Economic Simulation & Stress Testing

overview

CORE SERVICE

Smart Contract Development

Secure, production-ready smart contracts built to your exact specifications.

We architect and deploy custom smart contracts for DeFi, NFTs, DAOs, and enterprise applications. Our development process is built on security-first principles using Solidity 0.8+, OpenZeppelin libraries, and comprehensive audit trails.

From Concept to Mainnet: We handle the full lifecycle—specification, development, testing, and deployment.
Security as Standard: Every contract undergoes static analysis, formal verification, and peer review before audit.
Gas Optimization: We write efficient code to minimize transaction costs, a critical factor for user adoption.
Multi-Chain Ready: Deployable on EVM-compatible chains (Ethereum, Polygon, Arbitrum) and Solana.

Deliver a secure, auditable, and scalable foundation for your Web3 product in as little as 4-6 weeks.

key-features-cards

PROVEN FRAMEWORK

Our Simulation & Testing Methodology

We deploy a multi-layered, automated testing framework designed to expose economic vulnerabilities before they impact your protocol's mainnet launch or live operations.

Agent-Based Monte Carlo Simulations

We model thousands of independent, rational, and adversarial agents interacting with your protocol to uncover emergent risks and edge-case failures that deterministic tests miss.

10,000+

Concurrent Agents

1M+ Runs

Scenario Coverage

Historical & Synthetic Stress Testing

Stress your protocol against historical black swan events (e.g., LUNA collapse, 3AC liquidation) and bespoke synthetic crises we engineer to test your specific economic assumptions.

20+

Historical Scenarios

Custom

Synthetic Crises

Formal Verification for Economic Logic

We apply mathematical proof techniques to your core economic mechanisms (e.g., bonding curves, fee models) to guarantee invariants hold under all possible states and sequences of actions.

100%

Invariant Proof

CertiK

Audit-Ready

Fork-Based Mainnet Replay Testing

Execute your protocol's test suite on a forked mainnet environment (Ethereum, Arbitrum, etc.) using real historical state and transaction data for the highest-fidelity validation.

Continuous Integration Pipeline

Automated testing is integrated into your development workflow. Every code commit triggers a full simulation suite, preventing regression and ensuring continuous safety.

GitHub Actions

Native Integration

< 30 min

Full Test Run

Comprehensive Risk Reporting

Receive actionable, prioritized reports detailing discovered vulnerabilities, their potential financial impact, and concrete remediation steps—not just a pass/fail score.

CVSS Scoring

Risk Prioritization

Remediation Plan

Included

benefits

STRESS-TESTED INFRASTRUCTURE

Deliver a Stable, Sustainable Economy

Proactively identify and mitigate systemic risks before they impact your protocol. Our economic simulation and stress testing services provide the data-driven confidence needed to launch and scale a resilient token economy.

Agent-Based Market Simulation

Model complex user behaviors—from rational traders to malicious actors—within a simulated market environment. Identify emergent risks, liquidity black holes, and incentive misalignments before mainnet deployment.

Extreme Scenario Stress Testing

Stress your protocol's economic parameters against historical black swan events and custom-tailored crisis scenarios (e.g., 90% TVL withdrawal, oracle failure, flash crash). Validate circuit breakers and emergency mechanisms.

Parameter Optimization & Calibration

Systematically tune critical economic levers—like fee schedules, reward emissions, and collateral ratios—using Monte Carlo simulations. Achieve optimal balance between growth, stability, and sustainability.

Regulatory Compliance Simulation

Simulate the economic impact of potential regulatory actions, such as changes to capital requirements or transaction taxes. Model compliance costs and develop resilient governance frameworks.

Long-Term Sustainability Analysis

Project your tokenomics model years into the future under various adoption and market cycles. Analyze treasury runway, inflation/deflation pressures, and long-term validator/keeper incentives.

Actionable Risk Reporting

Receive clear, prioritized reports detailing vulnerabilities, their potential impact, and concrete mitigation steps. All findings are backed by reproducible simulation data and economic rationale.

Executive & Technical

Why Agent-Based Simulation is Superior for DeFi

Simulation vs. Traditional Modeling

Traditional spreadsheet models fail to capture the complex, dynamic interactions of on-chain economies. Our agent-based simulations provide a more accurate, actionable view of protocol behavior under stress.

Modeling Factor	Traditional Spreadsheet Modeling	Chainscore Agent-Based Simulation
Dynamic User Behavior
Network Effect Modeling
Multi-Agent Interaction
Real-Time Scenario Testing	Manual, days	Automated, minutes
Attack Vector Discovery	Limited	Comprehensive (MEV, oracle, governance)
Liquidity Shock Analysis	Static snapshots	Dynamic flow modeling
Time to Insight	Weeks	Hours
Integration with Live Data	Manual import	Direct RPC/Subgraph connection
Typical Project Cost	$50K-$200K+ (internal team)	$25K-$75K (turnkey)
Actionable Output	Static PDF report	Interactive dashboard & risk scores

how-we-deliver

METHODOLOGY

Our Four-Phase Engagement Process

A structured, collaborative approach to building resilient token economies. We move from discovery to deployment, ensuring your model is robust, data-driven, and ready for market.

Phase 1: Discovery & Model Definition

We conduct in-depth workshops to map your token's utility, governance, and incentive structures. Deliverables include a formalized economic model specification and a clear hypothesis for key metrics like velocity and staking yields.

2-3 days

Workshop Duration

1-2 weeks

Model Spec Delivery

Phase 2: Simulation Environment Build

We develop a custom, agent-based simulation using frameworks like CadCAD or custom Python/TypeScript. This digital twin replicates your protocol's logic, user behaviors, and market conditions for controlled testing.

Python/TS

Primary Stack

100k+ Agents

Typical Simulation Scale

Phase 3: Stress Testing & Scenario Analysis

We execute a battery of tests: liquidity shocks, whale attacks, governance attacks, and parameter sensitivity analysis. We identify failure modes, economic exploits, and optimal parameter ranges.

50+

Test Scenarios

Critical

Vulnerability Report

Phase 4: Reporting & Iteration Support

You receive a comprehensive report with findings, risk ratings, and actionable parameter recommendations. We provide ongoing support for model tuning and pre-launch validation.

Executive & Technical

Report Versions

Ongoing

Advisory Support

Technical & Commercial Insights