The Grounding framework addresses the challenge of fragmented financial data retrieval faced by professionals, offering a simplified process for natural language queries against S&P Global's verified financial datasets. By separating data routing from data retrieval layers and employing a custom DRA protocol, the system improves efficiency while maintaining accuracy and context. The framework's design and evaluation methodology, as well as its implications for the evolving agentic ecosystem, pro...