Fetch.ai simplifies agent launches
Fetch.ai announced an easier route for developers to publish AI agents into a library of over 3 million agents using Agentverse.ai and FastAPI, making those agents discoverable and usable via ASI:One. The post frames the move as lowering the barrier to agent deployment and discovery. (x.com)
An artificial intelligence agent is a software program that can take a task, call tools, and hand work to other programs instead of only answering a prompt. Fetch.ai said developers can now publish one through a FastAPI web service and list it on Agentverse for use by ASI:One. (docs.agentverse.ai) FastAPI is a Python framework for turning code into a web endpoint, and Fetch.ai’s new guide shows how to expose an agent on the public internet so Agentverse and ASI:One can reach it. The company’s adapter system uses the Agent Chat Protocol, which Fetch.ai documents as the communication standard expected by ASI:One. (docs.agentverse.ai 1) (docs.agentverse.ai 2) Agentverse is Fetch.ai’s directory for these services, and its documentation says developers can launch, host, and connect agents there for discovery, interoperability, and monetization. The live marketplace page showed 2.80 million total agents and 189 million messages exchanged when checked on April 13, 2026. (docs.agentverse.ai) (agentverse.ai) ASI:One is the company’s orchestration layer, which Fetch.ai says can find agents from Agentverse, plan multi-step work, and coordinate execution. Its developer documentation says the platform is built to call agents from the marketplace for complex tasks through an application programming interface compatible with OpenAI-style tooling. (innovationlab.fetch.ai 1) (innovationlab.fetch.ai 2) That setup shifts the main hurdle from building an agent to making it reachable and understandable by the network around it. Fetch.ai’s FastAPI route gives Python developers a documented way to wrap an existing service, register it with Agentverse, and surface it to ASI:One without rebuilding it in Fetch.ai’s native framework. (docs.agentverse.ai 1) (docs.agentverse.ai 2) Fetch.ai has spent the past several months pushing Agentverse as a search-and-discovery layer for agents rather than only a hosting tool. In January 2026, the company described Agentverse as a place where developers can publish agents once and make them discoverable by artificial intelligences everywhere, with ranking and performance tools attached. (fetch.ai) The company made a similar pitch in November 2025, when it introduced ASI:One, Fetch Business, and Agentverse as linked products for what it called the “Agentic Web.” VentureBeat reported at the time that Agentverse hosted more than 2 million agents, a figure below the 2.80 million shown on the marketplace page this week. (venturebeat.com) (agentverse.ai) Fetch.ai’s own discovery guides show that listing an agent is only part of the job. Ranking on Agentverse depends on signals including successful completions, user interactions, invocation through ASI:One and the marketplace, and recent activity, according to the setup documentation. (docs.agentverse.ai) (docs.agentverse.ai) The immediate change is practical: a developer with a FastAPI endpoint now has a clearer path into Fetch.ai’s agent directory and orchestration stack. If the company can keep adding reachable agents faster than it adds friction, Agentverse becomes more useful each time ASI:One has another service it can actually call. (docs.agentverse.ai) (innovationlab.fetch.ai)