exa-research

# 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 | User wants... | Path | Body | Cost | |--------------|------|------|------| | Relevant URLs on a topic | `search` | `{ query, numResults?, category? }` | $0.01/call | | Cited answer to a question | `answer` | `{ query }` | $0.01/call | | Full text of URLs | `contents` | `{ urls: [...] }` | $0.002/URL | | Pages like a given URL | `find-similar` | `{ url, numResults? }` | $0.01/call | | Recent news | `search` + `category: "news"` | – | $0.01/call | | Academic papers | `search` + `category: "research paper"` | – | $0.01/call | | Company info | `search` + `category: "company"` | – | $0.01/call | Valid `category` values for `search`: `"news"`, `"research paper"`, `"company"`, `"tweet"`, `"github"`, `"pdf"`. ## Python SDK Instructions ### 1. Initialize (Python SDK) ```python fro...