Alternative block markets are secondary ecosystems where block builders and proposers compete to construct and sell blocks. The dominant example is MEV-Boost, which separates block building from block proposing on Ethereum. Instead of a validator building its own block, it receives a complete, pre-built block from a marketplace of builders who compete on price. This introduces new actors: searchers who identify profitable transaction opportunities, builders who aggregate these into optimal blocks, and relays that act as trusted intermediaries. Understanding this separation of roles is the first step in preparing your application.
How to Prepare for Alternative Block Markets
How to Prepare for Alternative Block Markets
Alternative block markets, such as MEV-Boost, MEV-Share, and private RPCs, are changing how transactions are processed and ordered. This guide explains the technical steps developers should take to adapt their applications for this evolving landscape.
To prepare, you must first decide on your transaction routing strategy. The default path sends a transaction to a public mempool, where it is visible to all builders and searchers. For sensitive transactions, you should use a private RPC endpoint like Flashbots Protect, BloxRoute's bloxroute.regulated, or Taichi Network. These services submit transactions directly to trusted builders, shielding them from frontrunning and sandwich attacks. For applications like DEX arbitrage bots, you may need to become a searcher yourself, using bundles to express complex, conditional transaction logic directly to builders via their APIs.
Your smart contract design must also account for these markets. Contracts that are vulnerable to Maximal Extractable Value (MEV)—such as those with predictable liquidity changes or price updates—become targets. Mitigations include using commit-reveal schemes, threshold encryption (e.g., with shutterized precompiles), or designing mechanisms that minimize value leakage. Furthermore, consider the finality implications. Transactions routed through private channels may have different latency and inclusion guarantees. Your application's user experience should handle scenarios where a transaction is not instantly visible on the public mempool.
Developers should integrate with services that provide visibility into the alternative market landscape. Use the MEV-Boost Relay Monitor to see which relays are active and their performance. For data analysis, tools like EigenPhi and Flashbots' mev-explore allow you to inspect sandwich attacks and bundle activity. Monitoring this data helps you audit your own transaction performance and understand the competitive environment. Setting up alerts for unusual gas price spikes or inclusion delays can be crucial for maintaining reliable application performance.
Finally, stay informed about protocol-level developments. Ethereum's PBS (Proposer-Builder Separation) roadmap aims to enshrine the separation of roles into the core protocol, which will solidify the market structure. New markets like MEV-Share experiment with sharing MEV profits with users. Adapting early to these trends involves participating in testnets, reviewing EIPs like EIP-4844 for data availability, and engaging with builder and relay documentation. Proactive preparation turns the complexity of alternative block markets from a risk into a strategic advantage for your application.
Prerequisites for Block Production Development
A guide to the technical and operational requirements for participating in alternative block production markets like MEV-Boost, EigenLayer, and other PBS systems.
Block production has evolved from a simple validator task into a specialized, competitive market. Modern networks like Ethereum separate the roles of block proposal and block building, creating opportunities for specialized actors. To participate, you need a foundation in consensus mechanisms, cryptographic key management, and network infrastructure. This guide outlines the prerequisites for developers and operators aiming to engage with systems such as MEV-Boost, EigenLayer's EigenDA, or Solana's Jito.
Your first prerequisite is a deep understanding of the target blockchain's consensus protocol. For Ethereum, this means mastering the Gasper (Casper FFG + LMD-GHOST) proof-of-stake mechanism, including attestation duties, fork choice rules, and slashing conditions. For other chains like Solana or Cosmos, you must understand their unique Proof of History or Tendermint BFT models. This knowledge is critical for building blocks that are valid, timely, and profitable, as incorrect proposals can lead to missed rewards or slashing penalties.
Next, you must establish robust operational infrastructure. This includes: a high-availability, low-latency node (e.g., Geth, Erigon, or a Solana validator client) with reliable internet connectivity; secure signer/key management systems, often using remote signers like Web3Signer to separate validator keys from the public-facing node; and monitoring and alerting stacks (Prometheus, Grafana) to track node health, proposal success rates, and MEV opportunities. Latency is a direct competitive disadvantage in block production.
