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Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
LABS
Services

Token Economic Stress Testing & Simulation

We run Monte Carlo and agent-based simulations on your proposed token model to forecast behavior under extreme market conditions, volatility, and adversarial strategies before you launch.
Chainscore © 2026
overview
FOUNDATION

Blockchain Infrastructure Development

Build and scale secure, high-performance blockchain infrastructure tailored for Web3 applications.

We architect and deploy the core infrastructure your application needs to succeed, from dedicated node clusters to custom indexers and RPC services. Our focus is on performance, reliability, and developer experience.

Deploy production-ready infrastructure in weeks, not months, with a 99.9% uptime SLA.

  • Node Operations: Managed EVM and Solana validators with real-time monitoring and failover.
  • Data Indexing: Custom subgraphs and indexers for complex on-chain data queries.
  • API & RPC: High-throughput endpoints with rate limiting, caching, and analytics.
  • Security: Multi-cloud deployment, DDoS protection, and regular security audits.
key-features-cards
QUANTITATIVE MODELING

Our Simulation & Analysis Capabilities

Move beyond theoretical tokenomics. Our quantitative models simulate real-world market dynamics, providing data-driven insights to de-risk your launch and optimize for long-term sustainability.

benefits
TURN SIMULATIONS INTO CERTAINTY

Outcomes: De-Risk Your Token Launch

Our stress testing and simulation service delivers concrete, actionable insights that protect your project's most critical asset: its token. Move from theoretical models to data-backed confidence.

01

Identify Critical Failure Points

We simulate extreme market conditions—flash crashes, whale dumps, liquidity droughts—to expose vulnerabilities in your tokenomics model before they impact real users.

> 50
Attack Vectors Modeled
100%
Coverage of Top 10 Risks
02

Optimize Vesting & Emission Schedules

Prevent sell-pressure cliffs and inflation-driven devaluation. We model long-term token supply dynamics to ensure sustainable growth and align incentives for all stakeholders.

< 2%
Max Monthly Inflation
12-36 months
Optimal Vesting Range
03

Validate Liquidity & Market Stability

Stress test your DEX pools and market-making strategies under volatile volume. Ensure your token maintains price stability and sufficient liquidity for healthy trading.

> 20x
Volume Spike Simulation
< 5%
Target Slippage
04

Quantify Governance Attack Risks

Model potential governance attacks, including proposal spam and vote manipulation. We provide safeguards to protect your DAO's treasury and decision-making integrity.

51%
Attack Threshold Analysis
3-Layer
Defense Strategy
05

Benchmark Against Competitors

Gain a competitive edge. We analyze historical data from similar token launches to benchmark your model's performance and identify proven successful patterns.

50+
Historical Launches Analyzed
10 Key
Performance Metrics
06

Receive Actionable Mitigation Plan

Get a clear, prioritized roadmap—not just a report. We provide specific code-level adjustments and parameter tweaks to fortify your economic model based on simulation results.

< 72 hours
Report Delivery
Executive & Technical
Report Versions
Quantitative Analysis vs. Qualitative Opinion

Simulation vs. Traditional Tokenomics Review

A data-driven comparison of our agent-based simulation approach against conventional, manual tokenomics reviews.

Analysis DimensionTraditional Review (Manual)Chainscore Simulation (Automated)

Methodology

Spreadsheet models & expert opinion

Agent-based Monte Carlo simulation

Data Inputs

Static assumptions, limited scenarios

Dynamic market data, 10,000+ simulation runs

Risk Detection

Identifies obvious flaws

Reveals hidden failure modes & cascade risks

Time to Insight

2-4 weeks for report

Actionable dashboard in 48-72 hours

Quantifiable Metrics

Limited to TVL, inflation rate

Token velocity, holder churn, sell pressure under stress

Scenario Testing

3-5 manual scenarios

100+ automated scenarios (bull/bear/black swan)

Cost (Typical Project)

$15K - $50K+

$8K - $25K

Ongoing Model Updates

Manual rebuild required

Live model adjusts to new chain data

how-we-deliver
PREDICTABLE, STRUCTURED DELIVERY

Our 4-Week Engagement Process

A proven, sprint-based methodology to deliver a comprehensive tokenomics stress test, from initial model validation to actionable risk mitigation strategies.

01

Week 1: Model Audit & Baseline

We conduct a deep-dive audit of your existing token model, including supply schedules, incentive mechanisms, and governance parameters. We establish quantitative performance baselines and identify initial risk vectors.

100%
Model Coverage
5+
Risk Vectors Identified
02

Week 2: Scenario Design & Simulation

Our team designs 10-15 custom stress scenarios (e.g., market crashes, whale dumps, governance attacks, liquidity crises) and runs them through our proprietary simulation engine to test model resilience.

10-15
Custom Scenarios
100k+
Simulation Runs
03

Week 3: Analysis & Vulnerability Report

We analyze simulation outputs to pinpoint critical failure points, quantify economic risks, and produce a detailed vulnerability report with severity scores and exploit probability assessments.

Critical
Risk Prioritization
Data-Driven
Probability Scoring
04

Week 4: Mitigation Strategy & Final Review

We deliver a final report with concrete, prioritized recommendations—from parameter adjustments to architectural changes—and conduct a live review session with your team to ensure clarity and alignment.

Actionable
Recommendations
Live
Strategy Review
Technical & Commercial Questions

Tokenomics Stress Testing FAQ

Common questions from CTOs and founders about our stress testing methodology, timelines, and deliverables.

We employ a three-phase quantitative approach: 1) Agent-Based Modeling to simulate user behavior under market stress, 2) Monte Carlo Simulations to test thousands of market scenarios, and 3) Game Theory Analysis to identify potential attack vectors. Our models are built on real on-chain data and calibrated against historical de-pegs and protocol failures.

ENQUIRY

Get In Touch
today.

Our experts will offer a free quote and a 30min call to discuss your project.

NDA Protected
24h Response
Directly to Engineering Team
10+
Protocols Shipped
$20M+
TVL Overall
NDA Protected Directly to Engineering Team