Enables AI agents to perform professional-grade deep research by aggregating real-time data from multiple sources, evaluating source credibility, and generating comprehensive reports.
Enables iterative deep research by integrating AI agents with search engines, web scraping, and large language models for efficient data gathering and comprehensive reporting.
Evidence-backed web research for AI agents. Real-time search with cited claims, confidence scores, and compare mode showing raw LLM hallucination vs evidence-backed answers.
Provides AI agents with a comprehensive web intelligence stack including crawling, private search via SearXNG, and intelligent RAG capabilities for focused content extraction. It supports advanced features like semantic vector search and knowledge graph integration for code validation to enhance AI performance and reliability.
Enables AI assistants to perform comprehensive web research through tiered search, secure URL fetching with markdown conversion, and automated multi-source synthesis pipelines. Provides read-only tools with configurable caching, SSRF protection, and optional LLM-powered summarization for search results and content analysis.