In the blockchain industry, where the balance between decentralization and efficiency often teeters on a knife's edge, innovations that address these challenges are paramount. Among these innovations, preconfirmations stand out as a powerful tool designed to enhance transaction speed, security, and reliability. Here, we’ll delve into what preconfirmations (henceforth referred to as “preconfirms” ) are, why they matter, and how they’re set to transform the blockchain landscape.
The idea of providing a credible heads-up or confirmation that a transaction has occurred is deeply ingrained in our daily lives. Whether it's receiving an order confirmation from Amazon, verifying a credit card payment, or processing transactions in blockchain networks, this concept is familiar and widely used. In the blockchain world, centralized sequencers like those in Arbitrum function similarly, offering guarantees that your transaction will be included in the block.
However, these guarantees are not without limitations. True finality is only achieved when the transaction is settled on Ethereum. The reliance on centralized sequencers in Layer 2 (L2) networks, which are responsible for verifying, ordering, and batching transactions before they are committed to the main blockchain (Layer 1), presents significant challenges. They can become single points of failure, leading to increased risks of transaction censorship and bottlenecks in the process.
This is where preconfirms come into play. Preconfirms were introduced to address these challenges, providing a more secure and efficient way to ensure transaction integrity in decentralized networks.
Before jumping into the preconfirms trenches, let’s start by clarifying some key terms that will appear throughout this article (and are essential to the broader topic).
Builders: In the context of Ethereum and PBS, builders are responsible for selecting and ordering transactions in a block. This is a specialized role with the goal of creating blocks with the highest value for the proposer, and builders are also highly centralized entities. Blocks are submited to relays, which act as mediators between builders and proposers.
Proposers: The role of the proposer is to validate the contents of the most valuable block submitted by the block builders, and to propose this block to the network to be included as the new head of the blockchain. In this landscape, proposers are the validators in the Proof-of-Stake consensus protocol, and get rewarded for proposing blocks (a fee gets paid to the builder from the proposer as well).
Sequencers: Sequencers are akin to air traffic controllers, particularly within Layer 2 Rollup networks. They are responsible for coordinating and ordering transactions between the Rollup and the Layer 1 chain (such as Ethereum) for final settlement. Because they have exclusive rights to the ordering of transactions, they also benefit from transaction fees and MEV. Usually, they have ZK or optimistic security guarantees.
Now that we’ve set the stage, let’s dive into the concept of preconfirms.
At their core, preconfirms can provide two guarantees:
These two guarantees matter. Particularly for:
Speed: Traditional block confirmations can take several seconds, whereas preconfirms can provide a credible assurance much faster. This speed is particularly beneficial for "based rollups" that batch user transactions and commit them to Ethereum, resulting in faster transaction confirmations. @taikoxyz and @Spire_Labs are teams building based rollups.
Censorship Resistance: A proposer can request the inclusion of a transaction that some builders might not want to include.
Trading Use Cases: Traders may preconfirm transactions if it allows them to execute ahead of competitors.
Now, zooming in on Ethereum.
The following chart describes the overall Proposer-builder separation and transaction pipeline on Ethereum.
Within the Ethereum network, preconfirms can be implemented in three distinct scenarios, depending on the specific needs of the network:
Builder preconfirms suit the trading use case best. These offer low-latency guarantees and are effective in networks where a small number of builders dominate block-building. Builders can opt into proposer support, which enhances the strength of the guarantee.
However, the dominance of a few builders means that onboarding these few is key. However, since there are only a few dominant builders, successfully onboarding these players is key.
Proposers provide stronger inclusion guarantees than builders because they have the final say on which transactions are included in the block. This method is particularly useful for "based rollups," where Layer 1 validators act as sequencers.
Yet, maintaining strong guarantees are key challenges for proposer preconfirms.