From a software perspective, you need to integrate with the specific market's APIs. For Ethereum's MEV-Boost, this involves implementing the Builder API to receive block bundles from relays and the Relay API to submit bids. Familiarity with gRPC and REST endpoints is essential. You should also understand the data structures, such as ExecutionPayload and SignedBlindedBeaconBlock, and be proficient in a systems language like Go or Rust to build or customize your block production logic.
Finally, prepare for the economic and strategic layer. This involves securing sufficient stake (32 ETH for an Ethereum validator, or the requisite amount for other networks), understanding the block auction economics (priority fees, MEV extraction techniques like arbitrage or liquidations), and assessing risks like censorship resistance and regulatory compliance. Engaging with these markets requires continuous adaptation to new protocols like PBS (Proposer-Builder Separation) and the evolving landscape of encrypted mempools and suave-like systems.
How to Prepare for Alternative Block Markets
A guide for validators and builders on adapting to emerging block production models like MEV-Boost, PBS, and private order flow.
Modern block production has evolved beyond simple transaction ordering into a competitive market for block space value extraction. The dominant model, Proposer-Builder Separation (PBS), decouples the roles of the block proposer (validator) and block builder. Builders compete to create the most profitable block by including transactions, MEV (Maximal Extractable Value), and bundles, then bid for the right to have their block proposed. As a validator, you interact with this market through relays like the MEV-Boost middleware, which connects you to a network of builders. Preparing for this ecosystem requires understanding the technical setup, economic incentives, and security implications of outsourcing block construction.
Your primary preparation involves configuring your validator client to connect to MEV-Boost. This requires running the MEV-Boost software alongside your consensus and execution clients. You must then select which relays to use—trusted intermediaries that receive blocks from builders and forward the highest bid to you. Key relays include Flashbots, BloxRoute, and Titan. It's critical to choose relays based on censorship resistance (do they filter transactions?), uptime, and reputation. Your validator signs a blinded block header from the winning bid without seeing the full transaction list, relying on the relay's attestation that the block is valid.
Beyond basic setup, advanced preparation involves analyzing builder markets and order flow. Builders source profitability from private order flow (transactions sent directly to them), arbitrage, and liquidations. As a proposer, you can maximize your rewards by connecting to multiple relays to access a broader builder set. You should also monitor builder censorship and consider running your own block builder or relay for greater control and revenue capture. Understanding the data is key; tools like mevboost.pics and Relay Monitor provide transparency into bid distributions, top builders, and relay performance, allowing for informed strategy adjustments.
Security and regulatory considerations are paramount. When using MEV-Boost, you are delegating block construction, which introduces trust assumptions in the relay and builder. Ensure your relay connections are to the correct, signed endpoints to avoid man-in-the-middle attacks. Be aware of the regulatory landscape surrounding MEV extraction and order flow payment. In some jurisdictions, certain MEV strategies may carry compliance risks. Furthermore, the ecosystem is moving towards enshrined PBS at the protocol level, which would bake these separations into the consensus layer. Preparing now means building operational experience with the current outsourced model, which will inform your approach to future protocol upgrades.
Technical Comparison of Block Production Markets
Key technical and economic parameters for leading block production markets, including MEV-Boost, MEV-Share, and private order flow auctions.
| Feature / Metric | MEV-Boost (Ethereum) | MEV-Share (Flashbots) | Private Order Flow Auctions |
|---|---|---|---|
Block Builder Role | Centralized (Relays) | Centralized (Relays) | Decentralized (Auctioneer) |
Validator Integration | Out-of-band via relay list | Out-of-band via relay list | In-protocol or SDK |
Bid Finality Time | < 1 sec | 1-3 sec | 3-12 sec |
Privacy for User Txs | |||
MEV Redistribution | 0% to users | Up to 90% to users | Configurable, often >50% |
Typical Builder Fee | 0.1-0.3 ETH | 0.05-0.15 ETH | 0.02-0.08 ETH |
Censorship Resistance | Low (Relay-dependent) | Medium (Permissioned relays) | High (Permissionless) |
Protocol Maturity | Production (2022) | Beta (2023) | Research/Testnet |
Step 1: Infrastructure and Node Setup
Before exploring alternative block markets, you need a robust node infrastructure. This step covers the hardware, software, and network configuration required to participate.
