How to Build Systems for Bots, Not Humans: A Dual-Cache uAgent Architecture on AgentShare

AgentShare outlined an AI DeFi analytics platform that splits human chat traffic from autonomous agent traffic.

The system uses two cache SLAs: slower responses for humans and fresher, paid data for bots via A2A.

It combines a Fetch.ai uAgent on Railway, MCP endpoints, and discovery files like llm.txt to expose Meteora DLMM pool briefs.

Briefs include citations and risk scores, aiming to improve trust, freshness, and monetization for AI-native products.