CERBERRUS144 / Enterprise field research

One transaction.
Three versions of truth.

If a product is advertised for one amount, paid under another identity and stored as a different catalog item, a simple payment button cannot prove the transaction is deliverable.

Free interactive demonstrationBrowser-onlyNo login or paymentNo private platform data

Closed-loop consistency model

Yang–Mills-inspired structural analogy: check whether business identity and amount survive a complete reference cycle. No physical Yang–Mills field is computed.

① WebsiteDisplayed offer
→
② PaymentStripe contract
→
③ CatalogFulfillment identity

Return edge: the catalog's price and product identity must agree with the advertised offer.

Change the facts. See the failure.

All example IDs below are fictional. This demonstration does not contact Stripe or a database.

① Website claim
② Payment provider
③ Fulfillment catalog
Run a check

Try the mismatched payment and catalog example.

    Even when all three demo nodes agree, this is not a live payment readiness certificate. Real release also needs seller identity, legal notices, authorized credentials, signed webhooks, independent payment proof, customer-access testing and delivery verification. The production Python engine enforces separate gates.

    From demo to enterprise software

    The underlying Python Field Consistency Engine audits bounded provider observations, records mismatches and refuses to mark a sale ready on missing evidence. The browser demo above illustrates only the identity, price and state checks. No production automation or revenue is claimed here.

    Try the workflow checklist or prepare an organic distribution brief, all without speaking to a salesperson.