The core of your infrastructure is a full node. This software client downloads, validates, and stores the entire blockchain. For Ethereum, this means running an execution client (like Geth or Nethermind) paired with a consensus client (like Lighthouse or Prysm). This setup allows you to independently verify transactions and blocks without trusting a third-party RPC provider. Running your own node is essential for submitting transactions directly to the network, a prerequisite for participating in block building.
Hardware requirements are significant. A performant setup typically needs: - A modern multi-core CPU (e.g., Intel i7 or AMD Ryzen 7) - At least 16GB of RAM (32GB recommended) - A fast NVMe SSD with 2TB+ of storage for the mainnet chain data - A stable, high-bandwidth internet connection. For Ethereum, syncing a node can take days, and insufficient resources will cause sync failures or missed attestations. Consider using a dedicated machine or a cloud VPS from providers like AWS, Google Cloud, or a specialized service like QuickNode for initial testing.
Configuration is critical for performance and security. You must open specific ports (e.g., TCP 30303 for Ethereum execution layer, UDP 9000 for consensus layer) on your firewall. Configure your client's JWT authentication for secure Engine API communication between the execution and consensus clients. Set up proper logging and monitoring (using tools like Grafana and Prometheus) to track node health, sync status, and peer count. A misconfigured node may not connect to the network or could be vulnerable to attacks.
For builders targeting alternative block markets like MEV-Boost, you need to run additional middleware. This includes an MEV-Boost relay, which receives block bids from searchers, and a builder client. The MEV-Boost software acts as a sidecar to your consensus client, allowing it to receive blocks built by external builders. You must configure your consensus client to point to your local MEV-Boost instance and connect to trusted relays (like the Ultra Sound, Agnostic, or Bloxroute relays) to access the competitive block market.
Finally, test your setup on a testnet before mainnet. Deploy your node configuration on Goerli, Sepolia, or Holesky. Use test ETH to practice proposing blocks and integrating with MEV-Boost. This sandbox environment lets you validate your infrastructure, automation scripts, and monitoring without financial risk. A stable, well-configured node is the non-negotiable foundation for all subsequent steps in capturing block rewards.
Step 2: Code Preparation and Customization
This section details the essential steps to prepare your smart contract code for deployment on alternative block markets, focusing on environment setup, dependency management, and configuration.
Before interacting with any alternative block market, you must first prepare your development environment. This involves installing the necessary tooling, such as Hardhat or Foundry for Ethereum Virtual Machine (EVM) chains, or the relevant SDKs for non-EVM ecosystems like Solana or Cosmos. Configure your project's hardhat.config.js or foundry.toml to include the RPC endpoints and chain IDs for your target networks. For example, to add the Arbitrum Sepolia testnet, you would add a network configuration specifying the RPC URL https://sepolia-rollup.arbitrum.io/rpc and chain ID 421614.
Next, audit and manage your smart contract dependencies. Use established libraries like OpenZeppelin Contracts for secure, audited base implementations of ERC-20 tokens or access control. Pin dependency versions in your package.json or remappings.txt to ensure reproducible builds. This is critical because different block markets may run slightly different EVM versions or precompiles; using well-tested libraries minimizes the risk of incompatibility. Always verify that any custom or forked libraries are compatible with your target chain's specific opcodes and gas costs.
Customization for alternative markets often involves adjusting gas parameters and economic constants. A contract deployed on a high-throughput, low-fee chain like Polygon may use different gas limits for functions than one destined for Ethereum Mainnet. Furthermore, you may need to customize contract addresses for critical infrastructure like Chainlink Oracles or decentralized exchange routers, as these have unique deployments on each chain. Hardcode these addresses into a configuration file or deploy script, or use a proxy pattern to make them upgradeable post-deployment.
