Overview

FullContact is an identity resolution and data enrichment platform that transforms fragmented contact information into complete person and company profiles. Given a single identifier -- an email address, phone number, social handle, or physical address -- FullContact returns a comprehensive profile including demographic information, social media accounts, employment history, and company affiliations.

FullContact's identity graph connects over 3 billion person records with 200+ billion data points, resolving fragmented identities across multiple data sources. This makes it the industry standard for person enrichment in CRM systems, marketing platforms, and increasingly in OSINT investigation workflows where building a complete profile from partial information is essential.

Within the Prismatic Platform, FullContact serves as the primary person enrichment engine, transforming email addresses discovered by Hunter.io into complete identity profiles for organizational mapping and investigation workflows.

Data Coverage

Data Type	Description
Full Name	First, middle, last name with confidence score
Social Profiles	LinkedIn, Twitter, Facebook, GitHub, and 100+ networks
Employment	Current and past employers, job titles, seniority
Location	City, state, country with geocoding
Demographics	Age range, gender, interests
Photos	Profile photos from social media accounts
Company	Employer details with domain, industry, size
Education	School, degree, graduation year
Bio	Aggregated biography from social profiles
Communication Channels	Email, phone, social handles, website

Identity Resolution Process

FullContact's identity graph resolves fragmented data across silos into unified person records. The resolution engine uses probabilistic matching algorithms that weigh multiple signals to determine identity equivalence:

Input: email "john@example.com"
  -> Resolves to Person Record ID: fc-abc123
  -> Links: LinkedIn profile, Twitter handle, GitHub account
  -> Enriches: Full name, employer, title, location, photo
  -> Matches: Phone +1-555-0123, address 123 Main St

Resolution Confidence Model

Each data point in a FullContact profile carries a confidence score reflecting the strength of the underlying evidence:

Confidence Level	Score Range	Meaning
Definitive	0.95 - 1.00	Self-reported or verified through multiple sources
High	0.80 - 0.94	Strong cross-source correlation
Medium	0.60 - 0.79	Single-source or partial match
Low	0.40 - 0.59	Inferred or algorithmically predicted
Speculative	Below 0.40	Weak signal, requires verification

Integration with Prismatic

FullContact integrates with the OSINT Core person enrichment pipeline, providing identity resolution for investigation and organizational mapping workflows.

# Enrich a person by email
{:ok, person} = FullContact.enrich_person(email: "john.doe@example.com")
# => %{
#   full_name: "John Doe",
#   age_range: "30-39",
#   gender: "male",
#   location: %{city: "San Francisco", state: "CA", country: "US"},
#   employment: [
#     %{name: "Example Corp", title: "Senior Engineer", current: true,
#       domain: "example.com"}
#   ],
#   social_profiles: [
#     %{type: "linkedin", url: "https://linkedin.com/in/johndoe", username: "johndoe"},
#     %{type: "github", url: "https://github.com/johndoe", username: "johndoe"},
#     %{type: "twitter", url: "https://twitter.com/johndoe", username: "johndoe"}
#   ],
#   photos: [%{url: "https://...", type: "linkedin"}],
#   bio: "Senior software engineer passionate about distributed systems..."
# }

# Enrich by phone number
{:ok, person} = FullContact.enrich_person(phone: "+14155550123")

# Enrich by social handle
{:ok, person} = FullContact.enrich_person(twitter: "johndoe")

# Enrich a company
{:ok, company} = FullContact.enrich_company(domain: "example.com")
# => %{
#   name: "Example Corp",
#   domain: "example.com",
#   industry: "Technology",
#   employees: "201-500",
#   founded: 2010,
#   location: %{city: "San Francisco", state: "CA"},
#   social_profiles: [%{type: "linkedin", url: "https://..."}],
#   tech_stack: ["AWS", "React", "Python"],
#   annual_revenue: "$10M-50M"
# }

# Identity resolution (match across identifiers)
{:ok, resolved} = FullContact.resolve(
  email: "john@example.com",
  phone: "+14155550123",
  name: %{first: "John", last: "Doe"}
)

Person Investigation Pipeline

The person investigation pipeline combines FullContact enrichment with email intelligence, breach data, and employer information to build comprehensive subject profiles for due diligence and investigation workflows.

