Agent skill

exa-entities

Exa.ai company and people search for lead generation, competitive intelligence, and data enrichment. Use when searching for companies, finding people profiles, building lead gen tools, or implementing Websets for data collection at scale. Triggers on: Exa company search, Exa people search, category company, lead generation, company research, profile search, LinkedIn profiles, Websets API, data enrichment, company lookup, find companies, competitive intelligence, recruiting, talent search, 1B profiles.

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npx add-skill https://github.com/ejirocodes/agent-skills/tree/main/exa/skills/exa-entities

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Additional technical details for this skill

author
ejirocodes
version
1.0.0

SKILL.md

Exa Entity Search

Quick Reference

Topic When to Use Reference
Company Search Finding companies, competitive research company-search.md
People Search Finding profiles, recruiting people-search.md
Websets Data collection at scale, monitoring websets.md

Essential Patterns

Company Search

python
from exa_py import Exa

exa = Exa()

results = exa.search_and_contents(
    "AI startups in healthcare series A funding",
    category="company",
    num_results=20,
    text=True
)

for company in results.results:
    print(f"{company.title}: {company.url}")

People Search

python
results = exa.search_and_contents(
    "machine learning engineers San Francisco",
    category="linkedin_profile",
    num_results=20,
    text=True
)

for profile in results.results:
    print(f"{profile.title}: {profile.url}")

Websets for Lead Generation

python
# Create a webset for company collection
webset = exa.websets.create(
    name="AI Healthcare Companies",
    search_query="AI healthcare startups",
    category="company",
    max_results=100
)

# Monitor for new matches
exa.websets.add_monitor(
    webset_id=webset.id,
    schedule="daily"
)

Category Reference

Category Use Case Index Size
company Company websites, about pages Millions
linkedin_profile Professional profiles 1B+ profiles
personal_site Individual blogs, portfolios Millions
github Repositories, developer profiles Millions

Common Mistakes

  1. Not using category filter - Always set category="company" or category="linkedin_profile" for entity search
  2. Expecting structured data - Exa returns web pages; parse text for structured fields
  3. Over-broad queries - Add location, industry, or role specifics for better results
  4. Ignoring rate limits - Batch requests and implement backoff for large-scale collection
  5. Missing domain filters - Use include_domains=["linkedin.com"] for profile-only results

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