Agentic Search by Liner

Liner is an agentic AI search that finds, verifies, and summarizes answers with real-time web data and cited sources. Ask a question and Liner searches the live web, scrapes and crawls current pages, and returns a grounded answer you can fact-check against the original source — the latest news and up-to-date information, not stale training data. Use Liner to: - Search the real-time web and get verified, cited answers - Summarize PDFs, research papers, and long documents - Fact-check and verify claims against primary sources - Find and read academic papers and scholarly research - Get the latest news and up-to-date information on any topic - Create market, company, or product briefs - Compare viewpoints across multiple sources - Turn a broad question into a structured, cited report Built for agents and builders: Liner works as a grounded search and retrieval layer for AI agents, MCP workflows, and anyone building with real-time information. A reliable alternative to Exa, Tavily, Elicit, SciSpace, and Scite for search, retrieval, and academic discovery. Liner covers web search, academic search, fact-checking, summarization, PDF reading, paper discovery, real-time news, scraping, and crawling — all with verifiable citations. Need a fast cited answer or a full report? Liner does both — quick research for speed, deep research when you need more context before a decision. Also available as an API, so teams building AI products can tap the same search and research capabilities directly.