company-research
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ChineseCompany Research
企业调研
Tool Restriction (Critical)
工具限制(重要)
ONLY use . Do NOT use or any other Exa tools.
web_search_advanced_exaweb_search_exa仅可使用。禁止使用或其他任何Exa工具。
web_search_advanced_exaweb_search_exaToken Isolation (Critical)
令牌隔离(重要)
Never run Exa searches in main context. Always spawn Task agents:
- Agent runs Exa search internally
- Agent processes results using LLM intelligence
- Agent returns only distilled output (compact JSON or brief markdown)
- Main context stays clean regardless of search volume
切勿在主上下文环境中运行Exa搜索,务必生成任务Agent:
- Agent在内部运行Exa搜索
- Agent利用LLM智能处理结果
- Agent仅返回提炼后的输出内容(简洁JSON或简短markdown格式)
- 无论搜索量多少,主上下文始终保持整洁
Dynamic Tuning
动态调优
No hardcoded numResults. Tune to user intent:
- User says "a few" → 10-20
- User says "comprehensive" → 50-100
- User specifies number → match it
- Ambiguous? Ask: "How many companies would you like?"
不要硬编码numResults参数,需根据用户需求调整:
- 用户说"一些" → 10-20条结果
- 用户说"全面的" → 50-100条结果
- 用户指定数量 → 匹配该数量
- 需求不明确时?询问:"您需要查找多少家企业?"
Query Variation
查询变体
Exa returns different results for different phrasings. For coverage:
- Generate 2-3 query variations
- Run in parallel
- Merge and deduplicate
不同的措辞会让Exa返回不同的结果。为确保覆盖全面:
- 生成2-3种查询变体
- 并行运行查询
- 合并结果并去重
Categories
分类
Use appropriate Exa depending on what you need:
category- → homepages, rich metadata (headcount, location, funding, revenue)
company - → press coverage, announcements
news - → social presence, public commentary
tweet - → LinkedIn profiles (public data)
people - No category () → general web results, deep dives, broader context
type: "auto"
Start with for discovery, then use other categories or no category with for deeper research.
category: "company"livecrawl: "fallback"根据需求选择合适的Exa 参数:
category- → 企业官网、丰富元数据(员工数量、地理位置、融资情况、营收)
company - → 媒体报道、公告
news - → 社交动态、公众评论
tweet - → LinkedIn档案(公开数据)
people - 不设置分类()→ 通用网页结果、深度调研、更广泛的上下文信息
type: "auto"
初始调研时使用,后续如需深度调研,可使用其他分类或不设置分类并搭配参数。
category: "company"livecrawl: "fallback"Category-Specific Filter Restrictions
分类专属过滤限制
When using , these parameters cause 400 errors:
category: "company"- /
includeDomainsexcludeDomains - /
startPublishedDateendPublishedDate - /
startCrawlDateendCrawlDate
When searching without a category (or with ), domain and date filters work fine.
newsUniversal restriction: and only support single-item arrays. Multi-item arrays cause 400 errors across all categories.
includeTextexcludeText当使用时,以下参数会导致400错误:
category: "company"- /
includeDomainsexcludeDomains - /
startPublishedDateendPublishedDate - /
startCrawlDateendCrawlDate
不设置分类(或使用分类)时,域名和日期过滤可正常使用。
news通用限制:和仅支持单元素数组。多元素数组会在所有分类下导致400错误。
includeTextexcludeTextLinkedIn数据获取
Public LinkedIn via Exa: , no other filters.
Auth-required LinkedIn → use Claude in Chrome browser fallback.
category: "people"通过Exa获取公开LinkedIn数据:使用,不添加其他过滤条件。
如需获取需授权的LinkedIn内容→ 退而使用Chrome浏览器中的Claude。
category: "people"Browser Fallback
浏览器Fallback方案
Auto-fallback to Claude in Chrome when:
- Exa returns insufficient results
- Content is auth-gated
- Dynamic pages need JavaScript
出现以下情况时自动切换为Chrome浏览器中的Claude:
- Exa返回的结果不足
- 内容需要授权访问
- 动态页面需要JavaScript支持
Examples
示例
Discovery: find companies in a space
发现:查找某领域的企业
web_search_advanced_exa {
"query": "AI infrastructure startups San Francisco",
"category": "company",
"numResults": 20,
"type": "auto"
}web_search_advanced_exa {
"query": "AI infrastructure startups San Francisco",
"category": "company",
"numResults": 20,
"type": "auto"
}Deep dive: research a specific company
深度调研:研究特定企业
web_search_advanced_exa {
"query": "Anthropic funding rounds valuation 2024",
"type": "deep",
"livecrawl": "fallback",
"numResults": 10,
"includeDomains": ["techcrunch.com", "crunchbase.com", "bloomberg.com"]
}web_search_advanced_exa {
"query": "Anthropic funding rounds valuation 2024",
"type": "deep",
"livecrawl": "fallback",
"numResults": 10,
"includeDomains": ["techcrunch.com", "crunchbase.com", "bloomberg.com"]
}News coverage
新闻报道调研
web_search_advanced_exa {
"query": "Anthropic AI safety",
"category": "news",
"numResults": 15,
"startPublishedDate": "2024-01-01"
}web_search_advanced_exa {
"query": "Anthropic AI safety",
"category": "news",
"numResults": 15,
"startPublishedDate": "2024-01-01"
}LinkedIn profiles
LinkedIn档案查找
web_search_advanced_exa {
"query": "VP Engineering AI infrastructure",
"category": "people",
"numResults": 20
}web_search_advanced_exa {
"query": "VP Engineering AI infrastructure",
"category": "people",
"numResults": 20
}Output Format
输出格式
Return:
- Results (structured list; one company per row)
- Sources (URLs; 1-line relevance each)
- Notes (uncertainty/conflicts)
返回内容要求:
- 结果(结构化列表;每行一家企业)
- 来源(URL;每条来源配一行相关性说明)
- 备注(不确定性/冲突信息)