ivx-economy-simulator

What problem does it solve?

Designing, testing, and maintaining a balanced virtual economy is complex and time‑consuming, often leading to inflation, player churn, or unfair monetization.

Core Features & Use Cases

• Model currency sources and sinks to visualize net flow and detect inflation risk.
• Run Monte Carlo simulations for 90‑day, multi‑thousand‑player scenarios to forecast balances, Gini coefficient, and inflation rates.
• Design reward curves with customizable growth functions for progressive leveling systems.
• Optimize store pricing through A/B testing and elasticity analysis.
• Monitor live economy health in real time, with alerts for inflation, deflation, and imbalance.
• Deploy simulated configurations directly to Hiro economy settings and integrate with Satori analytics across Unity, Unreal, Godot, and web platforms.

Quick Start

Use the ivx-economy-simulator skill to run a 90‑day Monte Carlo simulation for a 1,000‑player economy and retrieve the Gini coefficient.