[Proposal] Monad-Native Execution Insights (MNEI): Parallel Execution Contention Analyzer

[Asplana92]

🚀 [MNEI] Monad-Native Execution Insights — Contention Analyzer for Parallel Execution

Hi Monad team 👋

I’d like to propose an open-source developer tool — Monad-Native Execution Insights (MNEI) — a diagnostic and visualization utility for detecting parallel execution contention within Monad blocks.

This tool aims to help developers understand how transactions interact under Monad’s Optimistic Parallel Execution model and identify bottlenecks that reduce throughput.

💡 Motivation

Monad’s execution model allows multiple transactions to run in parallel as long as they don’t touch overlapping state.
However, when two transactions conflict (e.g., Read/Write or Write/Write collisions), they must be re-executed sequentially, reducing overall performance.

Currently, there’s no public tool to visualize or analyze these conflicts.

MNEI fills that gap — providing transparency into the execution graph and offering actionable insights for both core developers and dApp builders.

⚙️ Technical Overview (MVP)

1. Data Collection Layer

Leverage extended trace RPCs like:

debug_traceBlockByHash

debug_traceTransaction

Use a custom tracer (e.g., prestateTracer or Monad-native equivalent) to extract:

tx_hash

block_number

read_set → Storage keys accessed

write_set → Storage keys modified

is_sequential_reexecution → Boolean flag for re-execution

2. Conflict Detection Algorithm

For a given block T₁, T₂, … Tₙ:

Build a Dependency Graph (DAG) where:

Nodes = transactions

Edges = detected conflicts

Conflict types:

Read-After-Write (RAW): overlap between read_set(Tj) and write_set(Ti)

Write-After-Write (WAW): overlap between write_set(Tj) and write_set(Ti)

3. Visualization Layer

Web UI (React or D3.js)

Input → Block number

Output → Graph view

Color-coded edges: 🔴 W/W, 🟠 R/W

Tooltips showing conflict slots or addresses

Summary metric: Monad Parallelism Score

Parallelism Score = (# of non-conflicting txs / total txs) × 100%

🧠 Use Cases

dApp Optimization: Identify which contracts cause contention and adjust state layout.

Node Profiling: Measure execution efficiency across blocks.

Research & Education: Visualize the “internal mechanics” of Monad’s parallelism for documentation or workshops.

📊 Potential Impact

Area	Benefit
Developer Experience	Provides real insight into execution performance
Ecosystem Growth	Enables data-driven contract design
DevRel / Education	Excellent visualization tool for workshops
OpenBuild Integration	Could extend user reputation with “Execution Efficiency” data

🔬 Next Steps

Draft minimal tracer spec for Monad RPC layer.

Build an indexing script for storing Read/Write sets.

Implement prototype frontend visualization.

Release under MIT license as standalone toolkit.

Prototype inspiration:
Monad Community Kit
— infra automation, monitoring, and node health framework.
Author: @Asplana92
— Web3 Infra Builder & Monad Contributor
Twitter: @02Tolik02

✅ TL;DR

A native, developer-focused visualization tool for exploring transaction contention inside Monad’s parallel execution engine —
turning invisible performance mechanics into transparent, measurable insights.