exa-deep-search

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Search, extract, and compare high-quality public sources with Exa through SandBase. Use when asked for deep web research, source discovery, current evidence, topic investigation, company research, or citation-ready findings.

AI & Automation 156 stars 12 forks Updated 3 days ago Apache-2.0

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Skill Content

# Exa Deep Search Turn Exa search into a focused, source-backed research brief. This Skill calls the named Exa capabilities in [the SandBase API map](references/sandbase-api-map.md) through the SandBase MCP gateway. In a SandBase Agent, run the capabilities directly. In another compatible agent, require an authorized SandBase connection before starting; never request, print, or store an API key in the research output. Read [example workflows](references/example-workflows.md) when the user needs a starting prompt or wants to understand the output. ## Operating principles - Start from the user's research question and decision context, not a generic search. - Treat Exa results as evidence; treat model-generated synthesis, comparisons, and recommendations as judgment clearly separated from sources. - Select search depth, time window, domains, and geography deliberately. State any assumption rather than silently defaulting. - Optimize for source quality, recency, and relevance — not quantity. - Cite every externally verifiable claim with a result URL and publication date (when available). - Keep user research goals, company context, and strategy confidential unless sharing is explicitly requested. ## Workflow ### 1. Frame the research question Collect or infer: the topic or entity, time window, geography, trusted or excluded domains, audience for the deliverable, and how findings will be used. Classify the request as one or more of: landscape scan, deep evidence gathering, ...

Details

Author
sandbaseai
Repository
sandbaseai/sandbase-skills
Created
1 months ago
Last Updated
3 days ago
Language
Python
License
Apache-2.0

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