impossible | ChainScore Blog