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zero-knowledge-privacy-identity-and-compliance
Blog

Why 'Oracle Extractable Value' Is the Next Frontier for MEV

Oracle nodes can sequence or manipulate private data feeds before attestation, creating a new, opaque form of extractable value. This analysis explores OEV's mechanics, risks, and the ZK-powered solutions emerging to combat it.

introduction
THE NEW FRONTIER

Introduction

Oracle Extractable Value (OEV) is the systematic capture of value from oracle price updates, representing the next major vector for MEV.

MEV is moving off-chain. The battle for transaction ordering on-chain is saturated, pushing extractors to target the oracle update mechanism. Protocols like Chainlink and Pyth broadcast price feeds that trigger liquidations and limit orders, creating a predictable, high-value data event.

OEV is structurally different. Unlike on-chain MEV, OEV extraction requires coordination with the oracle network. This creates a new market for searcher-oracle collaboration, where entities like Flashbots and bloXroute compete to win the right to deliver the update and capture the arbitrage.

The value is already leaking. The $100M+ liquidation on Venus Protocol in 2022 demonstrated the latent value in oracle updates. Every major lending protocol—Aave, Compound, MakerDAO—is a potential OEV target each time its price feed refreshes.

This is a protocol design failure. The current oracle model bundles data delivery and execution, creating a single point of value extraction. The solution is modular oracle design, separating attestation from execution, a concept pioneered by UMA's Optimistic Oracle and Chainlink's CCIP.

thesis-statement
THE DATA PIPELINE

The Core Thesis: OEV is Inevitable and Systemic

Oracle Extractable Value is not a bug but a structural feature of any system where critical data updates trigger financial transactions.

OEV is structurally inevitable. Any protocol using an oracle for pricing, randomness, or cross-chain data creates a deterministic update event. This event is a centralized point of value transfer that MEV searchers will exploit, just as they do with DEX liquidity.

The value is systemic, not marginal. Unlike DEX MEV, OEV scales with the total value secured by the oracle feed. A single Chainlink price update for a $1B lending pool creates a larger opportunity than thousands of small DEX swaps.

Protocols are already paying this tax. Aave and Compound users implicitly pay OEV via worse execution on liquidations and interest rate updates. This value currently leaks to generalized searchers via Flashbots, not the oracle or the dApp.

Evidence: Over $22B in DeFi loans rely on Chainlink price feeds. Each update is a multi-million dollar arbitrage signal. Protocols like UMA and API3 are architecting solutions to capture and redistribute this value.

WHY OEV IS THE NEXT FRONTIER

OEV Attack Vectors: A Comparative Analysis

A comparative analysis of how different oracle architectures and protocols handle the extraction of value from price updates, a critical vector for MEV.

Attack Vector / MitigationClassic Push Oracles (e.g., Chainlink)Intent-Based Systems (e.g., UniswapX, Across)OEV-Capturing Oracles (e.g., Chainlink Data Streams, UMA Optimistic)

Primary Vulnerability

Frontrunning on price update TX

Searcher competition for fulfillment

Auction for update execution rights

Extraction Window

Seconds to minutes (mempool visibility)

< 1 second (private mempool/off-chain)

Defined auction period (e.g., 1 block)

Value Capture Mechanism

Searcher profit (100% extracted)

Protocol/Solver profit (shared via tips)

Protocol/Validator profit (auction revenue)

User Impact (Slippage)

High (price already stale)

Low (intent specifies worst-case price)

Mitigated (value recycled via auction)

Network Congestion Trigger

Yes (spikes during updates)

No (execution off-chain/optimistic)

Minimal (single auction tx per update)

Requires Trusted Relayer Set

No

Yes (for off-chain execution)

No (on-chain, verifiable auction)

Example Protocols Impacted

Aave, Compound, Synthetix

CowSwap, UniswapX, Across

dYdX, Perpetual Protocols, GMX

deep-dive
THE VALUE FLOW

The Anatomy of an OEV Extraction

OEV is the systematic capture of value generated by oracle price updates, creating a new MEV vector.

OEV is arbitrage on state. An OEV extraction occurs when an oracle like Chainlink or Pyth broadcasts a price update. Searchers race to execute trades on dependent protocols like Aave or Compound before the new price is reflected, profiting from the information latency.

The extraction is a three-phase attack. First, a searcher monitors the mempool for the oracle update transaction. Second, they front-run it with a profitable trade. Third, they back-run the update to close the position, capturing the delta. This is the classic sandwich model applied to oracle latency.

This exploits a fundamental design flaw. Oracle updates are public, batched, and slow relative to blockchain execution. Protocols like UMA's oSnap or API3's dAPIs attempt to mitigate this by moving updates on-chain via optimistic or first-party oracle models, but adoption is nascent.

Evidence: Over $120M in OEV was extracted from Aave, Compound, and MakerDAO in 2023, with single events on liquidations yielding over $1M. This value is currently captured by searchers, not returned to the protocols or users.

protocol-spotlight
WHY OEV IS THE NEXT FRONTIER

Protocol Spotlight: The ZK Oracle Defense

The MEV arms race is shifting from the mempool to the oracle feed, creating a new attack surface that threatens DeFi's core data layer.

