multi-source-search

# Multi-Source Search Parallel multi-source research through SandBase. Query multiple search backends simultaneously, cross-validate findings, and deliver comprehensive research with confidence scoring. Read [the API map](references/sandbase-api-map.md) before selecting a capability. ## Call SandBase capabilities For every selected tool, call `sandbase_describe_tool` first and use only arguments in its current input schema. Then call `sandbase_call_tool` with the exact `tool_name`. ## Operating principles - Use multiple sources to validate claims — single-source findings are hypotheses. - Score confidence based on source agreement: 3+ sources = high, 2 = medium, 1 = low. - Each source has strengths: Exa for semantic relevance, Tavily for recency, Scholar for academic rigor, Cloudsway for broad coverage. - Cite which source(s) back each finding. ## Workflow ### 1. Search across sources Use `tavily_search` for current web results with recency control. Use `exa_search` for semantic, high-quality source discovery. Use `scholar_search_mixed` for academic and web combined. Use `cloudsway_search` for broad web coverage. ### 2. Deep extraction (if needed) Use `exa_contents` to extract content from selected Exa results. Use `tavily_extract` to extract content from selected URLs. ### 3. Synthesize Cross-reference findings, note agreements and disagreements, produce confidence-scored summary. ## Output Return: findings organized by confidence level, source map, agreements/...