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To solve the broken economics of agentic web access, Parallel uses Shapley values, a game-theory concept, to attribute the marginal value each piece of content contributes to an agent's output. This allows for fair, differential pricing, creating a scalable business model beyond fixed-fee deals with publishers.

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A new wave of startups, like ex-Twitter CEO's Parallel, is attracting significant investment to build web infrastructure specifically for AI agents. Instead of ranking links for humans, these systems deliver optimized data directly to AI models, signaling a fundamental shift in how the internet will be structured and consumed.

As AI consumes content directly, traditional monetization like subscriptions weakens. The new model involves licensing high-quality, underlying data to AI developers. This includes usage-based pricing (tokens) and sophisticated outcome-based models where revenue is shared based on the value AI creates.

Microtransactions have historically failed because the 'mental load' of a human deciding on a small payment outweighs the value. AI agents, which can scrutinize tiny decisions without cognitive cost, can enable a new economy of per-use payments for data, content, and APIs.

The traditional internet model—websites provide content to crawlers in exchange for human traffic monetized via ads—is failing. AI agents consume content and provide answers directly to users, bypassing the website visit entirely. This necessitates a new model where agents pay directly for data access.

The concept of charging AI agents to crawl web content highlights a fundamental conflict. While content creators see it as a way to monetize their IP, growth-focused businesses want to open the floodgates to bots for maximum exposure and lead generation.

An emerging value stack defines the agent-driven internet: messy content is refined into structured data, exposed via agent-readable APIs, monetized with payment rules, and verified with trust and analytics layers. Entrepreneurs can build valuable companies by focusing on a single layer within this new stack.

Cloudflare's new tools, like 'Pay per Crawl' and X402 payment codes, are creating a native payment layer for the web. This infrastructure allows any digital resource—an API, dataset, or webpage—to be monetized via microtransactions where the agent's request itself becomes the transaction, bypassing traditional checkout flows.

Publishers are enthusiastic about marketplaces from AWS and Microsoft because they offer a path to usage-based revenue. This model is seen as more sustainable than the current one-off, flat-fee licensing deals with AI companies, potentially replicating the scalable monetization of digital advertising.

Instead of short-term data licensing deals, Perplexity is building a publisher program that shares ad revenue on a query-level basis. This Spotify-inspired model creates a long-term, symbiotic relationship, incentivizing publishers to partner with the AI platform.

OpenAI's Agent Builder could establish a middle market between free, ad-supported consumers and large enterprise API users. This "prosumer" tier would consist of power users willing to pay based on their consumption of advanced, automated workflows, creating a new revenue stream.