Academic Research

Academic paper search and research synthesis through SandBase. Find scholarly articles, search across academic databases, and get AI-powered explanations of findings. Read the API map before selecting a capability.

Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

Operating principles

• Distinguish peer-reviewed sources from preprints and working papers.
• Cite papers with title, authors, year, and source.
• Use academic search for evidence-based claims; use web search for current context.
• Note publication recency — older papers may not reflect current consensus.

Workflow

1. Search academic literature

Use scholar_search_scholar for pure academic/scholarly results. Use scholar_search_web for broader web-inclusive academic search. Use scholar_search_mixed for combined academic + web results (best default).

2. Analyze and explain

Use scholar_explain to get AI-powered confidence-scored explanations of research findings.

Output

Return: paper citations (title, authors, year, source), key findings, methodology notes, evidence strength, and research gaps.

Example tasks

• "Find recent academic papers about [topic] published in the last 2 years."
• "What does the research say about [question]? Cite the key studies."
• "Find papers comparing [approach A] vs [approach B] in [field]."
• "Literature review on [topic] — give me the top 10 papers with summaries."
• "What's the current scientific consensus on [claim]?"