Monad RPC: Parallel EVM Execution and Sub-Second Finality

Monad launched its public mainnet in November 2025 as one of the most anticipated EVM-compatible Layer 1 blockchains. With claims of 10,000 TPS, sub-second block times, and full bytecode compatibility with Ethereum, Monad positions itself as the high-performance alternative for developers who want Ethereum's tooling without Ethereum's throughput limitations.

What Monad actually is

Monad is a Layer 1 blockchain that is fully EVM-compatible while introducing parallel execution and a pipelined BFT consensus mechanism. Unlike most high-throughput chains that require you to rewrite contracts in a new language, Monad lets you deploy existing Solidity contracts without modification.

Key specs:

• Chain ID: 143 (0x8F)
• Block time: Sub-second
• Finality: ~0.8 seconds
• Gas token: MON (18 decimals)
• Consensus: MonadBFT (pipelined BFT derived from HotStuff)
• Execution: Parallel transaction execution
• EVM compatibility: Full bytecode compatibility

The architecture combines three core innovations:

1. MonadBFT: A pipelined consensus mechanism derived from the HotStuff BFT family. It separates block proposal from voting, allowing the network to process blocks more efficiently while maintaining Byzantine fault tolerance.

2. Parallel execution: Unlike Ethereum's sequential execution model, Monad can execute multiple transactions in parallel when they don't conflict. This is similar to what Solana does, but Monad achieves it while maintaining full EVM compatibility.

3. MonadDb: An optimized state database designed for high-throughput workloads. Traditional EVM chains use Merkle Patricia Tries, which become a bottleneck at scale. MonadDb is built from the ground up to handle parallel execution efficiently.

The RPC: Standard Ethereum JSON-RPC

Because Monad is bytecode-compatible with the EVM, it exposes the standard Ethereum JSON-RPC interface. If you've built against Ethereum, you already know how to query Monad.

# Chain ID
curl -s -X POST https://rpc.swiftnodes.io/rpc/monad?key=YOUR_API_KEY \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"eth_chainId","params":[],"id":1}'
# -> {"jsonrpc":"2.0","id":1,"result":"0x8f"}

# Latest block
curl -s -X POST https://rpc.swiftnodes.io/rpc/monad?key=YOUR_API_KEY \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"eth_blockNumber","params":[],"id":1}'
# -> {"jsonrpc":"2.0","id":1,"result":"0x62b9e6e"}  # ~103M

The core methods work as expected:

Gas fees and block structure

Monad's gas fees are consistently low, typically under 1 gwei for standard transactions. The sub-second block times mean transactions confirm quickly, and the ~0.8-second finality is faster than most L2s.

# Gas price
curl -s -X POST https://rpc.swiftnodes.io/rpc/monad?key=YOUR_API_KEY \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"eth_gasPrice","params":[],"id":1}'
# -> {"jsonrpc":"2.0","id":1,"result":"0x3b9aca00"}  # 1 gwei

# Block with transactions
curl -s -X POST https://rpc.swiftnodes.io/rpc/monad?key=YOUR_API_KEY \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"eth_getBlockByNumber","params":["latest",false],"id":1}'
# -> {"jsonrpc":"2.0","id":1,"result":{"number":"0x62b9e6e","timestamp":"0x6a9bafb3","transactions":[...]}}

Blocks contain hundreds of transactions, and the parallel execution engine can process them more efficiently than sequential execution. For developers, this means lower fees and faster confirmations without changing how you write contracts.

What makes Monad different from other EVM chains

Monad is often compared to other high-performance EVM chains, but its approach is unique:

• Ethereum uses sequential execution and has 12-second blocks. Monad maintains EVM compatibility but adds parallel execution for higher throughput.
• BSC is EVM-compatible with faster blocks, but still uses sequential execution. Monad's parallel execution gives it an edge for high-throughput workloads.
• Avalanche uses a different consensus mechanism (Avalanche consensus) and has multiple chains (X-Chain, P-Chain, C-Chain). Monad is a single chain with MonadBFT.
• Solana offers similar throughput but requires Rust contracts. Monad's EVM compatibility means you can use existing Solidity contracts and Ethereum tooling.

From a developer perspective, Monad's key advantage is that you don't need to learn a new language or rewrite your contracts. Your existing Ethereum tooling — Foundry, Hardhat, viem, ethers.js — works without modification.

Parallel execution: What developers need to know

Monad's parallel execution is handled automatically by the runtime. You don't need to declare transaction dependencies or change how you write contracts. The execution engine analyzes transactions and executes them in parallel when possible, falling back to sequential execution when transactions conflict.

For most developers, this is transparent. Your contracts work the same way they do on Ethereum. The difference is that Monad can process more transactions per second because it's not limited to sequential execution.

However, there are some considerations:

1. State conflicts: If two transactions modify the same state, they'll be executed sequentially. This is handled automatically, but it means that highly contended state (like a popular DEX pool) may not benefit as much from parallelization.

2. Gas estimation: Gas estimation works the same way as Ethereum, but the actual execution may be faster due to parallelization.

3. Transaction ordering: Within a block, transactions are still ordered deterministically. Parallel execution doesn't change the final state, only how quickly it's computed.

eth_getLogs and range caps

Like most high-throughput chains, Monad imposes range caps on eth_getLogs to prevent abuse. If you're querying logs for a contract that emits a lot of events, you'll need to chunk your queries into smaller block ranges.

A safe default is 10,000 blocks per query. If you need to scan a wider range, loop through it in chunks:

const FROM_BLOCK = 100000000;
const TO_BLOCK = 103000000;
const CHUNK_SIZE = 10000;

for (let i = FROM_BLOCK; i < TO_BLOCK; i += CHUNK_SIZE) {
  const logs = await provider.getLogs({
    address: "0x...",
    fromBlock: i,
    toBlock: Math.min(i + CHUNK_SIZE - 1, TO_BLOCK),
  });
  // Process logs
}

Trace methods and archive access

Monad's standard RPC does not support trace_block, trace_transaction, or debug_traceCall. These methods require an archive node with tracing enabled, which is a different (and more expensive) infrastructure setup.

If you need internal transactions, contract creation traces, or state diffs at a specific block, you'll need to use a dedicated archive provider or query the chain's block explorer API.

For most dApp use cases — reading balances, submitting transactions, querying logs — the standard RPC is sufficient.

Bridging and ecosystem

Monad's native bridge is powered by Wormhole, and other cross-chain protocols like LayerZero, Axelar, and deBridge support moving MON, USDC, and other assets to and from chains like Ethereum and Solana.

The ecosystem launched with a broad range of DeFi, NFT, gaming, and infrastructure projects. Major tooling providers like Pyth (for price feeds) have integrated with Monad, making it easier for developers to build production-ready applications.

The short version

Monad is a high-performance EVM Layer 1 with parallel execution and MonadBFT consensus. Chain ID 143, sub-second blocks, ~0.8-second finality, gas fees typically under 1 gwei. Standard Ethereum JSON-RPC — if you've built on Ethereum, you already know how to query it. Uses MON (18 decimals) for gas.

For developers who want Ethereum's tooling and Solidity compatibility without Ethereum's throughput limitations, Monad is worth evaluating. Your existing contracts work without modification, and the parallel execution engine handles the performance optimization automatically.

For reliable Monad RPC access across load-balanced nodes, grab a free API key and point your app at:

https://rpc.swiftnodes.io/rpc/monad?key=YOUR_API_KEY