Search the web semantically and return cited sources via Exa API.
npx skills add https://github.com/BlockRunAI/blockrun-mcp --skill exa-research-blockrunai
Please help me install this Agent Skill. Skill: exa-research Source: https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/exa-research Command: npx skills add https://github.com/BlockRunAI/blockrun-mcp --skill exa-research-blockrunai
Neural web search often yields keyword-focused results without grounding. Exa Research enables semantic web search with grounded sources for reliable, citation-backed answers across products, papers, competitors, and web content.
Ask Exa Research to locate recent papers and credible sources about your topic and return a grounded, cited summary.
High-intent search queries and answers about installing and using this skill.
Semantic web search finds credible web sources and citations for academic research by applying neural search to locate relevant papers and content with grounded source URLs.
Yes, after running a semantic search you can fetch the full text contents of the discovered URLs to provide deeper context for your research queries and citation-backed summaries.
Use the find-similar functionality to discover related sites or competitors by locating web pages semantically similar to a known URL, delivering grounded results for competitive analysis.
Semantic web search supports category filtering to narrow results across product research, academic literature, competitive analysis, and content discovery where semantic relevance matters.
Use the answer API path to generate grounded answers with a list of sources, moving beyond keyword-focused results by applying neural search to return citation-backed responses.
Neural web search for content discovery requires clear cost models and category filtering to manage API usage, and relies on semantic relevance which may miss exact keyword matches.
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