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# System prepended metadata

title: 'Flashbots Integration with  Stateless Relay: Technical Advancements in MEV Optimization'

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In the realm of Flashbots and the MEV ecosystem within Ethereum transactions, a set of intricate technical challenges demands innovative intervention. These challenges revolve around the computational intensity of traditional methods for verifying block states during reorganizations, privacy concerns inherent in MEV solutions, the rigidity of validation logic, potential vulnerabilities in transaction integrity, and the nuanced task of strategically positioning transactions for optimal profitability within the Flashbots framework.

By introducing stateless relays operating on top of our modified trin light client which now enables to consume  Zero-Knowledge Proofs (zkps), we aim to streamline the verification process, provide trustless sensors resistance, allowing efficient access to the last block state without requiring the entire state and  allowing parameterization of validation conditions. Additionally, our implementation of private relaying using zkps ensures a heightened level of transaction privacy, limiting access to authorized entities.

One crucial aspect of this proposal is to ensure that the hash of the previous block (parent hash) aligns with the expected or desired block hash when submitting a bundle. Stateless verification using zkps introduces a requirement that the parent hash matches the anticipated block hash, enhancing the security and reliability of blockchain transactions. Utilizing zkps for stateless verification adds a layer of security by aligning the parent hash with the expected block hash, addressing potential vulnerabilities in transaction integrity more effectively than conventional signature-based methods.
The relay can forthremore allow for parameterization of validation conditions. Searchers and miners can input specific parameters and rules when submitting bundles. For example, they might specify conditions related to gas prices, transaction ordering, or other MEV-related factors.

Stateless relays would operate on top of our stateless light client nodes with the capability to consume zkps. These stateless relays would have the privilege of accessing the last state of a block without the need to hold the entire state, which is particularly advantageous in scenarios involving block reorganizations (reorgs) and block validity. 


Our light client  handles zkp and is designed based on RLPX communication protocol to interact with Ethereum nodes using the Ethereum Node Discovery Protocol (Discv5) .this protocol allows peers to exchange zkp of recent state, allowing peers to verify account and storage data without having to download intermediate Merkle trie nodes. It aims to discover Ethereum nodes, send FINDNODE requests, and includes the ability to append Zero-Knowledge Proof (ZKP) messages to these requests.

Our code establishes connections with Ethereum nodes and sends FINDNODE requests to discover peers and  allows you to include ZKP messages in FINDNODE requests. ZKP messages can be retrieved from Helios nodes.

Our modified Trin light client now became a peer-to-peer network using the `discv5` crate for Ethereum Node Discovery.  We have defined a  `MessageType` enum for different message types, including `FindNodeRequest` and `ZkpMessage` (Zero-Knowledge Proof message)  The `send_findnode_request` function generates a FindNode request with a random request ID and specific distances. It then combines this request with a ZKP message and sends it to a specified node using RLPx communication. The `send_message` function encodes a message using RLP and simulates Discv5 communication by sending the encoded message.
For each connected node, a FindNode request with the ZKP message is sent asynchronously.

we have  implemented a loop that periodically sends FINDNODE requests to the connected nodes.adjusted the sleep duration to 10 milliseconds, by using the tokio library, we can  have  more fine-grained control over asynchronous tasks and timers.



In the next milestone we aim to configure  Our  light client  with Flashbots through local ENR setup, bootnodes, and request parameters. Because of our light client FINDNODE property ,  A relay operatingon our Light client  particularly will introduce  new opportunities for Flashbots.     - The main function undergoes refinement to accommodate Flashbots relay services within the list of connected nodes.
   - NodeRecord instances undergo meticulous adjustments to encapsulate the specific nuances of Flashbots relay node information.
   - The send_findnode_request function receives an extension, incorporating bespoke message formats tailored to Flashbots' requirements.

   - Flashbots-specific data is seamlessly integrated into the payload structure, encompassing transaction bundles enriched with explicit MEV instructions.
   - Asynchronous communication with Flashbots relay services is achieved through the refined Rust code, leveraging its capabilities for optimal performance.

   - The adapted code becomes a powerful tool for sending requests for transaction bundles to Flashbots nodes, with a keen focus on embedding MEV details crucial for strategic transaction selection.
   - This mechanism empowers users to selectively submit transactions to Flashbots, strategically positioning them for inclusion in specific blocks, thus optimizing the probability of favorable execution.

   - The system demonstrates an intelligent response-handling mechanism, efficiently managing Flashbots-specific responses. This includes a comprehensive analysis of success indicators, error scenarios, and additional instructions received from Flashbots relay services.
running the relay on stateless light clients, specifically enabling stateless relays, offers the potential for private relaying. While the term “private relay” in the context of Flashbots and other MEV providers may not imply complete privacy, it does mean that both the validator and Flashbots can access transaction contents. Searchers would generate zero-knowledge proofs (zkps) for the transactions within their bundles. The relay, operating on our stateless nodes, would then verify incoming bundles and the proof of the last state of the transactions, as well as validate the blocks received within the bundle. If all checks out, the relay can transmit the bundles to validator nodes. This approach reduces the need for resource-intensive measures employed by Flashbots while maintaining the trustworthiness of the system.
   - Searchers and miners can input specific parameters and rules during bundle submission. This dynamic validation, related to gas prices, transaction ordering, or other MEV factors, enhances customization and adaptability.

![Bildschirmfoto 2023-11-03 um 13.14.13.png](https://hackmd.io/_uploads/S16Z-SGQ6.png)


We can next extending  the send_findnode_request function to include a Flashbots-specific message or request format and Incorporate Flashbots-specific data in the payload, such as transaction bundles with MEV instructions.

We can Send requests for transaction bundles, including relevant MEV details, to Flashbots nodes.
Response Handling:

By adapting the light client for flashbt relay,  users can prioritize transactions based on Flashbots relay information. The system can selectively submit transactions to Flashbots for inclusion in specific blocks, optimizing the chances of favorable execution.

Notable usecases: 

The code can be employed to dynamically adjust MEV strategies based on real-time information from Flashbots. This includes adapting to changes in the Ethereum mempool and adjusting transaction parameters for maximum profitability. 

Notable Use Cases:

1. **Transaction Prioritization:**
   - Users harness the capability to meticulously prioritize transactions based on real-time insights gleaned from Flashbots relay information, thereby enhancing the likelihood of optimal execution.

2. **Dynamic MEV Strategies:**
   - The code's dynamic adaptability ensures MEV strategies remain responsive to real-time data from Flashbots. Users can proactively adjust their transaction parameters to align with evolving Ethereum mempool conditions, optimizing profitability.

3. **Custom Transaction Batching:**
   - The code's intelligent transaction batching empowers users to craft nuanced transaction groupings, strategically leveraging similarities or specific MEV opportunities for maximized impact.

Advantages:

1. **Optimized Profitability through Strategic Control:**
   - Users are afforded unprecedented control over transaction inclusion, strategically navigating MEV landscapes to optimize profitability through informed interactions with Flashbots relay services.

2. **Real-time Adaptability in MEV Strategies:**
   - Dynamic adjustments in MEV strategies empower users to stay agile in response to changing market conditions, ensuring optimal transaction outcomes in a dynamic Ethereum landscape.

3. **Tailored Transaction Submission for MEV Extraction:**
   - The code's ability to intelligently structure and submit transactions allows users to tailor their approach, maximizing the potential for effective MEV extraction in diverse scenarios.






