A verifiable, privacy-preserving randomness service for on-chain applications, built with Rust and confidential compute.
ws_rand_service is a general-purpose randomness infrastructure service designed for blockchain applications that require fair, unbiased, and verifiable random values.
Unlike naive on-chain randomness approaches (e.g. blockhash-based randomness), this service is built with a strong security model in mind and is suitable for games, lotteries, DeFi protocols, governance mechanisms, and NFT applications.
The project is intentionally designed as a reusable primitive, not a one-off demo.
- ✅ Fair and unbiased randomness generation
- ✅ Verifiable outputs consumable by smart contracts
- ✅ Privacy-preserving computation (no plaintext leakage)
- ✅ Clean separation between randomness generation and consumption
- ✅ Extensible architecture for future protocols
The service is designed so that:
- Randomness cannot be influenced by a single actor
- Outputs can be verified on-chain
- Internal computation logic can remain confidential
- 🎮 On-chain games and loot systems
- 🎟️ Lotteries and raffles
- 🖼️ NFT trait generation
- 🗳️ DAO governance (random selection, ordering)
- 📉 DeFi mechanisms requiring unbiased randomness
- Security-first: No reliance on predictable or manipulable on-chain entropy
- Minimal trust assumptions: No single oracle or operator controls outcomes
- Composable: Easy to integrate with different programs and workflows
- Protocol-agnostic: Not tied to a single application or contract
ws_rand_service/
├── src/
│ ├── core/ # Core randomness logic
│ ├── service/ # Request / response handling
│ ├── types/ # Shared data structures
│ └── lib.rs
├── examples/ # Example integrations
├── tests/
└── README.md
This repository is under active development.
APIs, interfaces, and internal design may change as the project evolves.
- Core randomness computation module
- Verifiable output format
- Solana example consumer program
- Security review and threat model
- Documentation and usage examples
This project aims to avoid common randomness pitfalls such as:
- Block producer manipulation
- Predictable entropy sources
- Single-operator control
That said, this code has not yet been audited.
Do not use in production environments without proper review.
MIT License
This software is provided "as is", without warranty of any kind.
Use at your own risk.