---
title: "When AI Agents Pay and Sellers Monetize: Building x402 Apps for Agentic Commerce on AWS"
category: "talks"
date: "2026-07-01"
time: "11:40am-12:00pm"
track: "Agentic Commerce"
room: "Track 2"
speakers: ["Anil Nadiminti"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Agentic Commerce"
scheduleRoom: "Track 2"
scheduleLabels: ["Agentic Commerce", "Track 2", "sponsor", "confirmed"]
---
# When AI Agents Pay and Sellers Monetize: Building x402 Apps for Agentic Commerce on AWS

## Conference Context
- Date/time: 2026-07-01 · 11:40am-12:00pm
- Track/room: Agentic Commerce · Track 2
- Speaker(s): Anil Nadiminti
- Session type/status: sponsor · confirmed

- Track: Agentic Commerce
- Room: Track 2
- Session type: sponsor
- Status: confirmed

## Session Description
As Agentic AI moves from chat to execution, autonomous agents need a native way to discover, access, and pay for digital services in real time. This session explores how x402 can turn HTTP into a payment-aware interface for machine-to-machine commerce, unlocking crypto-native patterns like programmable access, pay-per-use APIs, and on-demand monetization for data, tools, and services. We’ll show how to build x402-enabled applications and walk through the architecture, the full agentic payments flow, seller monetization strategies, payment verification, and design tradeoffs involved in making agent-driven transactions secure, scalable, and production-ready. Attendees will leave with practical patterns for building apps where AI agents do not just call APIs — they can discover services, evaluate costs, transact autonomously, and enable new revenue models for sellers.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

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

## People
- [[anil-nadiminti]]

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

## Synthesis
### Synthesized Breakdown
# When AI Agents Pay and Sellers Monetize: Building x402 Apps for Agentic Commerce on AWS ## Conference Context - Date/time: 2026-07-01 · 11:40am-12:00pm - Track/room: Agentic Commerce · Track 2 - Speaker(s): Anil Nadiminti - Session type/status: sponsor · confirmed - Track: Agentic Commerce - Room: Track 2 - Session type: sponsor - Status: confirmed ## Session Description As Agentic AI moves from chat to execution, autonomous agents need a native way to discover, access, and pay for digital services in real time. This session explores how x402 can turn HTTP into a payment-aware interface for machine-to-machine commerce, unlocking crypto-native patterns like programmable access, pay-per-use APIs, and on-demand monetization for data, tools, and services. We’ll show how to build x402-enabled applications and walk through the architecture, the full agentic payments flow, seller monetization strategies, payment verification, and design tradeoffs involved in making agent-driven transactions secure, scalable, and production-ready. Attendees will leave with practical patterns for building apps where AI agents do not just call APIs — they can discover services, evaluate costs, transact autonomously, and enable new revenue models for sellers.

### Speaker And Company Context
- [[anil-nadiminti|Anil Nadiminti]] — Sr Solutions Architect at [[amazon-web-services-aws|Amazon Web Services (AWS)]].

### Topics Covered
- [[agentic-search]]
- [[ai-sandboxes]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.