01

The Problem: Oracle Extractable Value (OEV)

OEV is the profit extracted by manipulating the timing or content of oracle price updates. It's the logical next step after DEX arbitrage and sandwich attacks, targeting the ~$10B+ TVL secured by oracles like Chainlink.\n- Front-running liquidations by delaying a price update.\n- Extracting premiums from options and perpetuals.\n- Corrupting the data layer that DeFi's solvency depends on.

$100M+
Annual OEV
~3s
Attack Window
02

The Solution: ZK-Verified Data Feeds

Replace trust with cryptographic proof. Projects like RedStone and Pragma are pioneering feeds where price data is signed and its validity is verified on-chain via ZK proofs.\n- Data integrity is cryptographically guaranteed, not socially assumed.\n- Eliminates the trusted relay layer, the primary OEV extraction point.\n- Enables faster, cheaper updates without security trade-offs.

~500ms
Update Latency
ZK-Proof
Verification
03

The Architecture: Commit-Reveal with ZK

The winning design pattern combines commit-reveal schemes with succinct verification. Oracles commit to a price, then reveal it with a ZK proof of correct computation.\n- OEV is captured and redistributed back to the protocol (see UMA's oSnap).\n- Separation of duties: Data sourcing is decentralized, verification is automated.\n- Composable with intent-based systems like UniswapX and Across.

100%
OEV Recaptured
L1 Agnostic
Deployment
04

The Competitor: EigenLayer & Shared Security

EigenLayer's restaking model presents an alternative: a cryptoeconomic security pool to slash malicious oracle operators. This is a security-through-stakes model vs. ZK's security-through-math.\n- Leverages Ethereum's existing validator set for pooled security.\n- Introduces new slashing risks and complexities.\n- Ultimately less elegant than a pure cryptographic solution.

$15B+
TVL Securing
Social Slashing
Enforcement
05

The Bottleneck: Proving Time & Cost

ZK proofs aren't free. Generating a proof for complex price aggregation (median of 30+ sources) can take seconds and cost dollars, challenging real-time updates.\n- Hardware acceleration (GPUs/ASICs) is becoming mandatory.\n- Proof aggregation (e.g., Nebra) is critical for scaling.\n- The trade-off is clear: higher upfront cost for absolute security vs. cheap, vulnerable updates.

~2s
Proving Time
$0.5-$2
Proof Cost
06

The Endgame: Programmable ZK Oracles

The final evolution is a ZK Coprocessor—an oracle that doesn't just push data, but proves arbitrary computations on historical data on-demand. Think Brevis, Herodotus, or Lagrange.\n- Enables proven DeFi accounting and risk checks.\n- Makes OEV attacks computationally infeasible.\n- Turns the oracle from a liability into a programmable security primitive.

Turing-Complete
Proofs
On-Demand
Data Access
counter-argument
THE REPUTATION FALLACY

Counter-Argument: Is OEV Just a Reputation Risk?

The 'reputation risk' argument against Oracle Extractable Value is a strategic misreading of the economic incentives at play.

Reputation is a weak deterrent. The economic model for oracles like Chainlink is based on staking and service fees, not abstract trust. A validator that forgoes millions in OEV to protect 'reputation' is subsidizing its competitors.

OEV is structurally inevitable. The oracle's role as a price broadcaster creates a natural monopoly on time. This is a fundamental information asymmetry that searchers on Flashbots or bloXroute will exploit, with or without oracle cooperation.

The real risk is protocol capture. The danger is not a tarnished brand, but the incentive misalignment where oracle operators prioritize extractable value over data integrity, creating systemic fragility for protocols like Aave or Compound.

Evidence: MEV-Boost's Precedent. Ethereum validators initially argued MEV threatened decentralization. MEV-Boost formalized the extraction, proving that unclaimed value is a security vulnerability. OEV follows the same path.

risk-analysis
WHY OEV IS THE NEXT FRONTIER FOR MEV

Risk Analysis: The OEV Threat Matrix

Oracle Extractable Value (OEV) is the profit extracted by manipulating the data feeds that power DeFi, representing a systemic risk to protocols like Aave and Compound.

01

The Liquidation Time Bomb

OEV turns critical risk management into a predatory game. Liquidators front-run oracle updates to seize collateral at a discount, extracting value that should belong to the protocol and its users.\n- Primary Target: Lending protocols with $10B+ TVL.\n- Impact: ~$500M+ in value extracted annually, distorting protocol fee models.

$500M+
Annual Extract
10B+
TVL at Risk
02

The Solution: OEV-Aware Oracles (e.g., Chainlink Data Streams)

Mitigating OEV requires moving from low-frequency updates to high-frequency data delivery with commit-reveal schemes. This reduces the profitable time window for front-running.\n- Key Mechanism: Sub-second updates and cryptographic commitments.\n- Benefit: Redirects extracted value back to the dApp as a new revenue stream.

