On July 8, 2026, the BNB Chain development team launched a new chip capable of rewriting trading rules: they are building a brand new Layer 1 designed specifically for smart trading agents (Agentic Trading). The ambition of this chain is reflected in its parameters — aiming for transaction delays of less than 50 milliseconds, processing capacity of about 100,000 TPS, while eliminating the public memory pool on an architectural level and introducing a mechanism called TxStream to suppress MEV attacks and various forms of front-running. The official announcement almost directly states that it aims to create a millisecond confirmation, high-throughput execution environment for autonomous trading agents and "fundamentally eliminate" the MEV front-running risks that traditional public chains have often been criticized for. The testnet is planned to go live in the second half of 2026, with the mainnet expected to join the existing BNB Beacon Chain and BNB Smart Chain in 2027, becoming the third concurrently running Layer 1. This signifies that the BNB ecosystem is withdrawing from the narrative of general public chains and betting on a dedicated trading chain to respond to the increasingly intense controversies over MEV and sandwich attacks seen in Ethereum and BNB Smart Chain in recent years.
The Old Era of Sandwich Attacks: The Scars of BNB Traders
In recent years, the controversy surrounding MEV on Ethereum and BNB Smart Chain has almost become a collective memory for every on-chain trader. The moment a user clicks to confirm does not mean the transaction has "settled"; it merely enters the queue in the public memory pool: during the window from submission to on-chain confirmation, professional searchers and high-frequency bots will scour the entire mempool, analyzing price slippage, path selection, and fee settings, then by front-running, jumping the queue, or even reordering transactions, they insert their orders in front of and behind the user's, completing a standard sandwich attack. The result is that ordinary BNB traders often find out seconds later that despite having pushed the price, they are bitten back by worse execution prices and higher costs. Such scars have been repeatedly mentioned in community discussions.
The design of the public memory pool exposes all transactions waiting to be packed before confirmation to the public, which was intended to improve transparency but also leaves ample room for searchers to front-run. For smart trading agents that rely on millisecond responses, the hostility of the environment is even more apparent: no matter how sophisticated the strategy, as long as an order enters the mempool, it is likely to be observed, replicated, or even counter-traded, making it difficult for agents to lock in expected price differences for users, and many complex strategies have already "leaked their secrets" before going on-chain. It is in this long-term imbalanced execution environment that BNB officials proposed to fundamentally eliminate MEV front-running risks through the new chain, while some developers simply view "canceling the public memory pool" as the only sufficiently radical option, believing this is a counterattack to reclaim trading fairness from the protocol rule level.
Eliminating the Public Memory Pool: How BNB's New Chain Blocks Front-running
On this new chain tailored for agents, the BNB team chose to remove the traditional public memory pool directly from the architecture, replacing it with a streaming transaction submission mechanism called TxStream. Simply put, transactions will no longer first enter a "waiting area" that anyone can observe and listen to; instead, they will be continuously sent into the execution sequence along a pipeline preset by the protocol. The officials claim this is to suppress MEV attacks at the chain level and "fundamentally eliminate MEV front-running risks." For searchers who were used to lurking in the memory pool, this means the window for seeing user transactions and jumping the queue has been closed; for market makers and autonomous trading agents, it feels more like an exclusive racetrack, with strategies pushed directly to the execution layer instead of first being exposed in a public glass showcase to all opponents.
Shifting from an open memory pool to streaming submission has quietly shifted the focus of transaction games to the issues of "who controls the TxStream entrance" and "how the protocol schedules the stream." Canceling the public memory pool makes information less prone to abuse and compresses the space for sandwich attacks and obvious front-running, but at the same time, itweakens on-chain observability — external auditors find it difficult to reconstruct when each transaction enters the system and how it is ordered, which concerns some developers that "anti-front-running" may evolve into "black box scheduling." The officials have yet to disclose the details of how TxStream will work with the consensus mechanism, and under the performance goal of achieving delays below 50 milliseconds and approximately 100,000 TPS, whether this design can fulfill the promise of fairness without sacrificing transparency has become the most critical technical and governance controversy surrounding the new chain.
Millisecond Confirmation and 100,000 TPS: Paving the Way for Agents
For autonomous trading agents, "the chain" is primarily an execution engine: the ability of a strategy to execute correctly depends on latency, throughput, and the predictability of results. They often adjust quotes, cancel orders, and move positions across markets multiple times in a very short period. If a transaction queues on the chain for too long or has an uncontrollable confirmation time, the entire decision tree can become distorted, and stop-losses, arbitrage, and hedging may have to deviate from preset paths. The officials have now explicitly stated their goal of "millisecond confirmation," hoping to push the delay of individual transactions to below 50 milliseconds and increase the processing capacity to approximately 100,000 transactions per second. In official statements, this combination is regarded as a significant performance leap below the general level of traditional public chains, aiming to allow agents to iterate at high frequency on-chain according to a predetermined rhythm instead of being dragged down by congestion and uncertainty.
