> For the complete documentation index, see [llms.txt](https://docs.coresignal.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coresignal.com/employee-data/record-sample.md).

# Employee Record Sample

Explore a complete employee data record with professional, employer, career intelligence, and social influence data.

Review a complete sample employee data record featuring all four bundles: core employee data, employer information, career intelligence, and social influence. [Contact us](https://coresignal.com/contact-us/) to learn more or book a [free consultation](https://coresignal.com/contact-us/?utm_source=web\&utm_medium=public-docs\&utm_campaign=data-consultation).

Interested in checking out more data samples? **Visit our self-service platform**:

* See the API playground
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{% hint style="info" %}
All employee and company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes.
{% endhint %}

{% code title="JSON" %}

```json
{
  "id": 187293831,
  "parent_id": 187293830,
  "created_at": "2023-02-14T09:12:00.000Z",
  "updated_at": "2026-09-20T11:45:00.000Z",
  "processed_at": "2026-09-20T11:46:12.000Z",
  "checked_at": "2026-09-29T04:05:00.000Z",
  "changed_at": "2026-09-18T08:30:00.000Z",
  "experience_change_last_identified_at": "2026-08-01T00:00:00.000Z",
  "is_deleted": 0,
  "is_parent": 1,
  "public_profile_id": 998877665,
  "profile_score": 0.87,
  "professional_network_url": "https://www.professional-network.com/john-doe-example",
  "professional_network_shorthand_names": ["john-doe-example", "johndoe-example-123"],
  "professional_network_canonical_shorthand_name": "john-doe-example",
  "facebook_url": "https://www.facebook.com/john.doe.example",
  "twitter_url": "https://twitter.com/johndoeexample",
  "financial_website_url": "https://www.financial-website.com/person/john-doe-example",
  "website": "https://johndoe-example.dev",
  "historical_ids": [187200001, 187250002],
  "full_name": "John Michael Doe",
  "first_name": "John",
  "first_name_initial": "J",
  "middle_name": "Michael",
  "middle_name_initial": "M",
  "last_name": "Doe",
  "last_name_initial": "D",
  "headline": "Senior Data Scientist | Machine Learning Enthusiast at Example Company",
  "summary": "Senior Data Scientist with 8+ years of experience building machine learning models and data pipelines. Passionate about turning data into actionable insights for product and business teams. This is fictional sample content for demonstration purposes only.",
  "picture_url": "https://example.com/static/avatars/john-doe-example.jpg",
  "location_city": "San Diego",
  "location_state": "California",
  "location_country": "United States",
  "location_country_iso2": "US",
  "location_country_iso3": "USA",
  "location_full": "San Diego, California, United States",
  "location_regions": ["North America", "Western United States"],
  "location_latitude": 32.7157,
  "location_longitude": -117.1611,
  "interests": ["Machine Learning", "Open Source Software", "Hiking", "Chess"],
  "inferred_skills": ["Python", "SQL", "Machine Learning", "Data Visualization", "Apache Spark"],
  "historical_skills": ["R", "Tableau"],
  "connections_count": 1543,
  "followers_count": 6534,
  "services": "Data strategy consulting, ML model development",
  "primary_professional_email": "john.doe@example-company.com",
  "primary_professional_email_status": "verified",
  "professional_emails_collection": [
    {
      "professional_email": "john.doe@example-company.com",
      "professional_email_status": "verified",
      "order_of_priority": 1
    },
    {
      "professional_email": "j.doe@example-company.com",
      "professional_email_status": "matched_pattern",
      "order_of_priority": 2
    }
  ],
  "is_working": 1,
  "active_experience_company_id": 555000111,
  "active_experience_company_website": "https://www.example-company.com",
  "active_experience_company_shorthand_name": "example-company",
  "active_experience_company_logo_url": "https://example.com/static/logos/example-company.png",
  "active_experience_title": "Senior Data Scientist",
  "active_experience_description": "Leading a team building predictive models for customer retention and designing the company's ML experimentation platform.",
