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Use for generic Exa Search API research. Provides auth, request-shape, date-filter, batching, highlights, error-handling, and compact JSON evidence guidance for arbitrary caller-supplied queries. Query-agnostic; does not decide what to search for.
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Baseado na classificação ocupacional SOC
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| name | exa-search |
| description | Use for generic Exa Search API research. Provides auth, request-shape, date-filter, batching, highlights, error-handling, and compact JSON evidence guidance for arbitrary caller-supplied queries. Query-agnostic; does not decide what to search for. |
Use Exa as a source-backed web search adapter. The caller decides the research question and query text. This skill explains how to execute Exa Search API calls and return compact evidence.
Do not use Exa MCP. Do not require an Exa CLI.
Use EXA_API_KEY and never print its value.
curl -fsS "https://api.exa.ai/search" \
-H "Content-Type: application/json" \
-H "x-api-key: $EXA_API_KEY" \
-d '{"query":"<caller supplied query>","type":"fast","numResults":8,"contents":{"highlights":{"maxCharacters":500}}}'
type: "fast" for first-pass research.numResults between 5 and 10 unless the caller asks otherwise.contents.highlights for token-efficient evidence.category: "news" only when the caller explicitly wants news-like recency.category: "company" unless the caller asks for company research.moderation: true when the caller needs safer public web results.Example request body:
{
"query": "<caller supplied query>",
"type": "fast",
"numResults": 8,
"moderation": true,
"startPublishedDate": "2026-06-03T00:00:00.000Z",
"endPublishedDate": "2026-06-04T23:59:59.999Z",
"contents": {
"highlights": {
"maxCharacters": 500
},
"livecrawlTimeout": 5000
}
}
When the caller supplies multiple query angles or topics, run independent Exa calls in parallel when practical. Keep the merged return compact; do not dump raw result sets into the parent context.
Parallelism is API-level. Do not spawn additional Codex subagents from this skill.
Return compact JSON-like evidence:
{
"source": "exa",
"queriesRun": 2,
"evidence": [
{
"query": "<query that found this>",
"title": "Source title",
"url": "https://example.com/story",
"publishedDate": "2026-06-04T00:00:00.000Z",
"highlight": "Short relevant excerpt or summary",
"sourceDomain": "example.com"
}
],
"errors": []
}