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The Person Web Presence check analyzes an individual’s digital footprint across professional networks, social media, and public records. This check helps verify identity, employment history, and legitimacy through online research.

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Overview

The check examines:
  • LinkedIn profiles and professional networks
  • Social media presence (Twitter, Facebook, etc.)
  • Company websites and team pages
  • Professional directories and associations
  • News articles and press mentions
  • Public records and registries

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Running the Check

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API Endpoint

POST https://api.parcha.ai/api/v1/startKYCAgentJob

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Request Parameters

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agent_key
string
required
Use "public-kyc" for individual screening checks.
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check_id
string
required
Use "kyc.person_web_presence_check" for individual web presence research.
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payload
object
required
The individual information for research.

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Example Request

curl -X POST 'https://api.parcha.ai/api/v1/startKYCAgentJob' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
  "agent_key": "public-kyc",
  "check_id": "kyc.person_web_presence_check",
  "payload": {
    "id": "person-web-check-001",
    "self_attested_data": {
      "first_name": "Sarah",
      "last_name": "Johnson",
      "title": "Chief Technology Officer",
      "company_name": "TechStart Inc",
      "email_address": "sarah@techstart.example",
      "country_of_residence": "US",
      "address": {
        "city": "San Francisco",
        "state": "CA",
        "country_code": "US"
      }
    }
  }
}'

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Initial Response

{
  "id": "job-abc123",
  "status": "PENDING",
  "created_at": "2024-02-15T10:30:00Z",
  "updated_at": "2024-02-15T10:30:00Z",
  "agent_id": "public-bdd",
  "input_payload": {
    // Original request payload
  }
}

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Retrieving Check Results

Once the job is complete, retrieve the results using the job ID with the getJobByID endpoint. Make sure to include the include_check_results=true parameter to get the full check results. 
GET https://api.parcha.ai/api/v1/getJobByID?job_id=job-abc123&include_check_results=true

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Check Process

The person web presence check follows these steps:
  1. Online Research
    • Searches LinkedIn for professional profiles
    • Queries social media platforms
    • Searches company websites and team pages
    • Reviews news articles and press releases
  2. Profile Matching
    • Identifies potential profile matches
    • Evaluates match confidence based on:
      • Name similarity
      • Location alignment
      • Job title/company match
      • Email domain match
    • Filters out false positives
  3. Data Extraction
    • Extracts employment history
    • Collects education background
    • Identifies professional skills and expertise
    • Gathers contact information (email, phone, addresses)
  4. Verification
    • Cross-references self-attested data with findings
    • Validates current employment and title
    • Confirms location and contact details
    • Assesses profile completeness and activity

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Check Results

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Response Structure

{
  type: "PersonWebPresenceCheckResult";
  passed: boolean;
  profiles: Array<OnlineProfile>;
  employment_history?: Array<Employment>;
  education?: Array<Education>;
  contact_info?: {
    emails?: Array<string>;
    phone_numbers?: Array<string>;
    addresses?: Array<string>;
  };
  verification?: {
    name_verified: boolean;
    title_verified: boolean;
    company_verified: boolean;
    location_verified: boolean;
  };
  confidence_score: number;
}

type OnlineProfile = {
  platform: "linkedin" | "twitter" | "facebook" | "company_website" | "other";
  profile_url: string;
  name: string;
  title?: string;
  company?: string;
  location?: string;
  match_confidence: number;
  last_updated?: string;
  profile_summary?: string;
}

type Employment = {
  company: string;
  title: string;
  start_date?: string;
  end_date?: string;
  location?: string;
  description?: string;
  source: string;
}

type Education = {
  institution: string;
  degree?: string;
  field_of_study?: string;
  graduation_year?: string;
  source: string;
}

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Example Results

{
  "type": "PersonWebPresenceCheckResult",
  "passed": true,
  "profiles": [
    {
      "platform": "linkedin",
      "profile_url": "https://linkedin.com/in/sarah-johnson-cto",
      "name": "Sarah Johnson",
      "title": "Chief Technology Officer",
      "company": "TechStart Inc",
      "location": "San Francisco, CA",
      "match_confidence": 95,
      "last_updated": "2024-02-01",
      "profile_summary": "Experienced technology leader with 15+ years in software development..."
    },
    {
      "platform": "company_website",
      "profile_url": "https://techstart.example/team/sarah-johnson",
      "name": "Sarah Johnson",
      "title": "CTO",
      "company": "TechStart Inc",
      "match_confidence": 92
    }
  ],
  "employment_history": [
    {
      "company": "TechStart Inc",
      "title": "Chief Technology Officer",
      "start_date": "2022-01",
      "location": "San Francisco, CA",
      "source": "LinkedIn"
    },
    {
      "company": "BigTech Corp",
      "title": "Senior Engineering Manager",
      "start_date": "2018-03",
      "end_date": "2021-12",
      "location": "Mountain View, CA",
      "source": "LinkedIn"
    }
  ],
  "education": [
    {
      "institution": "Stanford University",
      "degree": "MS",
      "field_of_study": "Computer Science",
      "graduation_year": "2010",
      "source": "LinkedIn"
    }
  ],
  "contact_info": {
    "emails": ["sarah@techstart.example"],
    "phone_numbers": ["+1-415-555-0123"],
    "addresses": ["San Francisco, CA"]
  },
  "verification": {
    "name_verified": true,
    "title_verified": true,
    "company_verified": true,
    "location_verified": true
  },
  "confidence_score": 94
}

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Risk Factors

The check may flag concerns if:
  • No online presence found at all
  • Self-attested information doesn’t match online profiles
  • Current employment cannot be verified
  • Profile activity is outdated or abandoned
  • Multiple conflicting profiles found
  • Limited professional history or credentials
  • Location discrepancies
  • Unusual career gaps or inconsistencies

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Use Cases

Common applications include:
  • KYC Verification: Verify customer identity and employment
  • UBO Identification: Research beneficial owners
  • Executive Verification: Validate leadership credentials
  • Employment Screening: Verify employment history
  • Professional Background Checks: Confirm qualifications
  • Fraud Prevention: Detect synthetic identities or fabricated backgrounds

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Configuration Options

  • min_match_confidence: Minimum confidence score for profile matching (default: 0.8)
  • analysis_depth: How deep to search (1-3, default: 2)
  • platforms_to_search: Select specific platforms
  • enable_pdl_enrichment: Use People Data Labs for enrichment

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Best Practices

  1. Provide Complete Information: More data improves matching accuracy
  2. Verify Key Details: Cross-check employment and title
  3. Consider Profile Age: Check when profiles were last updated
  4. Look for Consistency: Verify information matches across platforms
  5. Combine with Other Checks: Use alongside AML screening
  6. Respect Privacy: Only collect necessary information
  7. Document Sources: Keep records of where information was found

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Data Sources

This check may utilize:
  • LinkedIn and professional networks
  • Company websites and team pages
  • Social media platforms
  • Professional directories
  • News articles and press releases
  • People Data Labs and data enrichment services