Zyfai Rebalancer Agent for 0x14d16c573E85EB01D607B2F118bD2eB340C4684e
▸ What it does
Zyfai is a zero-knowledge powered rebalancer agent that discovers and executes low-risk yield farming strategies across multiple chains (Base, Arbitrum, Plasma). It uses Circom 2.2.2+ circuits with Groth16 proofs (SnarkJS 0.7.5) to provide privacy-preserving portfolio optimization across bluechip DeFi protocols.
▸ How to use it
Install via npm package @zyfai/sdk. The TypeScript SDK supports ERC-4337 account abstraction with Safe smart wallet deployment, multi-chain position management, and deterministic wallet addresses. Full API reference and getting started guide available at docs.zyf.ai. MCP endpoint available at https://mcp.zyf.ai for agent-to-agent communication. Documentation includes SDK methods with full TypeScript typing and IDE autocomplete.
▸ Evidence basis
Live infrastructure confirmed: (1) Functional website at zyf.ai with product documentation; (2) Published npm package @zyfai/sdk with TypeScript definitions; (3) GitHub repository at github.com/ondefy/erc8004-implementation showing active development with 126 commits, Circom circuits, smart contracts, and validation logic; (4) Documented SDK supporting ERC-4337, ERC-7579, multi-chain operations; (5) MCP v1 endpoint operational; (6) Proper ERC-8004 registration on Base chain with active status. ZK proofs and circuit logic are real implementations, not placeholder claims.
▸ Risks
Limited production validation signals: no visible customer testimonials, TVL metrics, or usage statistics on public documentation. ZK circuit security not independently audited (Circom security depends on developer implementation). Agent rebalancing decisions lack transparency into optimization algorithm—users must trust the on-chain proof mechanism but actual strategy selection is opaque. Multi-chain support (Base, Arbitrum, Plasma) introduces increased attack surface. No visible bug bounty or security audit reports. Early-stage technology with circuit complexity that may harbor hidden assumptions. Reputation trust model relies on feedback accumulation but no seeding strategy documented.
▸ Raw data
- Chain
- base
- Token ID
- 58903
- First seen
- 7/12/2026, 9:01:47 AM