exa-research

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Use when researching products, finding academic papers, discovering competitors, reading webpage content, or getting cited answers grounded in real web sources. Use over generic search when semantic relevance matters.

AI & Automation 395 stars 41 forks Updated yesterday MIT

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Skill Content

# Exa Research Neural web search via BlockRun. Understands meaning, not keywords. Four distinct actions for different research modes. ## How to Call from MCP As of v0.14.1 the `blockrun_exa` tool is path-based. Pass the endpoint name as `path` and the request as `body`: ```ts blockrun_exa({ path: "search", body: { query: "AI agent frameworks 2026", numResults: 10 } }) blockrun_exa({ path: "answer", body: { query: "What is speculative decoding?" } }) blockrun_exa({ path: "contents", body: { urls: ["https://example.com/a", "https://example.com/b"] } }) blockrun_exa({ path: "find-similar", body: { url: "https://arxiv.org/abs/2401.12345", numResults: 5 } }) ``` ## Quick Decision Table Costs below are what you are actually CHARGED — the $0.001 transaction fee is already included (it applies once per call, not per result). | User wants... | Path | Body | Cost | |--------------|------|------|------| | Relevant URLs on a topic | `search` | `{ query, numResults?, category? }` | $0.0110/call | | Cited answer to a question | `answer` | `{ query }` | $0.0110/call | | Full text of URLs | `contents` | `{ urls: [...] }` | $0.002/URL + $0.001 → 1 URL $0.0030, 3 URLs $0.0070 | | Pages like a given URL | `find-similar` | `{ url, numResults? }` | $0.0110/call | | Recent news | `search` + `category: "news"` | – | $0.0110/call | | Academic papers | `search` + `category: "research paper"` | – | $0.0110/call | | Company info | `search` + `category: "company"` | – | $0.0110/ca...

Details

Author
BlockRunAI
Repository
BlockRunAI/blockrun-mcp
Created
8 months ago
Last Updated
yesterday
Language
TypeScript
License
MIT

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