People

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Data categories

• Profile — name, tagline, about, location, profile picture, LinkedIn follower and connection counts.
• Career history — experience[]: companies, titles, tenure, and progression (is_current, job_order).
• Education — education[]: institutions, degrees, and fields of study.
• Skills & attributes — skills, languages, seniority, years of experience, education level.
• Signals — talent_signal_ids, and investor_signal_ids (usable in investor endpoints when available).
• Social links — LinkedIn, Twitter and GitHub URLs, plus linkedin_num_id and linkedin_urn.

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Highlights

• prior_exit — founded or was part of a company with a successful exit.
• serial_founder — founded more than one company.
• prior_vc_backed_founder — previously founded a venture-backed company.
• prior_vc_backed_experience — worked at a venture-backed company.

{
  "person_id": "per_7f8d9e2a1b3c4d5e6f7g8h9i0",
  "full_name": "Sarah Chen",
  "tagline": "AI Researcher | Ex-Google | Founder of VisionAI (Acquired by NVIDIA)",
  "location": "San Francisco, California, United States",
  "current_position_title": "Senior Research Scientist",
  "current_position_company_name": "Google AI",
  "highlights": ["prior_exit", "serial_founder"],
  "talent_signal_ids": ["02d32673-f1ab-40a1-93c5-a3a36a10d342"],
  "linkedin_url": "https://www.linkedin.com/in/sarahchen9776"
}

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Endpoints

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How to use the API

• LinkedIn URL or identifier → Enrich people.
• Email → Reverse email lookup.
• Name → Search person name → take the person_id.

• Full profile → Get person info by ID.
• Verified email → Get person’s email.
• Signals → follow talent_signal_ids (and investor_signal_ids, when available) to the signal endpoints — Get Talent Signal by ID and Get Investor Interest Signal by ID.
• Current employer → take company_id from the current experience[] entry (is_current: true) → Get company by ID (the profile carries the current company’s name, not a top-level ID).

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Notes

• Most fields are nullable — only core identity (person_id, name, LinkedIn URL) is guaranteed.
• Reverse email lookup returns a score from 1–10; 7 or higher is a reliable match; no match returns 204.
• Bulk lookups omit unknown identifiers; bulk enrich returns a found/queued status per row, and only found rows are charged.
• Enriching an unknown person queues them for sourcing — retry the lookup shortly after.