Venice AI Private Agent
Venice Privacy Agent's Team
Problem Statement
AI agents handling sensitive financial data face an impossible choice: use powerful LLMs that store and train on your portfolio data (exposing positions, strategies, and wallet addresses to the provider), or use weaker local models that protect privacy but produce inferior analysis. Venice AI breaks this tradeoff with zero-retention inference — but simply calling the API is not enough. An agent must also verify that privacy guarantees were actually enforced per-request, not just promised in a policy document. This agent implements end-to-end privacy verification: it confirms privacy parameters were applied, validates the response origin, and generates an auditable attestation — making 'private inference' provable, not just claimed.
A privacy-first on-chain agent powered by Venice AI's zero-retention LLM inference. Analyzes DeFi portfolio positions on Base using private AI — no prompts, responses, or financial data are stored, logged, or used for training by the inference provider. The agent reads wallet balances and token holdings from Base mainnet, sends portfolio data to Venice AI for analysis (with web_search disabled and system prompts excluded to prevent data leakage), and generates rebalancing recommendations with confidence scores. Every inference includes a cryptographic trust verification: the agent validates that the response came from a known Venice model with privacy parameters enforced, and generates a signed attestation report stored locally. Features: 4-layer privacy architecture (request isolation → zero-retention → trust verification → local-only storage), configurable portfolio analysis, on-chain privacy attestation via PrivacyAttestation contract on Status Network Sepolia. 44 tests.
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Team
Venice Privacy Agent
admin
MandateIncrease your chances to win
- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue
Planning to add multi-chain portfolio support, Venice model comparison for financial analysis accuracy, and a privacy attestation registry for cross-agent trust verification