The question of which solution will ultimately win remains uncertain, as multiple factors will play a crucial role in determining the outcome. We can speculate on the success of builder opt-ins for builder preconfirms, the growing traction of based rollups, and the effectiveness of proposer declaration implementations. The balance between user demand for inclusion versus execution guarantees will also be pivotal. Furthermore, the introduction of multiple concurrent proposers on the Ethereum roadmap could significantly impact the direction of transaction confirmation solutions. Ultimately, the interplay of these elements will shape the future landscape of blockchain transaction processing.
Commit-boost is a mev-boost like sidecar for preconfirms.
Commit-boost facilitates communication between builders and proposers, enhancing the preconfirmation process. It’s designed to replace the existing MEV-boost infrastructure, addressing performance issues and extending its capabilities to include preconfirms.
Currently in testnet, commit-boost is being developed by a non-ventured-backed neutral software for Ethereum with the ambition of fully integrating preconfirms into its framework. Chorus One is currently running commit-boost on Testnet.
Chorus One has been deeply involved with preconfirms from the very beginning, pioneering some of the first-ever preconfirms using Bolt during the ZuBerlin and Helder testnets. We’re fully immersed in optimizing the Proposer-Builder Separation (PBS) pipeline and are excited about the major developments currently unfolding in this space. Stay tuned for an upcoming special episode of the Chorus One Podcast, where we’ll dive more into this topic.
If you’re interested in learning more, feel free to reach out to us at research@chorus.one.
About Chorus One
Chorus One is one of the largest institutional staking providers globally, operating infrastructure for over 60 Proof-of-Stake (PoS) networks, including Ethereum, Cosmos, Solana, Avalanche, Near, and others. Since 2018, we have been at the forefront of the PoS industry, offering easy-to-use, enterprise-grade staking solutions, conducting industry-leading research, and investing in innovative protocols through Chorus One Ventures. As an ISO 27001 certified provider, Chorus One also offers slashing and double-signing insurance to its institutional clients. For more information, visit chorus.one or follow us on LinkedIn, X (formerly Twitter), and Telegram.
This is a joint research article written by Chorus One and Superscrypt
Blockchain transactions are public and viewable even before they get written to the block. This has led to maximal extractable value (‘MEV’), i.e. where actors frontrun and backrun visible transactions to extract profit for themselves.
The MEV space is constantly evolving as competition intensifies and new avenues to extract value are always emerging. In this article we explore one such avenue - Oracle Extractable Value, where MEV can be extracted even before transactions hit the mempool.
This is particularly relevant for borrowing & lending protocols which rely on data feeds from oracles to make decisions on whether to liquidate positions or not. Read on to find out more.
Value is in a constant state of being created, destroyed, won or lost in any financialized system, and blockchains are no exception. User transactions are not isolated to their surroundings, but instead embedded within complex interactions that determine their final payoff.
Not all transaction costs are as explicit as gas fees. Fundamentally, the total value that can be captured from a transaction includes the payoff of downstream trades preceding or succeeding it. These can be benign in nature, for example, an arbitrage transaction to bring prices back in line with the market, or impose hidden taxes in the case of front running. Overall, maximal extractable value (or “MEV”) is the value that can be captured from strategically including and ordering transactions such that the aggregate block value is maximized.
If not extracted or monetized, value is simply lost. Presently, the actualization of MEV on Ethereum reflects a complex supply chain (“PBS”) where several actors such as wallets, searchers, block builders and validators fill specialized roles. There are returns on sophistication for all participants in this value chain, most explicitly for builders which are tasked with creating optimal blocks. Validators can play sophisticated timing games which result in additional MEV capture; for example, Chorus One has run an advanced timing games setup since early 2023, and published extensively on it. In the PBS context, the best proxy for the total MEV extracted is the final bid a builder gets to submit during the block auction.
Such returns on sophistication extend to the concept of Oracle Extractable Value (OEV), which is a type of MEV that has historically gone uncaptured by protocols. This article will explain OEV, and how it can be best captured.
