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 signals for the person, from Get person talent signals.
• 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 → Find person ID → take the person_id (free, up to 50 at once), or Enrich person when you want the profile fetched for someone Specter may not hold yet.
• Email → Enrich person by email.
• Name → Search entities by name → take the id of a match in the people group (free; it’s the person_id).

• Full profile → Get person by ID.
• Verified email → Get person email.
• Talent signals → Get person talent signals. The person’s whole signal history, newest first, each entry carrying the signal detail and the embedded profile. Bound it with signal_date_after / signal_date_before.
• Investor interest in the person → interest signals are served as a feed, not per person: Get investor-interest signals by date, where Talent-type signals carry the person_id in entity_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.
• The by-email endpoints return the full person record, the same object as Get person by ID, plus the resolved email and a score from 1–10; 7 or higher is a reliable match. Roles live in experience[], each with its own company_id; there is no top-level company_id. No match returns 204.
• Bulk lookups omit unknown identifiers; bulk enrich returns a found/queued status per row, and only found rows are charged.
• Get person talent signals paginates at 50 per page and is charged per signal returned; a known person with no signals returns 200 with an empty array, an unknown one 404.
• Enriching an unknown person queues them for sourcing; retry the lookup shortly after.