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Fetch.ai's assistant and OpenAI-compatible API whose models hand work off to specialist agents
ASI:One is Fetch.ai's assistant layer, and it wears two faces. The consumer one is a personal AI that books flights, holds dinner reservations and manages a calendar while learning your preferences. The developer one is an OpenAI-compatible endpoint on its own api.asi1.ai host serving three models — asi1, asi1-mini and asi1-ultra — that plan multi-step work and hand individual steps to specialist agents registered on Fetch.ai's Agentverse marketplace. Because the API mirrors OpenAI's request shape, existing clients, LangChain and tools such as Claude Code or Cursor point at it with a base-URL swap. Neither asi1.ai nor the documentation publishes a price list or a per-token rate.
No plan cards or per-token rates appear on asi1.ai — which serves a JavaScript shell to automated fetches — or anywhere in docs.asi1.ai, and /pricing returns a 404, so no entry figure is recorded.
Use tool ↗The idea worth taking seriously is routing: rather than one model trying to do everything, ASI:One plans the task and delegates steps to agents published on Agentverse, so capability grows with the marketplace rather than with the next training run. Making it OpenAI-compatible is a smart adoption shortcut — your existing client works after a base-URL change. What is missing is commercial clarity: no price list, no rate card, and a consumer pitch that promises far more than the developer docs demonstrate.
Watch out: The consumer 'books your flights and dinner' framing on fetch.ai is much further ahead than the developer documentation, which describes an API and an agent marketplace and nothing about bookings.
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