MEV Watch 2026: Tracking AI Front-Running and Relay Censorship

What MEV Watch Tracks Today

MEV Watch operates as a real-time transparency layer for Ethereum block production, focusing specifically on the behavior of MEV-Boost relays. Rather than analyzing transaction content, the dashboard monitors the flow of blocks to determine how much of the network is processed by relays that enforce compliance filters. This distinction is critical for understanding the current state of censorship in the MEV supply chain.

The primary metric tracked is the share of blocks produced by censoring relays versus non-censoring ones. By visualizing this ratio, MEV Watch provides observable data on how often validators adhere to OFAC-sanctioned address restrictions. This data allows market participants to assess the level of censorship resistance inherent in the current block production ecosystem.

In addition to censorship metrics, the tool tracks the broader landscape of MEV extraction methods, including AI-driven front-running and arbitrage opportunities. These activities represent significant value extraction events that can impact transaction ordering and network latency. Monitoring these patterns helps validators and builders understand the competitive pressure within the block construction process.

Understanding these metrics requires distinguishing between MEV extraction and relay censorship. While extraction focuses on profit optimization through transaction reordering, censorship involves the deliberate exclusion of specific transactions based on regulatory or policy criteria. MEV Watch separates these variables, offering a clear view of how censorship compliance affects the overall health and decentralization of Ethereum block production.

AI front-running vs traditional MEV

Traditional Maximal Extractable Value (MEV) relies on static rules and predictable patterns. Block builders typically scan the mempool for known opportunities like arbitrage or liquidations, executing them through pre-defined smart contract logic. This approach is transparent and often reactive, allowing network observers to anticipate the general flow of value extraction.

AI-driven strategies represent a shift from reactive rule-following to proactive prediction. Advanced models analyze transaction data in real-time to identify profitable sequences before human validators can react. These systems can construct complex sandwich attacks or predict market movements with higher precision, exploiting inefficiencies that static algorithms miss. The speed and adaptability of these AI models make them significantly harder to detect and counter using traditional monitoring tools.

AI-driven strategies represent a shift from reactive rule-following to proactive prediction, exploiting inefficiencies that static algorithms miss.

MEV Watch’s metrics are critical for detecting these high-speed, automated extractions. By tracking the behavior of AI-driven bots, analysts can distinguish between routine MEV activity and sophisticated, potentially manipulative front-running. This distinction is vital for maintaining the integrity of the network, as AI-driven extraction can disproportionately impact smaller traders and destabilize market fairness.

The table below highlights the key differences between traditional and AI-driven MEV strategies:

How MEV Watch Classifies Relay Censorship

MEV Watch categorizes MEV-Boost relays into two distinct groups: neutral and censoring. This classification relies on a single, observable metric: whether a relay filters transactions based on OFAC-sanctioned addresses or other compliance criteria. The dashboard tracks the daily block share produced by each category, providing a real-time view of how much of the Ethereum network is subject to transaction screening.

Relays labeled as "censoring" actively drop transactions linked to sanctioned entities. While this may satisfy regulatory requirements for certain operators, it introduces a centralization vector. Users interacting with these relays face the risk that their transactions will be silently rejected or delayed if they touch restricted addresses. In contrast, neutral relays forward all valid transactions regardless of origin, preserving the permissionless nature of the network.

The impact of this split is visible in the block production metrics. When the share of blocks from censoring relays rises, the effective decentralization of the network declines. MEV Watch provides the data to monitor these shifts, allowing builders and validators to make informed decisions about their relay configurations.

For a deeper understanding of the metrics and daily leaderboards, refer to the official MEV Watch dashboard. This tool is the primary source for tracking the current balance between neutral and censoring relay activity.

Using the Dashboard for Security

The MEV Watch dashboard offers a transparent view into the relay and block builder ecosystem, allowing users to verify transaction inclusion and assess network health. By monitoring real-time metrics, builders and validators can detect anomalies in block production that may indicate censorship or unfair front-running.

Verifying Transaction Inclusion

Users can track the status of their transactions through the dashboard’s inclusion metrics. If a transaction is significantly delayed or excluded from blocks despite adequate gas fees, it may signal relay-level censorship. Checking the mevwatch.info dashboard provides immediate visibility into which relays are accepting or dropping transactions, helping users identify reliable channels for submission.

Assessing Ecosystem Health

For builders and validators, the dashboard serves as a critical monitoring tool. Key metrics such as relay participation rates and block builder margins reveal the competitive landscape of the MEV-Boost ecosystem. A sudden drop in relay activity or a concentration of blocks among a few builders can indicate centralization risks or potential collusion, prompting necessary adjustments in operational strategy.

Detecting Censorship Patterns

Censorship often manifests as a pattern of excluded transactions from specific addresses or contract interactions. By analyzing historical data on the dashboard, users can identify if certain relays consistently ignore transactions from particular sources. This capability is essential for maintaining the neutrality of the network and ensuring that all users have equal access to block space.

Common Questions on MEV and Censorship

Maximal Extractable Value (MEV) refers to the maximum value that can be extracted from block production in excess of the standard block reward and gas fees ethereum.org. It arises when entities controlling transaction ordering, such as miners, validators, and builders, exploit that position for financial gain.

These questions highlight the core mechanics of MEV. Understanding these definitions is essential for analyzing the impact of AI-driven front-running and relay censorship in 2026.