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Glossary

zk-MEV

zk-MEV is a framework for MEV extraction where the correctness and fairness of transaction ordering is verified using zero-knowledge proofs.
Chainscore © 2026
definition
BLOCKCHAIN CONSENSUS

What is zk-MEV?

zk-MEV is a privacy-preserving approach to Maximal Extractable Value that uses zero-knowledge proofs to hide transaction details from block builders, preventing front-running and information leakage.

zk-MEV is a cryptographic mechanism that applies zero-knowledge proofs (ZKPs) to the process of capturing Maximal Extractable Value (MEV). In traditional MEV, searchers compete by submitting transaction bundles with full visibility to block builders, leading to front-running, back-running, and harmful network congestion. zk-MEV allows searchers to prove they have found a profitable arbitrage or liquidation opportunity without revealing the specific transactions or strategies involved. This proof, known as a zk-SNARK or zk-STARK, is submitted to the block builder, who can verify its validity and the associated profit without seeing the underlying data.

The core architecture involves two main parties: the searcher and the builder. The searcher discovers an MEV opportunity and generates a zero-knowledge proof attesting to the correctness and profitability of their proposed state transition. They submit this proof, along with a commitment to the new state root and a bid, to a builder. The builder, often operating a mev-boost-like relay, aggregates these encrypted bids and constructs a block that includes the winning proof. The actual transactions are only revealed and executed after the block is proposed, ensuring the builder cannot steal the strategy.

This paradigm offers significant advantages over dark pools or encrypted mempools. It provides cryptographic guarantees of fairness and correctness, not just obfuscation. Key benefits include searcher privacy, which protects intellectual property and reduces wasteful "gas wars"; builder neutrality, as they cannot exploit the information; and user protection from predatory sandwich attacks. Protocols like SUAVE and research from Ethereum's Privacy & Scaling Explorations team are pioneering this space, aiming to make MEV extraction a more efficient and equitable component of blockchain consensus.

Implementing zk-MEV introduces technical challenges, primarily around proof generation speed and cost. Generating ZKPs for complex DeFi transactions can be computationally intensive, potentially adding latency that makes fast-moving opportunities unprofitable. Solutions involve specialized zk co-processors and optimized circuits. Furthermore, the system requires robust proof verification at the consensus layer and secure mechanisms for the eventual transaction data revelation. Despite these hurdles, zk-MEV represents a fundamental shift towards a more private and efficient financial layer, aligning MEV extraction with the core cryptographic principles of blockchain technology.

key-features
ZK-MECHANISMS

Key Features

zk-MEV is a privacy-preserving approach to Maximal Extractable Value (MEV) that uses zero-knowledge proofs (ZKPs) to hide transaction details from searchers and validators, preventing frontrunning and censorship while still allowing for efficient block building.

01

Privacy-Preserving Auctions

At its core, zk-MEV uses zero-knowledge proofs to enable a sealed-bid auction. Searchers submit encrypted transaction bundles along with a ZKP that cryptographically guarantees the bundle's validity (e.g., correct signatures, sufficient gas, non-negative externalities) without revealing its contents. This prevents frontrunning and sandwich attacks by hiding the strategy from competitors and the block builder.

02

Trustless Execution & Settlement

The system's security relies on cryptographic verification, not social trust. The block builder (or proposer) can include the winning encrypted bundle without knowing what's inside. After the block is proposed, the searcher reveals the transactions. The network verifies the original ZKP, ensuring the executed transactions match the committed proof. This creates a trust-minimized and cryptoeconomically secure MEV market.

03

Censorship Resistance

By encrypting the transaction flow, zk-MEV mitigates transaction censorship. Validators and builders cannot selectively exclude transactions based on their content (e.g., OFAC-sanctioned addresses) because they cannot see the details until after the block is built. This strengthens network neutrality and liveness guarantees, as the economic incentive to include the highest-paying bundle remains, regardless of its contents.

04

Integration with PBS

zk-MEV is designed to integrate with Proposer-Builder Separation (PBS) architectures common in modern blockchains. The block builder receives encrypted bundles and ZKPs, constructs the most profitable block, and submits a commitment to the block proposer (validator). This separation maintains chain efficiency while adding a privacy layer to the MEV supply chain, protecting both end-users and searchers.

05

Reduced MEV Leakage

Traditional MEV leads to value leakage from users to searchers and validators through arbitrage and liquidation profits. zk-MEV can enable fair on-chain auctions (like a first-price sealed-bid auction) for MEV opportunities. This allows the value—or a portion of it via a burn mechanism or protocol treasury—to be captured for the network or returned to users, improving economic efficiency.

