ClickTreats is a next-generation decentralized marketplace for the agentic data economy, where individuals reclaim ownership of their digital footprint and monetize it through autonomous AI agents and instant blockchain settlement. Today, browsing data powers a massive multi-hundred-billion-dollar industry, yet individual users receive none of the value they create. Advertisers, data brokers, and AI companies profit from behavioral exhaust while users remain uncompensated. ClickTreats was built to reverse this model by transforming passive browsing into an active, user-owned asset class. At its core, ClickTreats allows verified humans to package, license, and rent their browsing data directly to buyers, with payments settled instantly in USDC and enforced by smart contracts. How It Works For sellers, a Chrome extension collects browsing events with explicit user consent. A local AI “Packaging Engine” organizes raw activity into structured Data Packages (shopping intent, SaaS research, travel planning, crypto behavior, and more). Users can list these packages on the marketplace or license them for fixed time windows, retaining full ownership of their data. For buyers, ClickTreats introduces autonomous procurement. Instead of manually browsing listings, buyers submit objectives such as “Acquire high-intent luxury footwear shoppers.” A Gemini-powered AI agent scans the marketplace, evaluates seller reputation, predicts ROI, and autonomously executes purchases using x402 micropayments. A real-time Thinking Log displays the agent’s internal reasoning, making every transaction transparent and auditable. All users are verified through World ID to guarantee that every data point comes from a real human. This human-verification layer increases data quality and prevents bot-generated market pollution.
Category tags:"Very innovative concept!"
Tingting Lin
"he project effectively combines user data ownership with AI-driven marketplace automation. Key strengths include the comprehensive approach to data monetization, real-time AI agent reasoning transparency, and blockchain-based instant settlement. For improvement, consider implementing more granular data privacy controls, adding data quality verification mechanisms beyond human verification, expanding the AI agent's decision-making criteria with more sophisticated ROI prediction models, and creating a dispute resolution system for data quality issues. "
Ken Huang
CEO