Oracles are one of crypto's critical infrastructure components: they are the choreographers that orchestrate and synchronize the off-chain world with the blockchain’s immutable ledger. Their influence is immense: they inform all the prices you see and interact with on-chain. Markets are constantly changing, and protocols and applications rely on secure oracle feed updates to provide DeFi services to millions of crypto users worldwide.
The current status-quo is that third-party oracle networks serve as intermediaries that feed external data to smart contracts. They operate separately from the blockchains they serve, which maintains the core goal of chain consensus but introduces some limitations, including concepts such as fair sequencing, required payments from protocols and apps, and multiple sources of data in a decentralized world.
In practical terms, the data from oracles represents a great resource for value extraction. The market shift an oracle price update causes can be anticipated and traded profitably, by back-running any resulting arbitrage opportunities or (more prominently) by capturing resulting liquidations. This is Oracle Extractable Value. But how is it captured, and more importantly, who profits from it?
In MEV, searchers (which are essentially trading bots that run on-chain) profit from oracle updates by backrunning them in a free-for-all priority gas auction. Value is distributed between the searchers, who find opportunities particularly in the lending markets for liquidations, and the block proposers that include their prices in the ledger. Oracles themselves have not historically been a part of this equation.
OEV changes this flow by atomically coupling the backrun trade with the oracle update. This allows the oracle to capture value, by either acting as the searcher itself or auctioning off the extraction rights.
How OEV created in DeFi can be captured by MEV searchers before the dApp gets access to it.
OEV primarily impacts lending markets, where liquidations directly result from oracle updates. By bundling an oracle update with a liquidation transaction, the value capture becomes exclusive, preventing front-running since both actions are combined into a single atomic event. However, arbitrage can still occur before the oracle update through statistical methods, as traders act on the true price seen in other markets
UMA and Oval:
API3 and OEV Network:
Warlock
The upshot of this MEV capture is that oracles have a new dimension to compete on. OEV revenue can be shared with dApps by providing oracle updates free of charge, or by outright subsidizing integrations. Ultimately, protocols with OEV integration will thus be able to bid more competitively for users.
OEV solutions share the same basic idea - shifting the value extraction from oracle updates to the oracle layer, by coupling the price feed update with backrun searcher transactions.
There are several ways of approaching this - an OEV solution may integrate with an existing oracle via an official integration, or through third party infrastructure. These solutions may also be purpose built and provide their own price update.
Heuristically, the key components of an OEV solution are the oracle update and the MEV transaction - these can be either centralized or decentralized.
We would expect purpose-built or “official” extensions to existing oracles to perform better due to less latency versus what would be required to run third party logic in addition to the upstream oracle. Additionally, these would be much more attractive from a risk perspective, as in the case of third party infrastructure, updates could break undesired integrations spontaneously.
The practical case is that a centralized auction can make most sense in latency-sensitive use cases. For example, it may allow a protocol to offer more leverage, as the risk of stranding with bad debt due stale price updates is minimized. By contract, a decentralized auction likely yields the highest aggregate value in use cases where latency is not as sensitive, i.e. where margin requirements are higher.
OEV is still in its early stages, with much development ahead. We're excited to see how this space evolves and will continue to monitor its progress closely as new opportunities and innovations emerge.
About Chorus One
Chorus One is one of the largest institutional staking providers globally, operating infrastructure for over 60 Proof-of-Stake (PoS) networks, including Ethereum, Cosmos, Solana, Avalanche, Near, and others. Since 2018, we have been at the forefront of the PoS industry, offering easy-to-use, enterprise-grade staking solutions, conducting industry-leading research, and investing in innovative protocols through Chorus One Ventures. As an ISO 27001 certified provider, Chorus One also offers slashing and double-signing insurance to its institutional clients. For more information, visit chorus.one or follow us on LinkedIn, X (formerly Twitter), and Telegram.