06

Example: zk-SNARKs in Practice

Practical implementations, such as those proposed for Ethereum, use zk-SNARKs (Succinct Non-Interactive Arguments of Knowledge). A searcher generates a SNARK proof attesting that their bundle:

  • Pays a fee ≥ a committed amount.
  • Contains only valid signed transactions.
  • Does not cause a net loss to the builder. The proof is tiny and fast to verify on-chain, making the system scalable and practically viable for integration at the consensus layer.
how-it-works
MECHANISM

How zk-MEV Works

zk-MEV is a privacy-preserving mechanism that leverages zero-knowledge proofs to enable secure and verifiable MEV extraction without revealing the underlying transaction data or strategies.

zk-MEV is a cryptographic approach to Maximal Extractable Value (MEV) that uses zero-knowledge proofs (ZKPs) to prove the correctness of a block's construction and the validity of extracted value without disclosing the sensitive transaction data or the searcher's strategy. This allows block builders to create blocks that capture MEV opportunities—such as arbitrage or liquidations—while keeping the details private from the public mempool, other searchers, and even the validators who propose the block. The core innovation is the separation of proving that value was extracted correctly from revealing how it was done.

The workflow typically involves a searcher identifying a profitable MEV opportunity. Instead of broadcasting their transaction bundle publicly, they work with a specialized zk-MEV builder. This builder constructs a block that includes the MEV-extracting transactions and generates a zero-knowledge proof (often a ZK-SNARK or ZK-STARK) attesting that: the block is valid according to consensus rules, state transitions are correct, and any extracted value (e.g., profits from an arbitrage) is transferred to a designated address. The builder then submits only the block header and the compact proof to the network.

Validators or proposers can verify the ZK proof in milliseconds, confirming the block's validity and the legitimacy of the MEV reward without needing to see the transactions inside. The extracted value is often shared between the searcher, the builder, and the block proposer via a trusted fee recipient address specified in the block. This process mitigates frontrunning and MEV theft, as the opportunity remains hidden until the block is finalized. Protocols like Espresso Systems' Tiramisu and Aztec Network's zk.money have pioneered implementations of this concept.

Key advantages of zk-MEV include enhanced privacy for searchers, reduced network congestion from public bidding wars, and potentially fairer value distribution. However, it introduces complexity in proof generation, which can be computationally intensive, and relies on the security and decentralization of the proving network. It represents a shift from the transparent, auction-based model of traditional MEV to a sealed-bid, proof-based system, aligning with broader trends in ZK-rollup and confidential blockchain design.

visual-explainer
MECHANISM

Visualizing the zk-MEV Flow

A conceptual diagram illustrating the end-to-end process of extracting and distributing MEV using zero-knowledge proofs to ensure fairness and verifiability.

The zk-MEV flow begins with searchers identifying profitable transaction opportunities, such as arbitrage or liquidations, within the mempool. They construct MEV bundles containing these transactions and submit them to a specialized zk-MEV relayer. Crucially, the searcher also generates a zero-knowledge proof (ZKP) that cryptographically attests to the correctness of the bundle's execution and its adherence to predefined rules, without revealing the specific transactions or strategies contained within. This proof is submitted alongside the bundle.

The relayer acts as a trustless intermediary, aggregating these proven bundles from multiple searchers. Its primary role is to select the most valuable, proven bundle for inclusion in the next block. The selection is based on a transparent, verifiable auction mechanism, often prioritizing the highest bid (or tip) paid by the searcher for inclusion. The winning bundle and its accompanying ZKP are then forwarded to the block builder or proposer for final inclusion in the blockchain.

The block proposer (e.g., a validator) receives the proven bundle and can verify the attached ZKP in milliseconds. This verification confirms that the bundle is valid and complies with the protocol's MEV rules (e.g., no frontrunning of user transactions) without needing to execute it. Upon successful verification, the proposer includes the bundle in the block. The resulting MEV rewards are then distributed according to the protocol's policy, typically split between the searcher, the relayer, and the block proposer, with a portion often directed to a public goods fund or returned to users.

examples
ZK-MEV

Examples & Implementations

zk-MEV is implemented through specialized protocols and tools that integrate zero-knowledge proofs into the block building and transaction ordering process. These implementations aim to prove the correctness of execution and the fairness of ordering without revealing the underlying strategies or private data.

05

Application-Specific Proofs

Projects build custom zk-circuits for specific MEV-related actions. Examples include:

  • zk-proofs of arbitrage opportunity existence without revealing the path.
  • Proofs of liquidation eligibility without exposing the target account.
  • Proofs of fair ordering in a sealed-bid auction. These circuits are the cryptographic engines enabling private and verifiable MEV extraction.
06

The Endgame: zk-Proof of Block Validity

The ultimate implementation is a system where the entire block-building process—from transaction selection to state execution—is proven correct with a single succinct zero-knowledge proof. This zk-SNARK or zk-STARK would be attached to the block, allowing the network to verify that the block builder followed all protocol rules and that the proposed ordering is valid, fully realizing trustless MEV.

