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Source Radar

Narylr350byNarylr350
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4
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Developer Tools
Data Science & ML
Web Scraping & Data Collection

Provides an auditable information collection engine for AI agents, aggregating search results from the Chinese internet into structured evidence cards for verification, research, and synthesis.

Source Radar is an advanced information collection engine designed for AI agents, offering robust search, web scraping, and community data acquisition capabilities, specifically tailored for the Chinese internet. It consolidates diverse search sources through SearXNG meta-search, applies AI-driven search planning, and employs a suite of quality detectors to ensure high-fidelity data. The collected information is then structured into auditable 'evidence cards,' complete with source links, summaries, and veracity assessments, empowering AI to perform accurate synthesis, verification, and in-depth research. It also features adaptive timeouts and false-alive detection for efficient operation.

Key Features

01SearXNG meta-search aggregation with Bing/Baidu fallbacks for comprehensive results.
02AI Search Planner for adaptive query modification, platform selection, and quality-gated retries.
03Unified, auditable evidence cards for structured and verifiable information.
04Comprehensive support for Chinese internet search, web scraping, and community data collection.
05Advanced quality assessment with 10 detectors and adaptive timeout management.
062 GitHub stars

Use Cases

01Troubleshooting technical problems by aggregating official documentation, GitHub issues, and community discussions.
02Fact-checking and verifying events by seeking strong, authoritative sources and official statements.
03Conducting in-depth research and comparative analysis for complex topics like AI model benchmarks.