By the end of 2025, the AI agent ecosystem has become popular. From autonomous trading Bots to multi-agent collaborative DAOs, everyone wants to set up their own intelligent system. As a Crypto Veteran in DeFi, I quickly tried out the latest ATTPs communication protocol from APRO Oracle.

This thing is specifically designed for data interaction between AI agents, structured in five layers. The core selling points are end-to-end encryption, ZK zero-knowledge proofs, and Merkle tree verification, paired with a dynamic trust scoring mechanism. It sounds complex, but in one sentence: it allows agents to transmit data no longer on "blind trust", but instead on "verifiable, traceable, and tamper-resistant". Compared to the traditional HTTP/WebSocket communication method of "as long as it works", the security level has been raised several notches.

I integrated ATTPs into my small project and ran a dual-agent collaboration scheme: one captures real-time prices and news feeds for BTC and RWA; the other consumes data to trigger trading strategies. The actual results are quite good—P2P transmission layer has strong fault tolerance, and message encryption (AES-256) works smoothly; the most impressive part is the verification layer, which strings together ZK, Merkle, and trust distribution mechanisms, allowing agents to "verify each other" instead of "trusting each other" when receiving data. In most scenarios, verification delay can be controlled within 300ms, and stress tests show throughput can reach the level of 4000 tx/s.

Compared to the traditional proxy communication solutions used before, this trap represents a qualitative leap in both security and efficiency. For applications like prediction markets and cross-chain arbitrage, which have high requirements for data credibility, using this protocol feels much more reliable.