PROTOCOL COMPARISON

zk-MEV vs. Traditional MEV

A technical comparison of extraction mechanisms for Maximum Extractable Value, contrasting privacy-preserving zero-knowledge proofs with the traditional public mempool model.

Feature / MetricTraditional MEVzk-MEV

Primary Mechanism

Public mempool bidding & frontrunning

Private order flow auctions with ZK proofs

Transaction Privacy

Frontrunning Resistance

Searcher Competition

Open, permissionless

Permissioned via proof generation

Block Builder Role

Centralized (searcher-builder)

Decentralized (prover-sequencer)

Extraction Latency

< 1 sec (on-chain)

~12 sec (proof generation + settlement)

Economic Efficiency

High value leakage to arbitrage

Value capture returned to users

Settlement Finality

Immediate (L1)

Delayed (requires proof verification on L1)

security-considerations
ZK-MEV

Security & Trust Assumptions

zk-MEV is the application of zero-knowledge proofs to the extraction of Miner/Maximal Extractable Value, aiming to create a more secure, private, and fair market for transaction ordering.

01

Core Security Premise

zk-MEV replaces the need for trusted third parties or off-chain auctions with cryptographic guarantees. By using zero-knowledge proofs (ZKPs), it allows searchers to prove the validity and profitability of a proposed block bundle without revealing the underlying transactions or strategies, preventing front-running and information leakage.

02

Trust Minimization in Ordering

The system reduces trust in the block builder or proposer. A zk-SNARK proof attached to a block bundle cryptographically verifies that:

  • All transactions are valid.
  • The bundle respects state transitions.
  • The proposed ordering meets predefined rules (e.g., no sandwich attacks on included users). This allows validators to accept profitable bundles from any source without fearing invalid or malicious blocks.
03

Privacy for Searchers

A key security assumption is that a searcher's strategy remains confidential until block inclusion. ZKPs enable private computation of optimal arbitrage or liquidation paths. This prevents other network participants from copying strategies (MEV theft) and mitigates the centralizing pressure where only the largest, most connected searchers can compete.

04

Relayer & Prover Trust Assumptions

While the proof itself is trustless, practical implementations may introduce weak trust assumptions:

  • Relayer Availability: The entity submitting the proof to the chain must be live.
  • Prover Honesty: The computational party generating the ZKP must be correct. This is mitigated by the ability for anyone to verify the proof instantly and the potential for proof-of-correctness incentives.
05

Resistance to Centralization

Traditional MEV often leads to centralized block builder markets and proposer-builder separation (PBS). zk-MEV's permissionless proving allows smaller searchers to participate securely, challenging the dominance of large, centralized MEV relays and builders by making their trust advantage less critical.

ZK-MEV

Common Misconceptions

Zero-Knowledge MEV (zk-MEV) is a frontier concept in blockchain design, often misunderstood. This section clarifies its core mechanisms, dispels prevalent myths, and distinguishes it from traditional MEV extraction.

No, zk-MEV is not simply MEV occurring on a zk-rollup; it is a distinct architectural approach that uses zero-knowledge proofs to create a fair and verifiable marketplace for block building. While MEV exists on any blockchain with a mempool, zk-MEV aims to cryptographically prove the correctness and optimality of a block's construction without revealing the underlying transaction data or searcher strategies. This transforms the opaque, competitive process of traditional MEV into a transparent, proof-driven system where the validity of the block's ordering and inclusion can be verified by anyone, not just trusted proposers.

ZK-MEV

Frequently Asked Questions

Zero-Knowledge MEV (zk-MEV) is a frontier in blockchain infrastructure that combines MEV extraction with zero-knowledge proofs to enhance privacy and fairness. These questions address its core concepts, mechanisms, and implications for the ecosystem.

zk-MEV is the application of zero-knowledge proofs (ZKPs) to the extraction of Miner/Maximal Extractable Value (MEV). It works by allowing searchers to privately prove they have found a profitable transaction ordering or arbitrage opportunity without revealing the underlying strategy. This proof, often a zk-SNARK or zk-STARK, is submitted to a network of block builders or validators. The builder can verify the proof is valid and that the proposed bundle will increase their block reward, then include it in a block without learning the searcher's private data or front-running their strategy. This process typically occurs in specialized encrypted mempools or via commit-reveal schemes.

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