We're thrilled to partner with Hex Trust, a leading licensed digital asset custodian. This collaboration combines Chorus One's institutional-grade staking infrastructure with Hex Trust's robust custody services, enhancing Hex Trust's offerings and providing more clients with advanced staking solutions.
"Chorus One is excited to collaborate with Hex Trust to expand staking services. This partnership aligns perfectly with our commitment to making staking accessible, secure, and fully compliant for institutional clients." — Brian Crain, CEO of Chorus One
Chorus One has maintained a proven track record as a leader in institutional-grade staking. With the largest network support in the industry and an ISO 27001:2022 certification, we are well-positioned to support Hex Trust in delivering high-quality staking services to its clients. This partnership combines an APAC-based licensed custodian with a leading staking provider to deliver compliant and secure staking options across the region.
Staking in Proof-of-Stake (PoS) blockchains presents a compelling opportunity for institutions like Hex Trust. It provides a secure and predictable way to generate rewards, leveraging the native token inflation and transaction fees of the blockchain. This results in a consistent revenue stream that is less volatile than traditional crypto trading.
Moreover, by participating in staking, institutions not only earn rewards but also contribute to the overall security and governance of the network. This active involvement helps strengthen the network's reliability and promotes the long-term growth of the Web3 ecosystem, aligning with the broader goals of financial innovation and digital asset adoption.
Established in 2018, Hex Trust is a fully licensed digital asset custodian dedicated to providing comprehensive services for protocols, foundations, financial institutions, and the Web3 ecosystem. Hex Trust offers a suite of services including custody, DeFi, brokerage, and more, all built on a regulated infrastructure. For more information, visit hextrust.com or follow Hex Trust on LinkedIn, X (formerly Twitter), and Telegram.
Hex Trust Disclaimer: Products or services mentioned in this material are subject to legal and regulatory requirements in applicable jurisdictions and may not be available in all jurisdictions.
Chorus One is one of the largest institutional staking providers globally, operating infrastructure for over 60 Proof-of-Stake (PoS) networks, including Ethereum, Cosmos, Solana, Avalanche, Near, and others. Since 2018, we have been at the forefront of the PoS industry, offering easy-to-use, enterprise-grade staking solutions, conducting industry-leading research, and investing in innovative protocols through Chorus One Ventures. As an ISO 27001 certified provider, Chorus One also offers slashing and double-signing insurance to its institutional clients. For more information, visit chorus.one or follow us on LinkedIn, X (formerly Twitter), and Telegram.
This partnership marks a significant step in our shared mission to make staking more accessible and secure for institutional clients. We look forward to the continued growth and success of this collaboration.
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There are many aspects to validator performance on Solana, and different metrics are important to different people. For users of the Solana network, throughput (transactions per second) and latency (how quickly a transaction lands) are key metrics. In this article we’ll dive into two factors that affect those: skip rate and block size. We’ll explain how Chorus One is able to outperform both network average and the superminority on these metrics. If all validators performed as well as Chorus One on these metrics, Solana would be able to process 11.4% more transactions per second.
As a Solana user, when you submit a transaction, you want it to be included in the chain as quickly as possible, as cheaply as possible. When the chain can process only a limited amount of transactions per second, that means that only users who are willing to pay high priority fees can get their transaction included. When the chain can process more transactions per second, transaction processing capacity becomes less scarce, and transaction fees go down. Solana’s throughput is determined by the validators that make up the network, so for good network performance, it is important to delegate to a validator that performs well.
For this article we look at the month of July 2024. All metrics are reported over the period from midnight July 1st until midnight August 1st in the UTC time zone. (Slot 274965076 until 280826904, for those who want to reproduce our findings.)
In this article we contrast Chorus One against two groups of validators: the entire network (including Chorus One), and the superminority. The superminority is the smallest set of validators that together control more than one third of the stake. We use the superminority from epoch 650, the final epoch in July. It consists of the top 19 validators by stake.
In the Solana network, validators periodically have a duty to produce blocks. Before the start of the epoch, the protocol sets the leader schedule, which determines when every validator has to produce a block. Validators with more stake get assigned more blocks to produce.
