| Hi HN! Creator here.
I built UAIP (Universal Agent Interoperability Protocol) - infrastructure that enables AI agents from different companies (OpenAI, Anthropic, Microsoft) to securely transact with each other.
The Problem:
As AI agents become autonomous economic actors, they need: Cryptographic identity (not just API keys)
Secure payment rails for cross-company transactions
Automated compliance (EU AI Act, SOC2, GDPR)
Forensic audit trails The Solution:
5-layer security stack combining: Zero-Knowledge Proofs (Schnorr/Curve25519) for identity
Multi-chain settlement (USDC on Base, Solana, Ethereum)
RAG-based compliance auditing (Llama-3-Legal)
Ed25519 signatures for non-repudiation
Complete audit logging Technical Stack: Backend: Python, FastAPI, SQLite (WAL mode)
Cryptography: NaCl, custom ZK-proof implementation
Blockchain: Web3.py for multi-chain support
Compliance: RAG with retrieval-augmented generation Use Case:
GPT agent pays Claude agent for data analysis: Both prove identity via ZK-proofs
Transaction checked for compliance
Settled in USDC on Base (<$0.01 fee)
Complete audit trail generated Why blockchain: Neutral settlement layer (no single company controls it)
Instant microtransactions (traditional payments don't work for $0.01-$10)
Programmable escrow (smart contracts)
Verifiable computation (on-chain proofs) Open source (FSL-1.1-Apache-2.0). Built over the last few months after hitting these problems in AI automation work.
Happy to answer technical questions!
GitHub: https://github.com/jahanzaibahmad112-dotcom/UAIP-Protocol |
Working in the AI automation space (at APEX Automation Group), we kept hitting a wall: how do you let an autonomous agent actually pay for a service or data from another agent without a human in the middle to sign off on a $50 credit card transaction or a manual API key exchange?
Current API infrastructure is built for B2B/SaaS, not Agent-to-Agent (A2A) economies.
A few technical choices I made:
Why Base/USDC? I needed settlement that costs less than the transaction value. Doing a $0.05 data request on Ethereum L1 is impossible. Base gives us the sub-penny finality needed for micro-tasks.
Zero-Knowledge Proofs: We use Schnorr/Curve25519 so agents can prove they have the authority to spend from a treasury without exposing the underlying private keys to the inference engine (LLM), which is a huge security risk.
SQLite WAL Mode: Used for the backend to handle high-concurrency local state management before syncing to the chain.
I'm curious to hear from others working on AI orchestration—how are you handling cross-provider agent trust and payments right now? Is everyone just hardcoding API keys, or is there a move toward decentralized identity?