Cloudflare Launches Radar Researcher Beta to Visualize Global Traffic Data Using Natural Language
Cloudflare has introduced Radar Researcher, a beta-stage AI assistant that enables users to query and visualize global internet traffic and security trends using natural language.

Cloudflare has launched Radar Researcher in beta, an AI-powered assistant designed to simplify how users explore global internet traffic patterns and security trends. Built entirely on Cloudflare's own developer platform, the tool translates natural language questions into precise queries to generate interactive charts instantly. Previously, analyzing the massive datasets compiled by Cloudflare Radar required users to navigate deep into complex dashboards, manually apply granular filters, or write custom API queries. Radar Researcher lowers this barrier, enabling researchers, journalists, and network operators to extract deep analytical insights without having to understand underlying database schemas or API specifications. Released as part of Cloudflare's Agents Week, the tool is currently available to beta testers. While it streamlines data exploration, users are encouraged to verify the accuracy of the generated charts and use the interactive chat interface to iteratively refine their queries for precise analysis.
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Comparison
| Aspect | Before / Alternative | After / This |
|---|---|---|
| Query Interface | Manual dashboard filters or custom REST API requests | Interactive natural language conversational prompts |
| Data Visualization | Pre-built dashboard widgets or manual charting of raw JSON payloads | Automatic, instant generation of interactive contextual charts |
| Technical Barrier | High; requires understanding of networking terms and API schemas | Low; translates colloquial questions into technical data requests |
| Query Refinement | Re-configuring complex UI filters or rewriting code | Conversational follow-ups with the AI agent to narrow results |