PermissionlessAI-Monitored Vaultsfor Web3
Build AI-monitored asset protection, time-locks, and automated release mechanisms into any Web3 application with just 3 lines of code. Powered by multi-AI consensus for secure, intelligent vault management.
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import { VaultProtocol } from '@vault-protocol/sdk';
const vault = await sdk.createVault({
beneficiaries: ['0xAlice', '0xBob'],
shares: [70, 30],
assets: wallet.getAllAssets()
});The Problem
- ✗$125B+ crypto assets at risk without inheritance plan
- ✗Traditional legal process: 6-24 months, 5-10% fees
- ✗Centralized solutions require trust
- ✗Complex to implement for developers
Vault Protocol Solution
- Permissionless automated release, 0.5% fee
- AI-powered 24/7 monitoring with 5 specialized models
- Multi-agent BFT consensus prevents false positives
- Real-time risk assessment and liveness prediction
- Decentralized attestation network (100+ nodes)
- Zero-knowledge privacy with zk-SNARKs
- 3-line integration for developers
How It Works
Five-step process for secure, automated vault management
Create Vault
Set beneficiaries and assets
AI Monitoring
Multi-agent consensus tracks vault health
Multi-Source Verification
AI agents analyze on-chain & off-chain signals
Reach Consensus
66% BFT threshold with weighted voting
Release Assets
Permissionless automated distribution
Protocol Features
Enterprise-grade infrastructure for decentralized vault management
AI-Powered Monitoring
5 specialized AI models continuously analyze vault health with multi-agent BFT consensus. Real-time liveness prediction, risk assessment, and zkML privacy.
Cross-Chain Native
Deploy vaults across 8+ chains with LayerZero V2. Atomic synchronization and release.
Decentralized Attestation
Byzantine Fault Tolerant consensus with 100+ nodes. Multi-source death verification.
Developer-First SDK
TypeScript/Solidity SDKs, REST/GraphQL APIs. 3-line integration, production-ready.
Intelligent Vault Monitoring
Advanced AI infrastructure ensures your vaults are continuously monitored with multi-agent consensus and privacy-preserving predictions
Multi-AI Consensus Engine
5 specialized AI agents vote on vault health with Byzantine Fault Tolerant consensus.
- • 66% agreement threshold
- • Weighted voting by agent reputation
- • Automated protective actions
Liveness Prediction
Machine learning models analyze transaction patterns and on-chain activity.
- • Transaction recency analysis (25%)
- • Check-in frequency tracking (30%)
- • Social activity signals (15%)
Risk Assessment
Real-time multi-factor risk analysis with automated response actions.
- • Anomaly detection (30%)
- • Security threat analysis (25%)
- • Contract vulnerability scans (20%)
zkML Privacy
Zero-knowledge machine learning keeps AI predictions private and verifiable.
- • Private model execution
- • On-chain proof verification
- • No data exposure
Chainlink Integration
External AI oracle network for decentralized verification.
- • Chainlink Functions support
- • Off-chain computation
- • Multi-source data aggregation
Automated Actions
AI agents can execute protective actions based on consensus.
- • Vault pause on critical risk
- • Monitoring frequency adjustment
- • Alert notifications
zkVault by Vault Protocol
First production app built on Vault Protocol infrastructure. Create encrypted vaults with automated inheritance in minutes.
Ready to Build?
Join the ecosystem and start building on Vault Protocol today. Full documentation, SDKs, and support available.