Introducing Radar Researcher: An AI tool for exploring Internet data in plain language
- ID
- 11943
- Status
- summarized
- Published
- 07 Aug 2026, 9:00 PM
- Fetched
- 07 Aug 2026, 10:56 PM
- Provider
- Cloudflare Blog
- Category
- infrastructure
- Original URL
- https://blog.cloudflare.com/introducing-radar-researcher/
- Source URL
- https://blog.cloudflare.com/rss/
Summary
- Score
- 5.5
- Created
- 07 Aug 2026, 10:56 PM
- Tags
- Audience
- developersvibe_codersai_agent_users
What happened
Cloudflare beta-launched Radar Researcher, an AI tool that lets users query Cloudflare Radar's internet traffic datasets in plain language and receive interactive charts in response. The tool is built on Cloudflare's developer platform and grounds its LLM responses in Radar's free API data, covering DNS queries from 1.1.1.1, HTTP traffic, network quality data, and more. It is available on every Radar page and was announced as part of Cloudflare's Agents Week.
Why it matters
Radar Researcher is a working example of the pattern where an LLM agent is grounded in a real API rather than free-form generation—useful both as a tool you can try today for internet traffic analysis and as a reference architecture if you are building AI agents over your own datasets. If you currently use Radar's API manually for network or outage research, you can now skip filter selection and API documentation and ask questions directly, though it is in beta so verify outputs against raw API calls for anything critical.
Discussion angle
The API-as-grounding-layer pattern: Radar Researcher routes every question through Radar's API so the LLM works with real data instead of hallucinating. Compare this to RAG-only or tool-use approaches you might be building, and discuss when API grounding is preferable to vector search for structured datasets.