Skip to main content
Professional profiles with career history, education, and real-time signals. Specter’s people dataset covers 550M+ profiles — founders, executives, investors, and operators. Each person has a stable person_id used across every people endpoint.

Data categories

  • Profile — name, tagline, about, location, profile picture, LinkedIn follower and connection counts.
  • Career historyexperience[]: companies, titles, tenure, and progression (is_current, job_order).
  • Educationeducation[]: institutions, degrees, and fields of study.
  • Skills & attributes — skills, languages, seniority, years of experience, education level.
  • Signalstalent_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.
Looking for a person’s team-network connections? See Network. For investor profiles, funds, and activity, see Investors.

Highlights

The highlights array flags high-signal attributes for evaluating a person — especially founders. Documented values include:
  • 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.
This list is being expanded, so treat it as non-exhaustive. Pair highlights with company filters to spot strong founding teams.
Example (trimmed)
{
  "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"
}

Endpoints

MethodEndpointReturns
POSTEnrich peopleEnrich a person by LinkedIn URL or identifier
GETSearch person nameFind a person by name
GETGet person info by IDA full person profile by ID
GETGet person’s emailA person’s verified email
POSTReverse email lookupReverse-lookup a person from an email
POSTBulk enrich people by IDEnrich up to 50 people in one request
POSTBulk reverse email lookupReverse email lookup for up to 50 emails

How to use the API

Start with what you have Expand from a person

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.