Of course, trusted banker bot

A specific pit boss.  Each of the major banks can install their own verification and completion bot, called for each transaction.  The trading pit guarantees them proprietary space with which to decrypt and approve.

import tradingpit as Pit
Pit.boss = TrustedBanker
Pity.coin = EncryptedCredit
Pit.run_the_queues()

The pit boss here, just inherits fixed price commerce, but the sellers are effectively banks.  The buyers have made external contact with the vendor, and ahas an id to complete the transaction.

This is a completely verifiable set up, put it at the bank, or at a vendor; the decrypting banker bots are a clearing house wrapper.  Certified clients use this,. like yhr American express of online commerce, trusted for up to millions in purchase. Clients anonymously get fulfillment, the UPS person will meet them at the specified corner almost always.

Payment verification, a coin function. So we can see some stable definitions emerge, even as we move to virtual coin.  Verification is external to the pit boss, but is a necessity.  The method and calls defined in attributes about the coin. Like the owner's contract, a closed,bounded set; smooth where the parameters intersect so we do not get jitter hackers.  And we see a set of inheritance evolving, the basic object being the Walmart cash transaction, that set's a fundamental cycle rate.

The deal on jitter hackers is when they build up contrived credit, mainly to keep the queue busy with bogus verifications, then they do he usual, jump the queue on release.  But, using per cycle payment, we have a clear opportunity to smooth bound the flat services defined by the linear parameter space.  An old math trick, getting a smooth enough, but curved enough cost function that drives the bugs away from sharp surfaces.  Doable, verifiable.