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Get AI-synthesized research on any topic with citations, directly in your terminal. Supports structured JSON output for pipelines. Use when you need comprehensive research grounded in web data without writing code.
npx skill4agent add tavily-ai/skills research~/.claude/settings.json{
"env": {
"TAVILY_API_KEY": "tvly-your-api-key-here"
}
}Tip: Research can take 30-120 seconds. Press Ctrl+B to run in the background.
./scripts/research.sh '<json>' [output_file]# Basic research
./scripts/research.sh '{"input": "quantum computing trends"}'
# With pro model for comprehensive analysis
./scripts/research.sh '{"input": "AI agents comparison", "model": "pro"}'
# Save to file
./scripts/research.sh '{"input": "market analysis for EVs", "model": "pro"}' ./ev-report.md
# With custom citation format
./scripts/research.sh '{"input": "climate change impacts", "model": "mini", "citation_format": "apa"}'
# With structured output schema
./scripts/research.sh '{"input": "fintech startups 2025", "model": "pro", "output_schema": {"properties": {"summary": {"type": "string"}, "companies": {"type": "array", "items": {"type": "string"}}}, "required": ["summary"]}}'curl --request POST \
--url https://api.tavily.com/research \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"input": "Latest developments in quantum computing",
"model": "mini",
"stream": false,
"citation_format": "numbered"
}'Note: Streaming is disabled for token management. The call waits until research completes and returns clean JSON.
curl --request POST \
--url https://api.tavily.com/research \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"input": "Electric vehicle market analysis",
"model": "pro",
"stream": false,
"citation_format": "numbered",
"output_schema": {
"properties": {
"market_overview": {
"type": "string",
"description": "2-3 sentence overview of the market"
},
"key_players": {
"type": "array",
"description": "Major companies in this market",
"items": {
"type": "object",
"properties": {
"name": {"type": "string", "description": "Company name"},
"market_share": {"type": "string", "description": "Approximate market share"}
},
"required": ["name"]
}
}
},
"required": ["market_overview", "key_players"]
}
}'POST https://api.tavily.com/research| Header | Value |
|---|---|
| |
| |
| Field | Type | Default | Description |
|---|---|---|---|
| string | Required | Research topic or question |
| string | | Model: |
| boolean | | Streaming disabled for token management |
| object | null | JSON schema for structured output |
| string | | Citation format: |
stream: false{
"content": "# Research Results\n\n...",
"sources": [{"url": "https://...", "title": "Source Title"}],
"response_time": 45.2
}| Model | Use Case | Speed |
|---|---|---|
| Single topic, targeted research | ~30s |
| Comprehensive multi-angle analysis | ~60-120s |
| API chooses based on complexity | Varies |
typedescription{
"properties": {
"summary": {
"type": "string",
"description": "2-3 sentence executive summary"
},
"key_points": {
"type": "array",
"description": "Main takeaways",
"items": {"type": "string"}
}
},
"required": ["summary", "key_points"]
}curl --request POST \
--url https://api.tavily.com/research \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"input": "Fintech startup landscape 2025",
"model": "pro",
"stream": false,
"citation_format": "numbered",
"output_schema": {
"properties": {
"market_overview": {"type": "string", "description": "Executive summary of fintech market"},
"top_startups": {
"type": "array",
"description": "Notable fintech startups",
"items": {
"type": "object",
"properties": {
"name": {"type": "string", "description": "Startup name"},
"focus": {"type": "string", "description": "Primary business focus"},
"funding": {"type": "string", "description": "Total funding raised"}
},
"required": ["name", "focus"]
}
},
"trends": {"type": "array", "description": "Key market trends", "items": {"type": "string"}}
},
"required": ["market_overview", "top_startups"]
}
}'curl --request POST \
--url https://api.tavily.com/research \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"input": "LangGraph vs CrewAI for multi-agent systems",
"model": "pro",
"stream": false,
"citation_format": "mla"
}'curl --request POST \
--url https://api.tavily.com/research \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"input": "What is retrieval augmented generation?",
"model": "mini",
"stream": false
}'