primary_photo
String
URL of the best available photo of the person
Examples:
https://example.org/leadership/avery-sampleton.jpgField Schema
Detailed descriptions, types, and specifications for every field in the person record.
Record Identification
Identifiers and freshness metadata for the person record
id
StringRequired
Unique, stable identifier for this person
Persistent across data refreshes: the same person keeps the same id from one delivery to the next.
Examples:
1234567890123456789date_updated
Date
When this record was last rebuilt from its underlying sources
Examples:
2026-08-02T07:45:31ZName
The person's parsed and formatted name
title
String
Name prefix
Examples:
Mr.Dr.first
StringRequired
First name
Examples:
Averymiddle
String
Middle name or initial
Examples:
AnneJ.last
StringRequired
Last name
Examples:
Sampletonsuffix
String
Name suffix
Examples:
Jr.IIIMDfull_name
StringRequired
Display-formatted full name assembled from the parsed components
Examples:
Dr. Avery J. Sampleton Jr.Demographics & Biography
Age, background, biography, and the causes the person cares about
sex
Enum (String)
The person's sex, from source data or inferred from name
birth_year
Object
Birth year resolved across every source carrying a birth signal, with an explicit uncertainty range
Combines exact birth dates on file, reported birth years, ages surfaced by our web research, and (as a last resort) an estimate from the education timeline. When sources agree, year holds a confident point estimate; when they disagree, year is null and the min/max bounds still describe the plausible range.
age
Integer
Current age, computed from the resolved birth year
Examples:
64is_deceased
Object
Whether the person is known to be deceased, with sources
is_criminal
Boolean
Whether web research surfaced a criminal history
religion
Object
Religious affiliation, when publicly evidenced, with sources
bio
Array [Object]
Short biography assembled from web research, as cited bullets
interests
Array [String]
Hobbies and personal interests surfaced by web research
Examples:
SailingArt collectingMarathon runningissues
Array [Object]
Causes and issues the person demonstrably cares about, each with an explanation of the evidence
linkedin_handle
String
The person's LinkedIn profile slug (the part after linkedin.com/in/)
Examples:
avery-sampleton-8a2b45Profile Photos
Photos of the person collected during web research
photos
Array [Object]
All photos found for the person, deduplicated by URL
Photos are collected from sources such as LinkedIn, news articles, and organization leadership pages encountered during research.
Addresses
Current and historical addresses, standardized and geocoded
mailing_address
Object
The person's best current postal address
living_location
Object
City-level location where the person lives, which can differ from the mailing address
address_history
Array [Object]
Every address the person has been associated with, with when and how often they were observed there
Each entry carries the standardized address, geocoding, and the observation timeline.
Contact Information
Emails and phone numbers, deduplicated, typed, and run through third-party verification
contact_info
Array [Object]
Every email address and phone number linked to the person
Employment & Career
Employment history clustered across sources, with each role classified onto a structured occupation taxonomy
employments
Array [Object]
The person's employment history, one entry per role
is_retired
BooleanRequired
Whether the person is retired
retired_as_of_year
Integer
Estimated year the person retired
Examples:
2020Education
Schools attended, with degrees and years
education
Array [Object]
The person's education history, one entry per school
Family & Associates
Known relationships: family, colleagues, and other associates, cross-linked to their own profiles where they resolve
associates
Array [Object]
People connected to this person, with the nature of each connection
Wealth & Income
Net worth estimates, income streams, and researched assets, each with cited reasoning
net_worth
Object
Researched net worth estimate with cited, human-readable reasoning
modeled_net_worth
Object
Statistically modeled net worth interval, calibrated against national household finance data
An 80% interval (10th / 50th / 90th percentile) computed from observed income, age, real estate equity, and giving. confidence reflects how much observed data fed the model, not how wide the interval is.
online_net_worth_estimates
Array [Object]
Net worth figures published by third parties (e.g. wealth rankings), with their sources
income
Array [Object]
Identified income streams: salaries, fund economics, athlete and entertainer earnings, inheritances, and realized sale proceeds
Each stream carries type-specific detail. Salaries include a year-by-year compensation timeline, athlete earnings include contract and endorsement detail, and realized proceeds include the liquidity event behind them.
assets
Array [Object]
Identified assets: public company equity, private company stakes, real estate operating companies, and investment vehicles
Each asset carries a detail object for its type: public equity stakes carry SEC insider detail, private equity stakes carry valuation and ownership detail, and investment vehicles (family offices, personal investment LLCs) carry estimated assets under management.
Political Giving
Itemized political contributions from federal, state, and local campaign finance records, plus aggregates
political_donations
Array [Object]
Every political contribution matched to the person, with full recipient and context detail
Each entry is a full contribution record, including the recipient's race and committee context and the employer and occupation the contributor reported on the filing.
political_giving
ObjectRequired
Aggregate political giving profile computed from the itemized contributions
Philanthropic Giving & Nonprofit Involvement
Charitable donations, board service, volunteering, memberships, and private foundation ties, with the receiving nonprofit attached to each
nonprofit_donations
Array [Object]
Publicly disclosed charitable donations matched to the person, deduplicated across sources
Sourced from donor recognition pages, annual reports, and similar public disclosures.
philanthropic_giving
ObjectRequired
Aggregate philanthropic giving profile
predicted_annual_giving
Object
Predicted annual charitable giving capacity, with explanations
board_memberships
Array [Object]
Nonprofit board seats, from IRS 990 filings and organization websites
volunteer_roles
Array [Object]
Volunteer roles at nonprofits: the nonprofit, role title, years, and whether current
memberships
Array [Object]
Organization memberships, with the same shape as volunteer_roles
private_foundations
Array [Object]
Private foundations the person is tied to
Research Links
Web pages about the person found during research
research_links
Array [Object]
Web pages about the person, categorized by what they are
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Updated September 13, 2026