~500ms
Update Latency
+Revenue
For dApps
03

The Problem: DEX Arbitrage Leakage

Oracle-reliant DEXes like Uniswap v2 are vulnerable. Price updates triggered by off-chain arbitrage create predictable, extractable value before the on-chain transaction finalizes.\n- Attack Vector: Sandwich attacks on the oracle update transaction itself.\n- Consequence: Inflated slippage and reduced LP yields for end-users.

5-20 bps
Slippage Leak
LP Loss
Primary Impact
04

The Solution: Auction-Based Capture (e.g., SUAVE, Across)

Instead of letting value leak to general-purpose searchers, protocols can formalize the extraction process via auctions. This captures OEV and redistributes it.\n- Key Mechanism: Sealed-bid auctions for the right to update the oracle.\n- Benefit: Transforms a threat into a verifiable, on-chain revenue source.

>90%
Capture Efficiency
Redistributed
Value Flow
05

The Systemic Risk: Cascading Failures

OEV isn't isolated. An attack on a major oracle like Chainlink or Pyth can trigger a cascade of liquidations and arbitrage across interconnected protocols, threatening DeFi stability.\n- Risk Multiplier: Composability amplifies single-point failures.\n- Historical Precedent: The bZx 'flash loan' attacks were early OEV manifestations.

Cascade
Failure Mode
High
Systemic Score
06

The Architectural Imperative: Intent-Based Design

Long-term mitigation requires moving beyond reactive updates. Frameworks like UniswapX and CowSwap demonstrate that expressing user intent (e.g., 'I want this price') and letting solvers compete minimizes oracle dependency and OEV surface.\n- Paradigm Shift: From state-based to goal-based execution.\n- Benefit: Removes the predictable update that searchers exploit.

Intent
New Paradigm
OEV Surface
Radically Reduced
future-outlook
THE NEW DATA FRONTIER

Future Outlook: The ZK-Verified Data Layer

Zero-knowledge proofs will commoditize data verification, creating a new attack surface for value extraction known as Oracle Extractable Value (OEV).

OEV is the next MEV. The current MEV supply chain extracts value from transaction ordering. A ZK-verified data layer creates a new supply chain for extracting value from the timing and sourcing of oracle data updates for protocols like Aave and Compound.

Data becomes a verifiable commodity. Projects like Chainlink's CCIP and Pythnet are building low-latency data networks. ZK proofs allow any actor to cheaply verify the correctness of off-chain data, separating trust from speed and creating a competitive market for data delivery.

The race is for the execution slot. Just as searchers bid for block space in Flashbots auctions, data searchers will bid for the right to be the first to supply a verified price update to a money market. This execution auction captures the delta between the stale and new price.

Evidence: The EigenLayer AVS model demonstrates the economic design. Specialized 'OEV capture' modules will emerge, similar to how SUAVE aims to decentralize block building. The value at stake scales with the total value secured by oracles, which is in the tens of billions.

takeaways
ORACLE EXTRACTABLE VALUE

Key Takeaways for Builders and Investors

OEV is the next logical evolution of MEV, shifting extraction from block producers to oracle price updates, creating new risks and opportunities.

01

The Problem: Pyth, Chainlink, and API3 as Unintended MEV Hubs

Every oracle price update is a predictable, high-value transaction. Bots front-run or sandwich trades on DEXs like Uniswap and Curve the moment new data hits the mempool, extracting value directly from users.

  • Attack Surface: A single Pyth price feed update can trigger $100k+ in arbitrage MEV.
  • Value Leakage: This is not captured by protocols or returned to data consumers.
$100k+
Per Feed Update
~500ms
Exploit Window
02

The Solution: OEV Auctions (e.g., API3's OEV Share)

Protocols like API3 and UMA are building sealed-bid auctions for the right to execute oracle updates. MEV from the update is captured and returned to the dApp and its users.

  • Revenue Recapture: DApps can monetize their own oracle-driven MEV flow.
  • User Protection: Eliminates front-running, improving execution for end-users.
  • Integration Path: Requires oracle and dApp (e.g., a lending market like Aave) to adopt new standards.
>90%
Revenue Recaptured
Sealed-Bid
Auction Type
03

The New Stack: OEV-Specific Infrastructure

A new vertical of infrastructure is emerging, separate from general MEV-Boost relays. This includes specialized searchers, auction platforms, and secure execution layers.

  • Builder Opportunity: New firms will specialize in winning OEV auctions.
  • Investor Thesis: Back protocols that own critical data update rights (oracles) or that build the auction rails.
  • Risk: Centralization pressure on who controls the auction execution.
New Vertical
Infrastructure
Specialized
Searchers
04

The Endgame: Intent-Based Architectures Absorb OEV

Long-term, solving OEV dovetails with the shift to intent-based trading systems like UniswapX and CowSwap. Users submit desired outcomes, and solvers compete in a generalized auction that includes oracle updates.

  • Efficiency Gain: Bundles user intent fulfillment with necessary state updates.
  • Protocol Design: Future DEXs and lending markets will design for OEV capture from day one.
  • Convergence: The lines between MEV, OEV, and intent execution will blur.
Intent-Based
Future DEXs
Solver Networks
Key Players
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