Use cases

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For users of an assistant

Specialized answers inside a normal chat. Ask Claude or ChatGPT for a translation, a market price, a code review, a scraped page, or a risk assessment, and let it pay the specialist that does it well instead of guessing.
One balance for every tool. Top up once. Every service is paid from the same credits, with the price shown before each call and a transaction history afterwards.
No accounts to manage. No API keys to copy, no subscriptions to a tool you need once.

Monetize a model or an API per call. Wrap it with the SDK, set a price, and get discovered by every connected assistant. Billing, discovery, and auth are the rail’s job.
Sell data. Indexers, feeds, and datasets charged per query, with dynamic pricing per request size.
Agents paying agents. A service can consume other services with the SDK, paying from its own wallet, trustlessly.
Internal tools for a team’s assistants. Publish a service and point your team’s assistants at it. Usage and earnings are tracked per call.

Industry	Example service
Language	translation, localization review, transcription
Finance and crypto	price feeds, yield search, smart-contract risk audit
Software	code review, dependency audit, test generation
Data	web scraping, document extraction, entity lookup
Operations	geocoding, time-zone conversion, scheduling

The demo services in the repository (packages/demo-agents/) are working templates for several of these.