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ZKR Engine
Provably Unbiased Randomness Layer Engine
Created on 7th August 2025
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ZKR Engine
Provably Unbiased Randomness Layer Engine
The problem ZKR Engine solves
🎯 Overview
ZKrandom Engine revolutionizes on-chain randomness by providing a trustless, transparent, and verifiably fair random number generation service. Built on the robust Horizen ecosystem and powered by zkVerify, our engine eliminates the need for trusted oracles through cryptographic proofs.
Why ZKrandom?
- 🔒 Zero Trust: No need to trust oracles or external parties
- 🌐 Multi-Chain: Deploy once, use anywhere across EVM chains
- 📊 Fully Auditable: Every random number comes with a ZK proof
- ⚡ Developer-Friendly: Simple API integration with comprehensive SDKs
- 🏛️ Regulation-Ready: Built for compliance and transparency
✨ Features
Core Capabilities
- 🔐 ZK-SNARK Proofs: Every random number is cryptographically proven
- 🌍 Cross-Chain Support: Native support for Base, Ethereum, Polygon, and more
- 🔄 Flexible Entropy: Combine block hashes, beacons, and custom sources
- ⚙️ Configurable Circuits: Customize randomness logic for specific use cases
- 📡 RESTful API: Easy integration with any application or blockchain
- 🛡️ Enterprise Security: Rate limiting, authentication, and monitoring
Technical Highlights
- Circom/Groth16 ZK circuits for efficient proof generation
- Horizen zkVerify integration for seamless multi-chain deployment
- Docker containerization for easy deployment and scaling
- Prometheus/Grafana monitoring and analytics
- Redis caching with Prisma for high-performance request handling
Component Overview
| Component | Technology | Purpose |
|---|---|---|
| ZK Circuits | Circom/Groth16 | Generate cryptographic proofs |
| API Gateway | Node.js/Express | Handle requests and responses |
| Relayer Service | Horizen zkVerify | Multi-chain proof verification |
| Smart Contracts | Solidity | On-chain randomness delivery |
| Database | MongoDB/Redis | Request tracking and caching |
| Monitoring | Prometheus/Grafana | System health and analytics |
🆚 Comparison
ZKrandom vs Competitors
| Feature | ZKrandom | Chainlink VRF | Traditional RNG |
|---|---|---|---|
| Trust Model | ✅ Trustless | ⚠️ Semi-trusted | ❌ Trusted |
| Verifiability | ✅ ZK Proofs | ⚠️ VRF Signature | ❌ None |
| Multi-Chain | ✅ Native | ⚠️ Manual Deploy | ❌ Single Chain |
| Customization | ✅ Full Circuit Control | ❌ Fixed Algorithm | ❌ No Control |
| Latency | ⚠️ 30-60s | ✅ 10-30s | ✅ <1s |
| Cost | ⚠️ Higher | ✅ Moderate | ✅ Low |
| Transparency | ✅ Full | ⚠️ Limited | ❌ None |
When to Use ZKrandom
✅ Perfect for:
- High-value games and lotteries
- Regulated gambling applications
- NFT drops requiring provable fairness
- Decentralized finance protocols
- Applications needing audit trails
⚠️ Consider alternatives for:
- High-frequency, low-value operations
- Applications with tight latency requirements
- Simple randomness needs without audit requirements
Challenges I ran into
- issue with creating proves
- integration issue going multi chain
Tracks Applied (3)
Horizen & zkVerify
Horizen
zkVerify
Technologies used
Discussion
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