Agent Spending Without Controls: The Missing Infrastructure Layer for AI Pa…

Official Schedule Context

AI agents are already transacting autonomously, but the infrastructure to govern how they spend does

not yet exist. Traditional payment rails were built for humans, not for systems making thousands of

micro-decisions per minute on someone else's behalf. This session brings together Edge & Node's CEO

and Senior Solutions Architect to cover both the strategic case and the technical implementation.

Rodrigo opens with the infrastructure gap: why programmable budget governance is a foundational

requirement for any team deploying agents in production, and what it means to have real-time

visibility and a full audit trail across every agent transaction. He also covers Edge & Node's

founding membership in the x402 Foundation and why open standards for agent-to-agent and agent-to-

service payments matter for the broader ecosystem. Pranav then goes deep on the stack: how

structured, indexed blockchain data from The Graph powers reliable agent decision-making, how Amp

Enterprise extends that into auditable datasets at production scale, and what it looks like in

practice to wire ampersend into agent frameworks including LangChain, CrewAI, AutoGPT, and custom-

built systems. He walks through the x402 and A2A standards that make agent payments interoperable

and what a real deployment looks like end to end. The session closes with the bigger picture: bots

are already half of all internet traffic, TradFi and DeFi are converging, and the infrastructure

stack that wins is the one built for where they meet.

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

Pending transcript synthesis when an official recording or confirmed matching video is available.