DePIN Economic Model Stress Test

We simulate extreme market conditions—flash crashes, liquidity droughts, validator churn, and regulatory shifts—to identify critical failure points in your incentive model before launch.

Model thousands of rational and adversarial economic actors (suppliers, consumers, speculators) to predict emergent behaviors and Nash equilibria within your DePIN ecosystem.

Track every token movement under stress to pinpoint inflationary pressures, treasury drain risks, and unsustainable reward schedules that could lead to protocol collapse.

Leverage Monte Carlo simulations to find the optimal set of protocol parameters (staking rewards, slashing, fees) that maximize network security and participant ROI under stress.

Stress test against low-probability, high-impact events like regulatory crackdowns, oracle failures, or cross-chain bridge hacks to assess existential risks.

Receive a clear, quantified report with key risk metrics (TVL-at-Risk, Break-Even Volatility, Time-to-Insolvency) and prioritized recommendations for CTOs and investors.

We map your tokenomics, incentive flows, and governance rules into a dynamic simulation model. This establishes the baseline for all stress scenarios, ensuring tests reflect your protocol's unique economic logic.

We design and execute extreme but plausible market and adversarial scenarios: 90% token price crashes, 10x demand spikes, Sybil attacks, and liquidity black swans to probe system limits.

Our engine runs high-fidelity simulations, tracking 50+ KPIs across token velocity, staker behavior, treasury health, and network security in real-time to capture emergent system dynamics.

We deliver a prioritized report detailing failure thresholds, economic vulnerabilities, and concrete mitigation strategies—from parameter tweaks to architectural changes—to harden your model.