This positioning also explains why it is to appear as the third parallel Layer 1 in the BNB ecosystem. The existing BNB Beacon Chain and BNB Smart Chain support more general account management and application scenarios, where most contracts and user interactions compete for block space in the same resource pool, requiring a balance between latency and throughput based on broader needs. The new chain directly extracts high-frequency, low-latency trading agent scenarios, creating a dedicated execution environment centered around time sensitivity. The officials emphasize the need to provide such agents with millisecond-level confirmation and high throughput, which means that in the future, a "fast lane" specifically serving strategy execution will emerge within the BNB ecosystem, forming a clear division of labor with the main chain where general applications reside, rather than continuing to compete for resources on the same crowded track.
Parallel Third Main Chain: Role Reassignment in the BNB Ecosystem
To understand the role this dedicated chain for agents will play, we should first clarify the existing landscape: the BNB Beacon Chain functions more like a "backend hub," handling governance, asset management, and other functions, serving as the rights and account ledger layer of the entire ecosystem; the BNB Smart Chain, on the other hand, is the front-end "main stage," bearing most of today's on-chain financial and general applications and serving as the execution environment for user and contract interactions. This new chain is clearly defined as the third concurrently running Layer 1, neither taking over the governance of Beacon nor replacing the general execution of BSC, but existing alongside both, specifically providing millisecond confirmation and high throughput execution paths for smart trading agents.
In a multi-chain parallel structure, an intuitive notion is that applications may begin to layer by function: governance and asset custody continue to reside on Beacon, lending, exchanges, and other general DeFi applications remain primarily on BSC, while time-sensitive strategic applications and agents migrate their key trading paths to the new chain, and then communicate back to the main ecosystem through cross-chain communication. Developers may reconstruct architecture around this logic, leaving the “decision logic” in the familiar BSC and handing over “execution” tasks to the new chain. However, it needs to be emphasized that these discussions around application division and migration paths are still in the early conceptual phase. Before the details of cross-chain solutions and migration tools are disclosed, the specific reassignment of roles within the BNB ecosystem remains an open proposition that is still forming.
Roadmap and Pending Issues: What is Missing from This Chain
From the publicly available technical roadmap, this smart trading chain has currently only completed the "paper blueprint" stage: the architecture design is finished, but it remains in the development and implementation phase. The timeline is also clearly laid out — the testnet is planned to go live in the second half of 2026 to verify whether the combination of below 50 milliseconds delay, about 100,000 TPS, and the TxStream mechanism can indeed function under real load; the mainnet is scheduled for 2027, meaning that in the coming year, what the external world sees will be a continuously iterating experimental environment, rather than a final form that can directly migrate funds and strategies.
However, the gaps beyond the roadmap also constitute the core suspense surrounding this chain. Current official information does not clarify whether it will directly use BNB as Gas or issue a new token; the consensus mechanism, node hardware thresholds, and the specific architecture of cross-chain communication have yet to be disclosed, and there are no verifiable details regarding team composition, potential external partners, or regulatory progress. These gaps can only be treated as variables that require ongoing observation: how the token and fee model will rewrite the adoption difficulty within and out of the BNB ecosystem, what ecological competition this new chain will face in the smart trading space, and how this kind of "high-speed trading infrastructure" will be defined under different regulatory environments, will determine whether this chain becomes a core infrastructure within the BNB ecosystem or continues to be marginalized by more mature public chains.
From the Battlefield of Front-running to the Main Stage for Agents: Is This Bet Worth It?
Pulling back the focus to this chain itself, the commitment made by the BNB team is actually quite clear: to build an execution environment for agents with almost no front-running space, with confirmation under 50 milliseconds and throughput of about 100,000 TPS, supplemented by the cancellation of the public memory pool and mechanisms like TxStream, attempting to structurally address the increasingly serious MEV issues seen in Ethereum and BNB Smart Chain in recent years from an architectural level. This bet clearly reinforces the narrative of "high-performance trading infrastructure" within the BNB story, but it also ties the next phase of the ecosystem's growth more closely to a new paradigm that has yet to be validated by a testnet: if the testnet does indeed run out stable delays and throughput in the second half of 2026 and receives positive feedback from developers regarding strategy design and debugging experience, along with the gradual disclosure of token economic models, consensus, and cross-chain solutions, then this specialized agent chain will have the opportunity to become the third real pillar of the BNB ecosystem. Otherwise, it could likely become just an expensive and perhaps unsuccessful narrative extension.
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