Parallel Web Systems, the AI infrastructure startup founded by former Twitter CEO Parag Agrawal, has launched Index, a platform designed to systematically compensate content creators when AI agents utilize their work. As reported by Fortune, the platform introduces a compensation model based on the Shapley value—a game theory concept that calculates each individual source’s precise contribution to an AI agent's final output. The deployment addresses a structural shift in web economics, where automated bots increasingly extract data from multiple sites simultaneously instead of routing human readers through traditional page clicks.
The platform is launching with an initial cohort of media and data partners including The Atlantic, Fortune, PR Newswire, PitchBook, Enigma, RocketReach, and ZoomInfo. Independent creators such as Alex Heath’s Sources, Packy McCormick’s Not Boring, and Mario Gabriele’s The Generalist have also integrated with the system. The infrastructure provides digital publishers with transparency tools to track exactly how autonomous models deploy their material, scaling payouts relative to the uniqueness or verified utility of the underlying data. Nicholas Thompson told Fortune that while automated agents represent the next major interface for accessing information, "the economics of the web have not caught up with that reality."
Agrawal argues that fixed-fee licensing agreements, such as those established between OpenAI and legacy institutions like the Associated Press, Axel Springer, and News Corp, are structurally insufficient for widespread market competition. The startup's model aims to prevent smaller digital publishers and emerging content businesses from being excluded by high capital barriers. Highlighting the competitive risk of centralized data access, Agrawal told Fortune, “If only a few large companies have access to premium content and no one else does, how will anyone compete?”
