# Exa Company Research

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

- Skill: `layneformalized225/exa-company-research` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add layneformalized225/exa-company-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/layneformalized225/exa-company-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: Layneformalized225 (https://skillmd.com/u/layneformalized225)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/layneformalized225/exa-company-research

---


# Company Research (Exa)

## Tool

Use `exec` to call: `mcporter call exa-search.web_search_advanced_exa <params>`

All searches run via mcporter CLI. Never call Exa directly — always use mcporter.

## Critical Rules

- **Never run searches in main context.** Always spawn subagents via `llm_task` or run in sequence with isolated results.
- **Query variation:** generate 2-3 phrasings, run in parallel, merge + deduplicate.
- **Dynamic numResults:** "a few" → 10-20, "comprehensive" → 50-100, explicit number → match it.

## Categories

| Category | Use for |
|----------|---------|
| `company` | Homepages, metadata (headcount, location, funding) |
| `news` | Press coverage, announcements |
| `tweet` | Social presence |
| `people` | LinkedIn profiles |
| _(none)_ | General web, deep dives |

**Start with `category=company`** for discovery, then use other categories for deeper research.

### Category Restrictions

With `category=company`: do NOT use `includeDomains`, `excludeDomains`, or date filters — causes errors.
`includeText`/`excludeText`: only single-value strings.

## Call Syntax

```bash
# Company discovery
mcporter call exa-search.web_search_advanced_exa \
  query="AI infrastructure startups San Francisco" \
  category=company \
  numResults=20 \
  type=auto

# Deep dive on specific company
mcporter call exa-search.web_search_advanced_exa \
  query="Anthropic funding rounds valuation 2024" \
  type=neural \
  livecrawl=fallback \
  numResults=10 \
  includeDomains='["techcrunch.com","crunchbase.com","bloomberg.com"]'

# News coverage
mcporter call exa-search.web_search_advanced_exa \
  query="Anthropic AI safety 2024" \
  category=news \
  numResults=15 \
  startPublishedDate=2024-01-01

# Tweets/social
mcporter call exa-search.web_search_advanced_exa \
  query="Anthropic Claude new features" \
  category=tweet \
  numResults=20
```

## Output Format

Return:
1. Results — structured list, one company per row (name, URL, description, key facts)
2. Sources — URLs with 1-line relevance
3. Notes — any uncertainty or conflicts

## Browser Fallback

If Exa returns insufficient results or content is auth-gated → use `browser` tool as fallback.