Ready for AI shopping assistants

Your PIM, your commerce engine and your OMS each hold part of the truth. A person shopping on your site gets a composed record. An agent shopping across twenty retailers gets whatever you expose on MCP, and most catalogues expose nothing because the fan-out would be unmanageable.

Building a second model means maintaining it forever. Reading sources live means reliability compounds downward: one source at 97 percent uptime, ten sources at 74 percent. You cannot let an agent write into your systems, so checkout needs a quote with stated validity. Token cost per query matters when Perplexity is calling you a thousand times a day.

Speedtrain reads your sources once, composes the product record once, and exposes it on MCP / Agent Context with entitlement enforced and what is unknown stated plainly.

• Quote Contract gives the agent a firm, time-stamped price it can act on before validity expires
• Agent Mandate verifies what this caller may do and surfaces the boundaries with the data
• Context Graph lets the agent fetch, filter, facet and search the catalogue in one query, not twenty

Your PIM, commerce engine and OMS stay authoritative. Speedtrain holds no transaction state and your checkout keeps the payment.

We measured the same product taxonomy assembled up front against assembled at request time. Same enrichment task, same model, same output quality. The only variable was whether the facts were prepared or built on the hot path.

300,000 tokens down to 15,000. Five times cheaper per answer and three times faster. This is our own measurement rather than a customer result, and we can document the method if you ask for it.