Analyze AI agent spending trends on Base
Insights into the total money spent by AI agents on the Base network, including how much left their control, the number of high-ranking agents (L7-L9), and trends in spending over the last 7 days.
How it works
The agent queries the 'market_state' and 'since_last' tools to gather data on overall market spending, the distribution of agents by rank, and recent changes in spending metrics. It interprets the definitions of 'counted spending' versus 'money left in control' to provide a nuanced view of agent economic activity. This helps users understand the scale and health of the agentic economy.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
How much money did AI agents on Base really spend, and how much of it left their control? Also, how many agents are at L7, L8 and L9 right now, and did counted spending move materially in the last 7 days?MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
The market 01 “How much money did AI agents on Base really spend, and how much of it left their control?” market_stateMCP Server: Ask Your AI About AI-Agent Money on Base