Implement comprehensive testing tailored to the target environment. Beyond standard unit tests, write forking tests that simulate interactions using a forked version of the actual alternative chain's state. This can reveal integration issues with live protocols. For chains with unique features—such as Avalanche's subnets or Polygon zkEVM's different gas accounting—create specific test cases to validate your contract's behavior under those conditions. Tools like Hardhat Network allow you to fork any network for local testing.
Finally, prepare your deployment scripts. A robust script should handle sequential deployment, contract linking, and verification. Use environment variables (via a .env file) to store private keys and API keys for block explorers. Scripts should be idempotent and capable of deploying to multiple networks. For verification, integrate with services like Sourcify or the block explorer's API. A typical deployment step for a new market involves deploying the contract, initializing it with chain-specific parameters, and immediately verifying the source code to establish trust with users.
Essential Development and Operations Tools
Building on emerging chains requires specialized tooling for deployment, monitoring, and interoperability. This guide covers the essential infrastructure.
Step 3: Testing and Simulation Strategy
A robust testing and simulation strategy is critical for deploying applications in alternative block markets, where consensus models and execution environments differ significantly from Ethereum's EVM.
Before deploying to a live alternative chain, you must test your application's core logic under conditions that mimic the target environment. This goes beyond standard unit tests. You need to simulate the specific consensus mechanism (e.g., Solana's Proof of History, Avalanche's Snowman, Cosmos' Tendermint) and execution environment (e.g., SVM, MoveVM, CosmWasm). Use local testnets or dedicated devnets provided by the chain's foundation, such as Solana's localhost, Avalanche's Fuji, or Aptos' devnet. These environments allow you to test transaction finality, block times, and gas/fee mechanics without cost.
For smart contracts, employ chain-specific testing frameworks. On Solana, use the solana-program-test crate or Anchor's test suite to run programs in a simulated blockchain context. For Cosmos chains, simapp is essential for testing CosmWasm contracts within a simulated Tendermint consensus environment. On Sui and Aptos, leverage the Move Prover for formal verification and the official SDKs' testing modules. These tools let you validate state changes, access control, and cross-contract calls as they will occur on the mainnet.
Performance and load testing is non-negotiable. Alternative L1s often promise high throughput, but your application's design can become a bottleneck. Simulate high-volume scenarios: test concurrent user interactions, stress-test your indexer or RPC node connections, and benchmark transaction success rates under peak load. Monitor for chain-specific limits, such as Solana's compute unit budget per transaction or the maximum transaction size on Starknet. Tools like locust for HTTP load testing or custom scripts using the chain's RPC methods are necessary here.
Finally, integrate failure scenario simulation into your strategy. Test how your application behaves during network instability, validator downtime, or sudden fee spikes. For DeFi protocols, this includes simulating liquidations under volatile market conditions specific to the chain's oracle design. For cross-chain applications, test the failure modes of bridges and message layers. Documenting these scenarios and their expected handling creates a playbook for mainnet incidents, turning theoretical resilience into operational readiness.
Economic and Staking Requirements
Key economic parameters and staking mechanics for leading alternative data protocols.
| Requirement | Chainscore | Pyth Network | API3 |
|---|---|---|---|
Minimum Stake to Operate | 10,000 CSCORE | No minimum | 50,000 API3 |
Slashing for Downtime | |||
Staking Reward APR (Est.) | 12-18% | 7-10% | 15-22% |
Unbonding Period | 14 days | Instant | 30 days |
Data Fee Revenue Share | 80% to stakers | 70% to stakers | 90% to stakers |
Oracle Update Frequency | < 1 sec | 400 ms | 1-2 sec |
Governance Token Required | CSCORE | PYTH | API3 |
How to Prepare for Alternative Block Markets
This guide details the security and operational strategies required to safely engage with emerging block markets like Solana, Cosmos, and Avalanche, which operate on novel consensus mechanisms.