If all goes well, when a validator’s turn comes to be the leader, the validator produces a block. The chain grows by one block, and users’ transactions get included. When things don’t go well, the leader fails to produce a block, or the block may not be accepted by the other validators. When the leader fails to extend the chain, this is called a skip, and the fraction of blocks skipped out of blocks assigned in some period of time is called the skip rate. Skips are bad for users of the network, because during a skip, no transactions get processed. Skips lower the throughput of the chain, and delay when transactions get processed. A lower skip rate is therefore better.
A validator can skip for multiple reasons. Of course a validator that is offline will be unable to produce a block, but even when it is online and produces a block, that can still result in a skip. For example, the validator could have been slightly late, and the network has already moved on, assuming the validator skipped its duty. Many of the factors that affect skip rate are directly or indirectly under the validator’s control, but some amount of skipping is inevitable in a decentralized network. During times of high activity, skip rate is generally higher network-wide than during quiet periods. Therefore, the skip rate is not meaningful in isolation, but comparing skip rate between validators is one way to judge their performance.
Over July 2024, Chorus One achieved a skip rate of 2.03%, while the network-wide skip rate was 5.19%. This means that average Solana validators fail to produce their blocks more than 2.5 times as often as Chorus One.
Maybe network average is not a fair comparison though? It may be the case that a few bad validators are pulling up the average. So let’s look at the superminority, the top validators by stake. This relatively small set of validators has the responsibility to produce one third of the blocks, so its influence on the chain’s throughput is large. Over July 2024, the superminority together achieved a skip rate of 5.68%, which is even worse than network average. Superminority validators fail to produce their blocks almost 3× as often as Chorus One.
The Solana network is effectively leaving 3.3% of its blocks on the table by keeping stake delegated to validators with high skip rates.
Aside from skip rate, a major factor for throughput is the number of transactions that every block contains. When blocks can fit more transactions, the throughput of the chain goes up. When validators are able to build larger blocks, fewer user transactions have to be postponed to the next block, so latency goes down. Furthermore, more capacity means lower transaction costs.
Over July 2024, blocks produced by Chorus One contained on average 1696.2 transactions. (This includes vote transactions that contribute to Solana’s consensus mechanism.) The network-wide average over this period was a mere 1573.3 per block. This means that Chorus One includes 7.8% more transactions per block than average validators.
Again, let’s compare this to the validators with the greatest responsibility and disproportionate impact on chain-wide throughput: the superminority. Here we see that with 1640.6 transactions per block, the superminority does outperform the network average, but nonetheless Chorus One outperforms the superminority by 3.4%.
This means that the Solana network is effectively leaving a 7.8% throughput boost on the table, by keeping stake delegated to low-performing validators. This number is only for produced blocks, we don’t count skips as zero transactions per block. This means that the 7.8% boost would come on top of the 3.3% skip rate boost. Combined, this means that Chorus One achieves 11.4% more transactions per second than average validators.
Why is Chorus One able to process 11.4% more transactions per second than other validators? As is often the case with performance optimization, there is no single trick, but if you stack enough small optimizations, the combined result can be substantial. A few of the techniques we use:
In this article we highlighted two key Solana performance metrics that matter for users of the network: skip rate and block size. Lower skip rates and larger block sizes mean that users can get their transactions included faster and for a lower fee. These two metrics contribute to how many transactions per second Solana can process. Through multiple optimizations and operational practices, Chorus One achieves 11.4% more transactions per second than the network average. If all delegators would delegate to validators who perform as well as Chorus One, Solana would be able to process 11.4% more transactions per second.
About Chorus One
Chorus One is a leading institutional staking provider, securing over $3 billion in assets across 60+ Proof-of-Stake networks. Since 2018, Chorus One has been a trusted partner for institutions, offering enterprise-grade solutions, industry-leading research, and investments in cutting-edge protocols.
