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@joemccann/pi-exa

v1.0.0

Published

Exa AI semantic search and similarity tools for pi coding agent — search the web by meaning, find similar pages, filter by domain/date/category

Readme

pi-exa

Exa AI semantic search, similarity discovery, and content extraction for pi.

Install

pi install npm:@joemccann/pi-exa

Or try without installing:

pi -e npm:@joemccann/pi-exa

Setup

Set the EXA_API_KEY environment variable. Get a key at dashboard.exa.ai.

export EXA_API_KEY=your-key-here

Tools

| Tool | Description | |------|-------------| | exa_search | Semantic web search — find pages by meaning, not keywords | | exa_find_similar | Find pages similar to a URL — competitors, related content | | exa_get_contents | Extract clean text from URLs — more reliable than scraping |

exa_search

Semantic search with filtering by domain, date, category, and search mode.

Search types:

  • auto — Default, picks the best mode
  • fast — Sub-350ms responses
  • neural — Embedding-based semantic search
  • deep — Multi-step reasoning for complex questions

Categories: company, research paper, news, tweet, personal site, financial report

Content options: includeText, includeSummary, includeHighlights (default: true)

exa_find_similar

Finds pages semantically similar to a given URL. Pass a company site to find competitors, an article to find related content, or a product page to find alternatives.

exa_get_contents

Extracts clean, parsed content from one or more URLs in a single API call. Returns text, highlights, and/or AI summaries.

Examples

> Search for recent AI safety research papers

> Find companies similar to Stripe

> Extract the main content from these three URLs

Development

git clone https://github.com/joemccann/pi-exa
cd pi-exa
npm test

Test locally with pi

pi -e /path/to/pi-exa

License

MIT