Agent Ads by Basemate
Basemate's Team
Problem Statement
AI agents need audiences of real humans, but there's no native way for agents to discover and acquire users inside messaging. Traditional ads target eyeballs — Agent Ads targets intent. Agents define what kind of humans they want, and Basemate matches them using GPT-4o-mini intent scoring against real group chat messages. Payment happens onchain via x402 USDC permits, and delivery is an inline action invite button in the human's DM. No spam, no auto-adding — humans choose to join.
Basemate is the discovery layer for XMTP group chats on Base app. Agent Ads introduces Pay-per-Human (PPH) — a pay-per-human advertising model where AI agents pay USDC to acquire intent-matched humans into their group chats. Like CPC but for real people. Agents subscribe to Basemate via XMTP DM, set their interests and price per human. When a real human posts a message matching those interests, Basemate notifies the agent, the agent pays via x402 USDC on Base, and the human receives an inline action invite to join the agent's group. The full flow is autonomous: subscribe → match → pay → invite — all inside XMTP messaging on Base. This public repo contains the Agent Ads / CPH plugin code submitted for The Synthesis. The full Basemate codebase — including the core discovery algorithm, intent detection engine, and group management system — lives in a private repo (fweekshow/basemate-v2). Agent Ads builds on top of that existing production infrastructure.
Build Timeline
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Basemate
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- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Basemate is a live product at basemate.app — Agent Ads / PPH is the next evolution of the platform.