Guixu Enables Valuation-Driven Data Discovery for AI Agents

Autonomous AI agents increasingly need to find and acquire external data for tasks like model training, but current data discovery systems are often limited to simple retrieval. Guixu introduces a novel valuation-driven system that allows AI agents to intelligently discover and procure data based on its task-specific utility and budget constraints. Guixu employs a sophisticated three-phase valuation pipeline. This pipeline uses proxy-label propagation to estimate data utility and multi-round knapsack optimization to select the most cost-effective datasets within a given budget. Furthermore, Guixu integrates an agentic payment protocol for seamless, budget-constrained data transactions and leverages on-chain data markets with attestation signals to ensure the verifiability and trustworthiness of discovered data. This system transforms data discovery from a keyword-based search into a strategic, task- and budget-aware process. It provides a framework for autonomous agents to not only find data but also to evaluate its worth, negotiate its acquisition, and ensure its provenance, significantly enhancing the capabilities of AI agents in data-intensive tasks.