Alternative block markets, such as Solana (Proof-of-History), Cosmos (Tendermint BFT), and Avalanche (Snowman++), introduce unique security models that differ from Ethereum's EVM-centric world. Preparing for these ecosystems requires understanding their specific threat landscapes. Key considerations include validator client diversity, the security of light client bridges for cross-chain communication, and the nuances of slashing conditions for proof-of-stake networks. A foundational step is to audit the economic security of the network itself, evaluating the cost to attack relative to the total value secured (TVS).
Operational readiness hinges on robust key management and infrastructure hardening. For validator operations, use hardware security modules (HSMs) or multi-party computation (MPC) solutions instead of hot wallets. Implement strict access controls and monitoring for RPC nodes, as they are prime targets for spam and eclipse attacks. On Solana, for instance, configure transaction priority fees (computeUnitPrice) to ensure execution during network congestion. Regularly update client software (e.g., solana-validator, gaiad, avalanchego) and subscribe to security advisories from the core development teams.
Smart contract security must adapt to each environment. On Cosmos chains, thoroughly audit CosmWasm contracts, paying special attention to IBC packet handling and callback execution. For Solana programs, understand the constraints of the Sealevel runtime, including account ownership rules and the single global instruction limit. Utilize formal verification tools specific to each chain, such as the cargo-audit-equivalent for Rust crates or the Cosmos SDK's x/params module for governance-controlled upgrades. Always conduct test deployments on devnets and testnets that simulate mainnet conditions.
Develop a comprehensive incident response plan tailored to the chain's characteristics. This should include procedures for handling chain reorganizations (reorgs), which are more frequent and deeper in some high-throughput chains, and halting services during consensus failures. Monitor network health metrics like validator uptime, voting power concentration, and cross-chain bridge reserves. Establish clear communication channels with other ecosystem validators and foundations to coordinate during emergencies. Proactive participation in governance is also a security measure, allowing you to vote on critical parameter changes and upgrades.
Finally, integrate continuous security practices into your development lifecycle. Use automated scanning in CI/CD pipelines for dependencies and known vulnerabilities. For cross-chain applications, employ message verification and state proofs rather than trusting centralized relayers. Conduct regular, scenario-based training for your operations team on chain-specific failure modes. By institutionalizing these security and operational disciplines, your project can securely capitalize on the performance and innovation offered by alternative block markets.
Frequently Asked Questions
Common questions and technical clarifications for developers building on or interacting with emerging block markets like Solana, Sui, and Aptos.
An Alternative Block Market (ABM) refers to a high-performance blockchain designed for scalable decentralized applications, using a different execution and data availability model than Ethereum's EVM. The core architectural differences are significant:
- Execution Model: Platforms like Solana use a parallel execution engine (Sealevel), while Sui and Aptos use the Move language with a data-centric, object model. This contrasts with Ethereum's single-threaded EVM.
- Consensus & Throughput: ABMs often employ novel consensus mechanisms (e.g., Solana's Proof of History, AptosBFT) to achieve orders of magnitude higher throughput (50,000+ TPS) and lower finality (400ms-2s).
- Fee Markets: Transaction costs are typically lower and more predictable, often using a prioritization fee model instead of a pure gas auction, reducing frontrunning risks.
Developers must adapt to new toolchains, SDKs, and state management paradigms when building on these chains.
Official Documentation and Community Resources
Official documentation and active community channels are the fastest way to understand how alternative block markets operate in practice. These resources focus on off-orderbook trading, MEV-aware execution, and peer-to-peer liquidity that behaves differently from centralized exchanges.
Discord and Telegram Operator Communities
Many alternative block markets operate through permissioned or semi-private communities rather than open documentation alone.
Common community channels:
- Flashbots and MEV builder Discord servers
- Solver and market maker Telegram groups
- Validator operator communities sharing block-building insights
These channels provide operational knowledge that rarely appears in formal docs, such as relay reliability, fill behavior, and market maker expectations.
For developers deploying trading or execution systems, community access often determines whether integrations succeed in production. Participation usually requires technical credibility and adherence to community norms.