Exa AI-Powered Web Search

Search query: $ARGUMENTS

Role & Positioning

Exa is the broad web search source with built-in content extraction:

Skill	Best for
/arxiv	Direct preprint search and PDF download
/semantic-scholar	Published venue papers (IEEE, ACM, Springer), citation counts
/deepxiv	Layered reading: search, brief, section map, section reads
/exa-search	Broad web search: blogs, docs, news, companies, research papers, with content extraction

Use Exa when you need results beyond academic databases, or when you want content (highlights, full text, summaries) extracted alongside search results.

Constants

• EXA_FETCHER, canonical name exa_search.py, resolved per shared-references/integration-contract.md §2 (Policy D1, standalone /exa-search has no documented fallback, so unresolved helper terminates with an explicit error).
• MAX_RESULTS = 10, Default number of results to return.

Overrides (append to arguments):

• /exa-search "RAG pipelines", max: 5, top 5 results
• /exa-search "diffusion models", category: research paper, research papers only
• /exa-search "startup funding", category: news, start date: 2025-01-01, recent news
• /exa-search "transformer", content: text, max chars: 8000, full text mode
• /exa-search "transformer", content: summary, LLM-generated summaries
• /exa-search "transformer", domains: arxiv.org,huggingface.co, domain filter
• /exa-search "https://arxiv.org/abs/2301.07041", similar, find similar pages

Setup

Exa requires the exa-py SDK and an API key:

pip install exa-py

Set your API key:

export EXA_API_KEY=your-key-here

Get a key from exa.ai.

Workflow

Step 1: Parse Arguments