🛡️Cloudflare Blog•Freshcollected in 21m
Ask Internet Data Questions in Plain Language
#internet-data#natural-language#interactive-chartscloudflare-radar-researchercloudflarecloudflare-radarcloudflare-developer-platform
💡Explore Internet-scale traffic data without writing queries or building charts manually.
⚡ 30-Second TL;DR
What Changed
Radar Researcher accepts plain-language questions about global Internet trends and traffic.
Why It Matters
Radar Researcher lowers the barrier to analyzing large-scale Internet telemetry for developers and researchers. It may also serve as a practical example of deploying natural-language data interfaces on a cloud developer platform.
What To Do Next
Use Radar Researcher to test three natural-language queries relevant to your product’s traffic, geography, or Internet performance.
Who should care:Researchers & Academics
Key Points
- •Radar Researcher accepts plain-language questions about global Internet trends and traffic.
- •The tool transforms natural-language queries into real, interactive charts.
- •It is built entirely on Cloudflare's Developer Platform.
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •Radar Researcher leverages Cloudflare's Workers AI platform to run inference directly on the edge, minimizing latency for data visualization generation.
- •The tool is designed to democratize access to Cloudflare's massive dataset—which observes approximately 20% of all Internet traffic—without requiring SQL expertise.
- •It utilizes a specialized LLM-to-SQL architecture that translates natural language into structured queries compatible with Cloudflare's internal analytics engine.
- •The interface includes a feedback loop mechanism where users can rate the accuracy of generated charts, helping to fine-tune the underlying model's query generation capabilities.
- •Radar Researcher integrates with Cloudflare's existing 'Radar' ecosystem, allowing users to pivot from high-level natural language insights to granular, historical traffic data.
📊 Competitor Analysis▸ Show
| Feature | Cloudflare Radar Researcher | Google Trends | SimilarWeb |
|---|---|---|---|
| Primary Focus | Real-time network/traffic data | Search interest trends | Market intelligence/traffic |
| Query Method | Natural Language (AI) | Keyword-based | UI/Dashboard-based |
| Pricing | Free (Freemium model) | Free | Enterprise/Paid |
| Data Source | Cloudflare Global Network | Google Search Index | Panel/Direct measurement |
🛠️ Technical Deep Dive
- Built on Cloudflare Workers and Workers AI, enabling serverless execution of the query-generation model.
- Employs a RAG (Retrieval-Augmented Generation) pattern to map user intent to specific database schemas and API endpoints.
- Uses a custom-trained or fine-tuned LLM optimized for SQL generation and data visualization parameter extraction.
- Leverages Cloudflare's internal ClickHouse-based analytics infrastructure for high-speed data retrieval.
- Implements strict input sanitization to prevent prompt injection attacks against the underlying database query engine.
🔮 Future ImplicationsAI analysis grounded in cited sources
Cloudflare will integrate Radar Researcher insights directly into its WAF and security dashboards.
By enabling natural language queries on security data, Cloudflare can reduce the time-to-resolution for security analysts investigating global threat patterns.
The tool will eventually support predictive analytics based on historical traffic trends.
The current infrastructure allows for the addition of forecasting models that can utilize the existing historical dataset to project future traffic patterns.
⏳ Timeline
2020-09
Cloudflare launches Radar to provide insights into global Internet traffic and security trends.
2023-09
Cloudflare announces Workers AI, providing the infrastructure for running AI models on the edge.
2024-03
Cloudflare expands Radar with enhanced API access and deeper integration with its security products.
2026-08
Cloudflare launches Radar Researcher, introducing natural language querying to the platform.
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Original source: Cloudflare Blog ↗