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Data Legion’s person data product provides professional profiles with 60+ data points per person, available through APIs and monthly bulk data feeds.

What’s Included

Each person profile contains information across multiple categories:

Core Identity

  • Stable contact identifier (legion_id)
  • Full name components (first, middle, last, suffix, prefix)
  • Sex classification

Birth & Age

  • Birth date with precision preserved (year, month, day)
  • Derived age calculation

Current Employment

  • Current job title, company name, and domain
  • Seniority level and job function classifications
  • P&L expense category
  • Decision maker flag
  • Years of experience and average tenure
  • Company data: Industry, company size, LinkedIn URL

Contact Information

  • Work email (validated, with quality scores)
  • Mobile phone (with quality scores)
  • All phone numbers (mobile, landline) with type, current status, and quality scores
  • All email addresses (professional, personal) with type, validation status, current status, and quality scores

Location

  • Current city, state, state code, country, country code
  • All locations (current and historical) with:
    • Street address, city, state, postal code
    • ISO 3166 codes (state and country)
    • Continent information
    • Quality scores

LinkedIn Profile

  • Primary LinkedIn profile URL (with current status)

Skills & Languages

  • Skills array (with cleaned normalized text and raw source snippets)
  • Languages array (with proficiency levels, cleaned and raw variants)

Professional Summary

  • Headline (with cleaned normalized text and raw source snippets)
  • Summary/about section (with cleaned and raw variants)

Work Experience

  • Rich job history: Career progression, not just current role
  • Employment history with:
    • Job titles (cleaned and raw variants)
    • Company information (name, website, LinkedIn URL, industry, size)
    • Start and end dates
    • Current status flag
    • Tenure tracking (job tenure in months)
    • Seniority level, job function, expense category classifications
    • Decision maker flag
    • Job descriptions (cleaned and raw variants)
  • Job transitions and career progression context

Education

  • Highest degree level classification
  • Educational history with:
    • School/organization information (name, website, LinkedIn URL)
    • Degree information (cleaned and raw variants)
    • Degree level classification
    • Field of study (cleaned and raw variants)
    • Start and end dates
    • Current enrollment status

Social & Web Presence

  • Social profiles (LinkedIn, GitHub, X, Facebook) with:
    • Network type
    • Social URL and username
    • Current status
    • Quality scores

Metadata

  • Schema version identifier

Coverage Statistics

  • 70% LinkedIn coverage - Strong social profile coverage
  • 76% location coverage - Geographic data across profiles
  • 28% work email coverage - Professional contact data
  • 24% mobile phone coverage - Direct dial coverage
Strong LinkedIn coverage (70%) helps sales teams reach prospects, marketers personalize campaigns, recruiters find candidates, and data scientists build reliable models.

Use Cases

Sales & Marketing

  • Sales prospecting and lead generation with reliable contact data
  • Account-based marketing (ABM) with strong LinkedIn coverage (70%)
  • CRM data enrichment with career history
  • Territory planning and market segmentation
  • Personalize campaigns with rich job history and company context

HR Tech & Recruiting

  • Candidate sourcing with career progression
  • Talent pipeline building with full profiles
  • Skills-based recruiting with detailed data
  • Passive candidate identification
  • Applicant data enrichment

Investment & Research

  • Conduct due diligence with executive data
  • Map executive teams for M&A transactions
  • Analyze workforce composition for portfolio companies

Access Methods

APIs

Bulk Data Feeds

  • Delivery Method: Monthly via secure transfer (cloud storage, SFTP)
  • File Formats: CSV, JSON, Parquet, Delta
  • Update Frequency: Monthly full-file refreshes

Next Steps