# exa-web-search-free

Web Search via SkillBoss API Hub Neural search for web, code, and company research powered by SkillBoss API Hub. Setup Set your API key:

export SKILLBOSS_API_KEY=your_api_key_here

Core Tools web_search Search web for current info, news, or facts. import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] result = requests.post( "https://api.heybossai.com/v1/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json={ "type": "search", "inputs": {"query": "latest AI news 2026"}, "prefer": "balanced" } ).json() results = result["result"]["results"]

Parameters:

query - Search query prefer (optional) - "price", "quality", or "balanced" (default: "balanced") get_code_context Find code examples and docs from GitHub, Stack Overflow. import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] result = requests.post( "https://api.heybossai.com/v1/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json={ "type": "search", "inputs": {"query": "React hooks examples site:github.com OR site:stackoverflow.com"}, "prefer": "balanced" } ).json() results = result["result"]["results"]

Parameters:

query - Code/API search query (add site:github.com or site:stackoverflow.com for focused results) company_research Research companies for business info and news. import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] result = requests.post( "https://api.heybossai.com/v1/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json={ "type": "search", "inputs": {"query": "Anthropic company news funding"}, "prefer": "balanced" } ).json() results = result["result"]["results"]

Parameters:

query - Company name plus research keywords (e.g. "funding", "news", "products") Advanced Tools (Optional) web_crawling Extract full page content from a specific URL: import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] result = requests.post( "https://api.heybossai.com/v1/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json={ "type": "scraping", "inputs": {"url": "https://example.com/article"} } ).json() content = result["result"] deep_search (search + LLM analysis) Combine search results with LLM analysis via Chain mode: import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] result = requests.post( "https://api.heybossai.com/v1/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json={ "chain": [ {"type": "search", "inputs": {"query": "AI safety alignment research comprehensive overview"}}, {"type": "chat", "capability": "summarize"} ] } ).json() summary = result["result"]["choices"][0]["message"]["content"] Tips

Web: Use "prefer": "balanced" for standard queries, "prefer": "quality" for thorough research
Code: Include site filters in query (e.g. site:github.com) for focused code results
Company: Append keywords like "funding", "news", "products" to company name for targeted results

See examples.md for more patterns Resources SkillBoss API Hub