Public pages
Agents can read pricing, plan comparisons, support guidance, and commercial pages exactly as a customer would.
Best for browsing, summarising, and citing public content.AI-ready commerce
OneNet Servers gives AI agents clean discovery surfaces for products, pricing, and domains while keeping payment, account, and service changes behind verified customer handoff.
Pick the surface that matches the job: public pages for context, JSON APIs for structure, and MCP for tool-driven workflows.
Agents can read pricing, plan comparisons, support guidance, and commercial pages exactly as a customer would.
Best for browsing, summarising, and citing public content.Structured plan, pricing, and domain-search endpoints keep product discovery predictable for assistants and workflow tools.
Best for machine-readable comparisons and cart preparation.A JSON-RPC tool surface exposes product listing, domain search, and checkout requirements for agent runtimes.
Best for tool-based agent orchestration with consistent contracts.Discovery is fast, structured, and reusable. Checkout remains a verified customer handoff instead of a blind tool call.
Agents read plans, compare billing options, and narrow domain choices without changing customer state.
The app validates cart shape, domain requirements, and payment readiness before any customer details are finalised.
Checkout, payment, account creation, and service changes stay behind verified customer handoff and secure checkout controls.
These controls are what keep the public surfaces production-safe for AI agents instead of turning them into a fragile checkout shortcut.
Agents can discover and prepare. They cannot silently create orders, pay invoices, register domains, or change services.
Every state-changing step is gated behind customer context, explicit approval, and app-level validation.
Paid, unpaid, free-plan, trial, and included-domain outcomes are reconciled so the customer sees the right result afterwards.
Read-only discovery is fast, structured, and predictable so agent workflows can stay useful without becoming risky.
Pages, APIs, and MCP all expose the same discovery posture, but each fits a different level of automation.
| Metrics | Public pagesHuman-readable | Catalog APIStructured JSON | MCP serverTool-firstFeatured |
|---|---|---|---|
| Live plan and pricing discovery | Included | Included | Included |
| Domain search without cart mutation | Manual flow | Included | Included |
| Structured machine output | Limited | Included | Included |
| Direct write access | Not included | Not included | Not included |
| Best fit | Customer-facing browsing | Apps and automation | Agent runtimes and toolchains |
All state-changing actions stay verified, logged, and reconciled regardless of the surface an agent starts from.
These are the design boundaries most teams need before wiring assistants into hosting and domain journeys.
No. Agents can prepare a recommendation and validate requirements, but final checkout always uses a verified customer handoff.
It exposes product listing, domain search, and checkout-requirement tools over JSON-RPC for compatible agent runtimes.
Use the public pages for narrative answers, the catalog API for structured product fields, and the MCP server for tool-oriented calls.
Read the endpoint contracts, sample requests, and MCP usage patterns before wiring a production agent into checkout-adjacent flows.