Agentic Copyright, Data Scraping & AI Governance: Toward a Coasean Bargain in the Era of Artificial Intelligence

This project is an academic paper (arXiv:2604.07546v1) rather than a software tool. It currently has 0 stars and no code, representing the earliest stage of theoretical exploration. While the concept of 'Agentic Copyright' is a novel application of Coasean economics to the AI era, its defensibility is near zero because it lacks a technical implementation or a protocol for adoption. It faces significant platform domination risk; if such a system were to become viable, it would likely be implemented by major infrastructure providers like Cloudflare, Google, or specialized clearinghouses like TollBit rather than a standalone academic proposal. The primary value is in its conceptual framework for how rights-holders might automate licensing negotiations to reduce transaction costs in a world of autonomous scrapers. Competitive pressure comes from existing industry initiatives like the C2PA standard or commercial startups trying to build the 'Stripe for AI scraping'.