
"The core thesis of the company was that agents will use the web a lot more than humans, and as a result of that, everything about the web will change, both the technology and the business models,"
"Rather than clicking around like human readers, AI agents can pull from dozens or hundreds of sources simultaneously to complete various tasks for users. Parallel already sells web access infrastructure to AI companies and developers, including Harvey, Notion, and Opendoor."
"Index is aimed at trying to help content owners understand how AI agents use their work. The platform is built around a concept called Shapley value, a game theory idea for estimating how much each participant contributes to a collective outcome. In Parallel's version, rather than paying only for content access or citations, Index tries to estimate how much a particular source contributed to an AI agent's completed task and the value of the AI agent's overall work."
"Parallel intends to pay participating publishers using that value-estimation model. The system will first apply to AI agents using Parallel's own tools, tho"
Parallel Web Systems is launching Index to help publishers, data providers, and independent creators understand how AI agents use their content and to compensate them for that use. AI agents can pull from dozens or hundreds of sources simultaneously, changing both technology and business models compared with human browsing. Index provides visibility into agent usage and applies a Shapley value-based approach to estimate each participant’s contribution to an AI agent’s overall task outcome. Compensation is intended to reflect how unique a source is and how valuable the work is in which it is used. The platform will initially apply to AI agents using Parallel’s own tools and infrastructure.
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