company-research

Company research using Exa. Finds company info, competitors, news, financials, LinkedIn profiles, builds company lists. Use when researching companies, doing competitor analysis, market research, or building company lists.

By exa-labs · 412 installs

npx skills add exa-labs/agent-skills --skill company-research

Source repository · Upstream listing

Company Research Tool Selection (Critical) Two Exa surfaces, two jobs: Exa Agent ( agent run ) — the default for company research. Use it for deep dives, competitor analysis, multi angle research (product + funding + news + people), and building company lists. One Agent run handles query decomposition, multi step searching, and synthesis internally — do not orchestrate many manual searches for work an Agent run covers. web search advanced exa — quick, low latency lookups: a fast category: "company" discovery pass, a single news check, or finding a homepage. Do NOT use other Exa tools. Deep Dives and Lists: Exa Agent Agent runs may stream to completion in one call. If a run outlives the MCP call window, continue waiting with its returned run ID. 1. Call agent run with a natural language query and, when you want repeatable structure, an outputSchema (bound arrays with maxItems ). 2. If it returns status: "running" with a runId , call agent run again with only that runId until outputReady is true. 3. Read output.text or output.structured , plus output.grounding citations, from the agent run result. Useful inputs: systemPrompt (source preferences, dedup rules), input.exclusion (companies to avoid), previousRunId (a new follow up run based on a completed run), effort ( "low" default; "auto" or "high" for more depth). Example: company deep dive Example: build a company list Quick Lookups: Advanced Search Use web search advanced exa when a single fast search answers the question. Tune numResults to intent (a few → 10 20; comprehensive → 50 100; specified → match it). Categories company → homepages, rich metadata (headcount, location, funding, revenue) news → press coverage, announcements people → public professional profiles No category ( type: "auto" ) → general web results, broader context Default to type: "auto" . Prefer highlights for content extraction; do not stack text + highlights + summary in one call. Category Specific Filter Restrictions Unsupported category/filter combinations return 400 errors: category: "company" does not support published date or crawl date filters, excludeDomains , or exact text filters; express constraints like "founded after 2020" in the query instead category: "people" does not support published date, crawl date, domain, or exact text filters; put all filtering in the natural language query Without a category (or with news ), domain and date filters work fine Examples Discovery pass: News check: Key people: Token Isolation Never dump raw search results into main context. Spawn Task agents for Advanced Search calls; for Agent runs, go straight from output.structured to the final answer. Browser Fallback Fall back to Claude in Chrome only when content is auth gated or requires JavaScript rendering. Output Format Return: 1) Results (structured list; one company per row) 2) Sources (URLs; 1 line relevance each — use output.grounding from Agent runs) 3) Notes (uncertainty/conflicts) References Exa Agent guide: https://docs.exa.ai/reference/agent api guide Company Search reference: https://docs.exa.ai/reference/verticals/company for coding agents Exa MCP setup: https://docs.exa.ai/reference/exa mcp Full docs for LLMs: https://docs.exa.ai/llms.txt