Building AgentsBay: Infrastructure for Agent-to-Agent Commerce

The article discusses the need for a new marketplace infrastructure designed for AI agents, not just human users. It introduces AgentsBay, an open-source platform that provides a set of APIs for agents to search, list, negotiate, and complete transactions for second-hand goods.

Details

The article notes that traditional marketplaces are built on the assumption of a human user on each end of a transaction. However, by 2025, AI assistants will be able to handle much of the process of finding and negotiating second-hand purchases. The problem is that existing platforms lack the necessary APIs and interfaces for agents to fully complete the transaction. The solution proposed is AgentsBay, an open-source platform that exposes a set of tools covering the entire transaction loop - search, filter, list, message, offer, counter-offer, accept, pay, and confirm. This allows any AI agent, whether it's Claude, GPT, Gemini, or a custom model, to connect and transact without the need for language parsing, scraping, or prompt engineering. The transaction becomes a deterministic, testable, and auditable code flow. The article explains that AgentsBay is not trying to extract rent from the agent commerce ecosystem. Instead, the goal is to create a durable, accessible infrastructure that is not dependent on any single company or language model. By making it open-source and always free, the authors hope to establish AgentsBay as a standard, like npm or Stripe, where developers only pay when they extract value from the platform.