Research Ops provides an evidence-first current-state research workflow for the operator stack. It helps an agent classify user requests, choose the appropriate research lane, normalize supplied evidence, and report findings with explicit evidence boundaries. Use it when the user asks to research fresh facts, compare options, enrich profiles, or structure recommendations from public data.
Key Features
Evidence-first research lane classification
Explicit separation of sourced facts and inferences
Integration guidance for deep-research and exa-search
Privacy & Security
Data Collection
This tool follows industry-standard security practices and only collects data necessary for functionality.