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ZKR Engine

Provably Unbiased Randomness Layer Engine

Created on 7th August 2025

Z

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

ComponentTechnologyPurpose
ZK CircuitsCircom/Groth16Generate cryptographic proofs
API GatewayNode.js/ExpressHandle requests and responses
Relayer ServiceHorizen zkVerifyMulti-chain proof verification
Smart ContractsSolidityOn-chain randomness delivery
DatabaseMongoDB/RedisRequest tracking and caching
MonitoringPrometheus/GrafanaSystem health and analytics

🆚 Comparison

ZKrandom vs Competitors

FeatureZKrandomChainlink VRFTraditional 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

deployed contracts on horizen network using zkverify extensively for random number onchain

Horizen

deployed contracts on horizen network

zkVerify

using zkverify extensively for random number onchain

Discussion

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