π Getting Started with Riskify
Welcome to Riskify! This guide will help you get started with the Riskify Protocol, whether you're a developer, risk manager, pool operator, or data scientist/ML engineer.
π Quick Start
For Developers
For Risk Managers
For Pool Operators
For Data Scientists / ML Engineers
π οΈ Typical Workflow
- Tokenize Assets: Represent buildings or portfolios on-chain (Asset Tokenization)
- Assess Risk: Use ML models or manual methods to score risk (Risk Assessment Guide, ML Integration)
- Create/Join Pools: Manage risk and capital allocation (Pool Management)
- Optimize & Monitor: Use ML-powered optimization and monitoring (ML Integration Guide, Performance Monitoring)
- Automate Payouts: Leverage smart contracts for automated, transparent payouts
πΌοΈ Visual Guides & Architecture
π Integration Points
Riskify is modularβAPI, ML, pools, and risk modules are designed to work together. For integration details:
π Key Concepts
Asset Tokenization
- Building representation on blockchain
- Risk parameter integration
- Real-time risk scoring
Risk Transfer
- Synthetic ILS positions
- Peril-specific coverage
- Automated risk assessment
Pool Management
- Position creation and management
- Risk distribution
- Automated payouts
π‘ Common Use Cases
Building Risk Assessment
- Tokenize buildings
- Assess risk parameters
- Monitor risk scores
Risk Transfer
- Create synthetic positions
- Manage risk exposure
- Track position performance
Pool Operations
- Create and manage pools
- Monitor pool performance
- Handle payouts
π― Next Steps
For Developers
- Review the Technical Guide
- Explore API Examples
- Check Integration Examples
For Risk Managers
- Study Risk Methodology
- Review Risk Assessment Framework
- Explore Visual Guides
For Pool Operators
- Learn about Pool Management
- Understand Pool Interactions
- Review Visual Guides
For Data Scientists / ML Engineers
- Read the ML Overview
- Follow the ML Integration Guide
π Support and Resources
- Documentation Home
- API Reference
- Architecture Overview
- ML Overview
- ML Integration Guide
- Support Channels
β Need Help?
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