defmodule PrismaticOsint.Investigation.PersonProfiler do
  @moduledoc """
  Builds comprehensive person profiles by combining FullContact
  enrichment with email intelligence and breach data.
  """

  def build_profile(email) do
    with {:ok, person} <- FullContact.enrich_person(email: email),
         {:ok, rep} <- EmailRep.query(email),
         {:ok, breaches} <- Hibp.check_email(email),
         {:ok, company} <- enrich_employer(person) do
      {:ok, %{
        identity: person,
        email_reputation: rep.reputation,
        breach_exposure: length(breaches),
        social_footprint: length(person.social_profiles),
        employer: company,
        risk_assessment: assess_person_risk(person, rep, breaches),
        investigation_leads: generate_investigation_leads(person)
      }}
    end
  end

  defp enrich_employer(%{employment: [%{domain: domain} | _]}) do
    FullContact.enrich_company(domain: domain)
  end

  defp enrich_employer(_), do: {:ok, nil}
end

Organizational Mapping Workflow

FullContact enables automated organizational mapping when combined with email discovery. The workflow discovers all email addresses for a target domain via Hunter.io, then enriches each contact with FullContact to build a complete organizational picture:

defmodule PrismaticOsint.Enrichment.OrgChartBuilder do
  @moduledoc """
  Builds organizational charts by enriching discovered
  email addresses with FullContact person data.
  """

  def build_org_chart(domain) do
    with {:ok, hunter_result} <- Hunter.domain_search(domain),
         {:ok, enriched} <- batch_enrich(hunter_result.emails) do
      {:ok, %{
        domain: domain,
        organization: hunter_result.organization,
        total_contacts: length(enriched),
        c_suite: filter_by_seniority(enriched, "c_suite"),
        directors: filter_by_seniority(enriched, "director"),
        managers: filter_by_seniority(enriched, "manager"),
        departments: group_by_department(enriched),
        social_graph: build_social_network(enriched)
      }}
    end
  end

  defp batch_enrich(emails) do
    emails
    |> Task.async_stream(fn email ->
      FullContact.enrich_person(email: email.value)
    end, max_concurrency: 10, timeout: 15_000)
    |> Enum.flat_map(fn
      {:ok, {:ok, person}} -> [person]
      _ -> []
    end)
    |> then(&{:ok, &1})
  end
end

Rate Limits and Access

Tier	Requests/Min	Enrichments/Month	Features
Free	100	100	Person and company enrichment
Essentials	300	2,500	Identity resolution, batch
Premium	600	25,000	Full API, webhooks, analytics
Enterprise	Custom	Unlimited	Private identity graph, SLA

Authentication

API key required via Authorization: Bearer header. Free tier available with registration.

Data Privacy Considerations

FullContact processes personal data subject to various privacy regulations. Key considerations for OSINT integration:

Regulation	Requirement	Prismatic Compliance
GDPR	Legitimate interest or consent required	Investigation purpose documented
CCPA	Consumer data rights respected	Data minimization enforced
LGPD	Brazilian data protection compliance	Geographic filtering available

Use Cases

OSINT Investigation

Build complete profiles from partial identifiers (email, phone, name)
Map organizational structures by enriching Hunter.io discovered emails
Identify key decision-makers for social engineering assessments
Correlate social media presence across platforms for subject profiling

Due Diligence

Verify person identities for KYC/AML compliance
Cross-reference with OpenCorporates for corporate role verification
Validate executive profiles for M&A intelligence
Background checks for financial services onboarding

Security Assessment

Map target organization personnel for phishing simulation planning
Identify high-value targets based on role and access level
Correlate with DeHashed for credential exposure of key personnel
Assess social media attack surface for executive protection

Competitive Intelligence

Monitor competitor organizational changes and key hires
Track executive movements between companies in target industries
Build relationship maps across industry networks
Identify partnership and vendor relationships through employment patterns

Hunter.io - Email discovery feeding person enrichment
EmailRep - Email reputation scoring
Have I Been Pwned - Breach exposure for discovered persons
OpenCorporates - Corporate entity and officer verification
Intelligence X - Deep search for person-related data exposure
ZoomInfo - Enterprise B2B contact and company intelligence
LinkedIn Sales Navigator - Professional network intelligence

OSINT Core - Core OSINT framework and adapter layer
Prismatic Perimeter - Person data in organizational risk assessment

Connect & Contribute

Created by Tomáš Korcak (korczis) | Open Source under GHL

GitHub | GitLab | LinkedIn | Contact
Developer Portal | Architecture | Meet the Creator

FullContact

Capabilities

Try FullContact

Overview

Data Coverage

Identity Resolution Process

Resolution Confidence Model

Integration with Prismatic

Person Investigation Pipeline

Organizational Mapping Workflow

Rate Limits and Access

Authentication

Data Privacy Considerations

Use Cases

OSINT Investigation

Due Diligence

Security Assessment

Competitive Intelligence

Connect & Contribute

Intelligence Network

Related Content

Agent Ecosystem

Applications

Doctrine

FullContact

Capabilities

Try FullContact

Overview

Data Coverage

Identity Resolution Process

Resolution Confidence Model

Integration with Prismatic

Person Investigation Pipeline

Organizational Mapping Workflow

Rate Limits and Access

Authentication

Data Privacy Considerations

Use Cases

OSINT Investigation

Due Diligence

Security Assessment

Competitive Intelligence

Related Sources

Related Platform Components

Connect & Contribute

Intelligence Network

Related Content

Agent Ecosystem

Applications

Doctrine