exa-plus

# Exa - Neural Web Search Powerful AI-powered search with LinkedIn, news, research papers, and more. ## Setup Set `EXA_API_KEY` in your environment (e.g. `~/.env.local`): ```bash export EXA_API_KEY="your-exa-api-key" ``` Fallback: `~/.clawdbot/credentials/exa/config.json` with `{"apiKey": "..."}` ## Commands ### General Search ```bash bash scripts/search.sh "query" [options] ``` Options (as env vars): - `NUM=10` - Number of results (max 100) - `TYPE=auto` - Search type: auto, neural, fast, deep - `CATEGORY=` - Category: news, company, people, research paper, github, tweet, pdf, financial report - `DOMAINS=` - Include domains (comma-separated) - `EXCLUDE=` - Exclude domains (comma-separated) - `SINCE=` - Published after (ISO date) - `UNTIL=` - Published before (ISO date) - `LOCATION=NL` - User location (country code) ### Examples ```bash # Basic search bash scripts/search.sh "AI agents 2024" # LinkedIn people search CATEGORY=people bash scripts/search.sh "software engineer Amsterdam" # Company search CATEGORY=company bash scripts/search.sh "fintech startup Netherlands" # News from specific domain CATEGORY=news DOMAINS="reuters.com,bbc.com" bash scripts/search.sh "Netherlands" # Research papers CATEGORY="research paper" bash scripts/search.sh "transformer architecture" # Deep search (comprehensive) TYPE=deep bash scripts/search.sh "climate change solutions" # Date-filtered news CATEGORY=news SINCE="2026-01-01" bash scripts/search.sh "tech layoffs" ``` ### Get Content Extract full text from URLs: ```bash bash scripts/content.sh "url1" "url2" ``` ## Related Search Tools **exa-plus specializes in neural search (people, companies, research). For other needs:** | Tool | Specialty | Use When | |------|-----------|----------| | **exa-plus** (this) | Neural web, GitHub, LinkedIn, papers | People/company search, academic research | | **valyu** | Recursive turn-based research | `valyu research "query" --turns 5` | | **deep-research** | Multi-query Tavily synthesis | `deep-research "query" --deep` | | **lev-research** | Multi-perspective orchestration | `lev-research "query"` | | **lev-find** | Unified local + external | `lev find "query" --scope=research` | | **brave-search** | Quick web search | `brave-search "query"` | | **tavily-search** | AI-optimized snippets | `tavily-search "query"` | | **grok-research** | Real-time X/Twitter | `grok-research "query"` | | **firecrawl** | Web scraping | `firecrawl scrape <url>` | | **qmd** | Local session search | `qmd query "query"` | **Exa's unique capabilities:** - ✅ LinkedIn people search (`CATEGORY=people`) - ✅ Company research (`CATEGORY=company`) - ✅ Research papers (`CATEGORY="research paper"`) - ✅ GitHub code search (`CATEGORY=github`) - ✅ Neural semantic search (not just keywords) - ❌ General web (use brave-search or tavily-search) - ❌ Turn-based refinement (use valyu) **Integration pattern:** ```bash # 1. Find people/companies with Exa CATEGORY=people exa search "ML engineer Amsterdam" # 2. Deep research on findings valyu research "machine learning hiring trends" --turns 5 ``` See `skill://lev-research` for comprehensive research workflows.