“Decentralized sequencing” currently refers to different things across the ecosystem, ranging from a small set of foundation-operated nodes to fully permissionless networks. Without a clear framework to distinguish between these designs, the ecosystem risks making important decisions based on claims rather than architecture.
Today, Nethermind Research is releasing a comprehensive framework (developed in collaboration with L2BEAT) that establishes clear criteria so builders, users, and institutions can evaluate sequencer designs based on what they actually deliver.
Most rollups today rely on centralized sequencers. These sequencers are single entities responsible for ordering transactions, submitting state updates to Ethereum, and maintaining rollups' day-to-day operations. While user funds remain secure through Layer 1 enforcement, centralized sequencers can:
Escape hatches exist, but they are costly safeguards rather than practical alternatives for normal use.
There is also a regulatory dimension. SEC Commissioner Hester Peirce has warned that rollups with centralized sequencers may be treated as securities exchanges, which could introduce registration requirements and limit permissionless access.
Centralization is not only a technical choice. It affects the long-term viability of rollups as open, neutral infrastructure.
Projects use the term “decentralized sequencing” to describe a wide range of designs. Some begin with a small set of operators, while others use permissionless networks or rotating committees. These approaches sit at different points on the decentralization spectrum, but without a shared framework, they are difficult to compare.
Each approach introduces different trust assumptions. The Layer 1 protects user funds, but properties like liveness, censorship resistance, and ordering fairness depend on the sequencing architecture itself. A decentralization roadmap can outline intent, but the guarantees available today come from the design that is currently deployed.
A well-designed decentralized sequencer should provide:
Our framework evaluates sequencer decentralization across four critical dimensions, with each scored as Low Risk (🟢), Medium Risk (🟡), or High Risk (🔴):
We applied the framework to several prominent rollup designs to show how different architectural choices shape sequencing decentralization. Each ecosystem emphasizes certain properties while accepting trade-offs in others.
The goal is not to rank projects. It is to provide a consistent way to understand how sequencing designs differ. Some systems prioritize credible neutrality by aligning closely with Ethereum Layer 1. Others emphasize permissionless participation or focus on high-performance protocols that offer fast confirmations. Hybrid approaches combine elements of both, such as using based sequencing with optional preconfirmations.
The full technical report includes project-by-project evaluations for Starknet, Aztec, Taiko, and Surge, along with an analysis of their architectural choices and decentralization roadmaps.
Three design choices determine how decentralized a sequencer network can be.
These components cannot be evaluated in isolation. A permissionless network with weak fault tolerance may offer fewer guarantees than a smaller committee with robust BFT recovery.
Different teams will prioritize decentralization properties differently. This framework provides builders, developers, and stakeholders with a clearer understanding of those trade-offs. It enables them to evaluate where a design stands today in relation to its longer-term roadmap.
A key insight from the report is how economic security shapes the trustworthiness of preconfirmations. The framework measures this by comparing the Total Slashable Stake (TSS) to the Total Value Secured (TVS) in the rollup.
Across the examples we studied, a clear pattern emerges:
This gives teams a practical benchmark for assessing whether a sequencer set is secure today, not just in theory.
The full report offers a more in-depth examination of this methodology, including case studies that demonstrate how different rollups perform under the TSS–TVS model. We invite the community to explore the details and apply the framework to emerging sequencer designs.
Decentralized sequencing is not a single model. It spans a range of architectures, each with distinct strengths and trade-offs. This framework provides a structured approach to evaluating those differences and bringing clarity to an area where terminology often obscures meaningful differences. As rollups continue to evolve, we hope this contributes to clearer standards and more robust designs for decentralized sequencing.
This framework is a collaboration between Nethermind Research and L2BEAT, building on L2BEAT’s established risk assessment methodologies including the Stages Framework, the Risk Rosette, and domain-specific frameworks for data availability and trusted setups.