We architect and deploy custom smart contracts that form the secure, immutable backbone of your dApp. Our development process is built on OpenZeppelin standards and includes comprehensive unit testing with Hardhat or Foundry.
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Services
AI-Powered Tokenomics Economic Scenario Testing
Stress-test your token design with AI-generated synthetic data. We simulate multi-year emission schedules, holder behavior models, and external market shocks to validate long-term economic sustainability and incentive alignment before you launch.
Chainscore © 2026
overview
CORE ENGINEERING
Smart Contract Development
Secure, audited smart contracts built on `Solidity` and `Rust` for production-ready applications.
From tokenization to complex DeFi logic, we deliver contracts that are gas-optimized, upgradeable, and secure by design.
- Full Development Lifecycle: Specification, implementation, testing, and deployment on mainnet or testnets.
- Security-First Approach: Integration of formal verification tools and preparation for third-party audits.
- Protocol-Specific Expertise:
ERC-20,ERC-721,ERC-1155, and custom standards for L1/L2 ecosystems.
key-features-cards
SIMULATE, OPTIMIZE, VALIDATE
Core Capabilities of Our AI Testing Platform
Our platform provides CTOs and token architects with a rigorous, data-driven environment to stress-test economic models before deployment. Move beyond spreadsheets with AI-powered simulations that model real-world market behavior.
benefits
TANGIBLE RESULTS
Business Outcomes: From Risk Mitigation to Investor Confidence
Our AI-powered economic scenario testing transforms tokenomics from a theoretical exercise into a strategic asset. We deliver quantifiable outcomes that de-risk your launch, optimize your model, and build the confidence required to secure funding and community trust.
01
De-Risk Token Launches
Identify and mitigate critical vulnerabilities in your token model—from hyperinflation risks to liquidity black holes—before they impact your market. Our simulations model 100,000+ economic scenarios to surface failure points.
100K+
Scenarios Tested
Pre-Launch
Risk Identification
02
Optimize Treasury & Emission Schedules
Precisely calibrate vesting, staking rewards, and treasury allocation to ensure long-term sustainability. Our models balance inflation, liquidity, and holder incentives to maximize protocol health over a 5-year horizon.
5-Year
Sustainability Horizon
Data-Driven
Emission Calibration
03
Build Investor & Community Trust
Provide institutional-grade, simulation-backed documentation for your tokenomics. Demonstrate proven economic resilience to investors and transparently communicate long-term value to your community.
Institutional
Grade Analysis
Proven
Economic Resilience
04
Accelerate Fundraising & Due Diligence
Equip your fundraising team with defensible, data-backed tokenomics that answer critical VC questions on valuation, dilution, and runway. Streamline the technical due diligence process with clear, auditable models.
Streamlined
Due Diligence
Data-Backed
Valuation Models
05
Stress-Test Against Market Volatility
Simulate extreme market conditions—crashes, exploits, regulatory shifts—to ensure your token's economic model remains robust. We test against historical and hypothetical black swan events.
Black Swan
Event Testing
Historical Data
Backtesting
06
Enable Continuous Model Governance
Move beyond a one-time design. Establish a framework for ongoing monitoring and iterative optimization of your tokenomics based on real-chain data and evolving market dynamics.
Real-Chain
Data Integration
Iterative
Optimization
Why AI-Powered Simulation is Essential for Modern Tokenomics
AI Scenario Testing vs. Traditional Spreadsheet Modeling
A direct comparison of methodologies for stress-testing and validating your token economic model before launch.
| Analysis Dimension | Traditional Spreadsheet Modeling | Chainscore AI Scenario Testing |
|---|---|---|
Simulation Speed | Manual, hours per scenario | Automated, 1000+ scenarios in minutes |
Variable Complexity | Limited to 5-10 key inputs | Models 50+ on-chain & market variables |
Risk Coverage | Identifies obvious, linear risks | Uncovers hidden, non-linear failure modes |
Output Granularity | Static snapshots & charts | Dynamic, interactive 3D probability surfaces |
Adaptive Learning | None; static model assumptions | Yes; AI learns from live chain data to refine predictions |
Time to Insight | Weeks of manual analysis | Actionable reports in 48-72 hours |
Team Requirement | Dedicated quant analyst | Managed service with expert review |
Typical Project Cost | $20K-$50K + analyst time | $15K-$40K all-inclusive |
how-we-deliver
PROVEN PROCESS
Our Methodology: A Structured 4-Phase Engagement
We de-risk your token launch with a rigorous, data-driven framework. From initial model design to final stress testing, our phased approach ensures your economic model is robust, secure, and market-ready.
04
Phase 4: Audit & Final Validation
The final model undergoes a formal review against security best practices and regulatory considerations. We provide actionable recommendations to ensure your launch is compliant and resilient.
Deliverable: A Final Audit Memo and Go/No-Go Launch Recommendation.
Get Clear Answers
Frequently Asked Questions on AI Tokenomics Testing
Common questions from CTOs and founders about our AI-driven economic modeling and simulation service.
Our 4-phase methodology is designed for precision and speed. Phase 1: Data Ingestion – We integrate your token model, whitepaper, and market data. Phase 2: Model Construction – Our AI builds a multi-agent simulation environment. Phase 3: Scenario Execution – We run 10,000+ simulations for stress tests, Sybil attacks, and market shocks. Phase 4: Reporting & Recommendations – You receive a detailed report with vulnerability scores, optimization suggestions, and projected KPIs like token velocity and holder concentration.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall