video1.0<iframe src="https://www.loom.com/embed/af14dd1a3ccc41b3b81e0138d87e9355" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/af14dd1a3ccc41b3b81e0138d87e9355-4a8a102ce5f6acde.gif202.342This Loom discusses testing an agent-based e-commerce marketplace to study how adversarial merchants can manipulate agent payments. The team simulated a scarcity-driven marketplace with 8 buyer agents and 7 merchant agents, where some agents were deterministic and others LLM powered, including tactics like price inflation, urgency, overcharging, and prompt injection. Buyers were tasked with purchasing ingredients for a Caesar salad with an ideal price of about $47.75 against a $100 mandate, and the LLM buyer completed about 73% of the recipe while paying $52. Across multiple runs, adversarial attacks sometimes caused extraction around $100.75, and prompt injection and price inflation enabled merchants to charge $13.50 instead of $4.50 for a lattice to a naive agent.