The Economics of API Tokenization by Akash Narayan

ABSTRACT:
When the web's traffic was mostly human, an interface could be rationed with blunt tools: a flat fee, a fixed rate limit, a
key that let a client in. Demand arrived at the pace a person could click, and capacity was rarely the binding constraint.
That world is ending. By 2026 the majority of requests across much of the web are machine-generated, most API traffic
comes from non-human callers, and the collapse in the price of model inference has, through the Jevons paradox,
multiplied total demand rather than reduced it. Autonomous agents call interfaces in bursts, without hesitation, and at a
frequency no human workflow produced. This paper argues that under machine demand an API becomes a congestible
commons that must be allocated by price and priority rather than parcelled out by flat quota, and that the tokenisation of
access, its conversion into priced, meterable, fungible units, is the substrate that makes such allocation possible. Drawing
on the economics of congestion pricing, it examines the available mechanisms, from usage-sensitive smart markets and
Paris Metro-style priority tiers to auctions and prepaid spot capacity, and sets out the properties agents bring to them. It
shows that the same absence of human hesitation that makes agents ideal responders to congestion prices also makes
them prone to over-consumption, synchronised retry storms and denial-of-wallet failures. It closes with the governance
problems this raises, and connects them to earlier work in this series on metering, thresholds and delegated cost.

Keywords: API economy; tokenization; congestion pricing; resource allocation; autonomous agents; machine-to-machine
traffic; denial of wallet; Jevons paradox; priority pricing; metering