  "active_experience_department": "Data Science",
  "active_experience_management_level": "Senior",
  "is_decision_maker": 1,
  "total_experience_duration_months": 96,
  "tenure_stats": {
    "avg_tenure_months": 32.0,
    "median_tenure": 30.0,
    "current_tenure": 24.0,
    "longest_tenure": 48.0
  },
  "total_experience_duration_months_breakdown_department": [
    {
      "department": "Data Science",
      "total_experience_duration_months": 72
    },
    {
      "department": "Engineering",
      "total_experience_duration_months": 24
    }
  ],
  "total_experience_duration_months_breakdown_management_level": [
    {
      "management_level": "Senior",
      "total_experience_duration_months": 48
    },
    {
      "management_level": "Mid",
      "total_experience_duration_months": 48
    }
  ],
  "months_in_management": 12,
  "internal_promotion_rate": {
    "promotion_count": 2,
    "avg_months_per_promotion": 18.5,
    "recently_promoted": true
  },
  "experience": [
    {
      "id": "exp_a1b2c3d4",
      "active_experience": 1,
      "position_title": "Senior Data Scientist",
      "department": "Data Science",
      "management_level": "Senior",
      "location": "San Diego, California, United States",
      "description": "Leading a team building predictive models for customer retention and designing the company's ML experimentation platform.",
      "date_from": "2024-10-01",
      "date_from_year": 2024,
      "date_from_month": 10,
      "date_to": null,
      "date_to_year": null,
      "date_to_month": null,
      "duration_months": 24,
      "company_id": 555000111,
      "company_name": "Example Company, LLC",
      "company_type": "Private",
      "company_founded_year": "2011",
      "company_followers_count": 42000,
      "company_website": "https://www.example-company.com",
      "company_facebook_url": ["https://www.facebook.com/examplecompany"],
      "company_twitter_url": ["https://twitter.com/examplecompany"],
      "company_professional_network_url": "https://www.professional-network.com/company/example-company",
      "company_logo_url": "https://example.com/static/logos/example-company.png",
      "company_size_range": "1,001-5,000",
      "company_employees_count": 2450,
      "company_industry": "Information Technology & Services",
      "company_categories_and_keywords": ["Software", "Data Analytics", "Cloud Computing"],
      "company_annual_revenue_source_1": 420000000.0,
      "company_annual_revenue_currency_source_1": "USD",
      "company_annual_revenue_source_5": 415000000,
      "company_annual_revenue_currency_source_5": "USD",
      "company_employees_count_change_yearly_percentage": 8.4,
      "company_last_funding_round_date": "2022-05-10",
      "company_last_funding_round_amount_raised": 75000000,
      "company_hq_full_address": "123 Market Street, San Diego, CA 92101, United States",
      "company_hq_country": "United States",
      "company_hq_regions": ["North America", "Western United States"],
      "company_hq_country_iso2": "US",
      "company_hq_country_iso3": "USA",
      "company_hq_city": "San Diego",
      "company_hq_state": "California",
      "company_hq_street": "123 Market Street",
      "company_hq_zipcode": "92101",
      "company_last_updated_at": "2026-09-01",
      "company_stock_ticker": [
        {
          "exchange": "NASDAQ",
          "ticker": "EXCO"
        }
      ],
      "company_is_b2b": 1,
      "order_in_profile": 1
    }
  ],
  "projected_base_salary_p25": 112500.0,
  "projected_base_salary_median": 132714.27,
  "projected_base_salary_p75": 151300.0,
  "projected_base_salary_period": "ANNUAL",
  "projected_base_salary_currency": "USD",
  "projected_base_salary_updated_at": "2026-08-15",
  "projected_additional_salary": [
    {
      "projected_additional_salary_type": "CASH_BONUS",
      "projected_additional_salary_p25": 7500.0,
      "projected_additional_salary_median": 10990.35,
      "projected_additional_salary_p75": 14200.0
    },
    {
      "projected_additional_salary_type": "STOCK_BONUS",
      "projected_additional_salary_p25": 9000.0,
      "projected_additional_salary_median": 12732.47,
      "projected_additional_salary_p75": 16800.0
    }
  ],
  "projected_additional_salary_period": "ANNUAL",
  "projected_additional_salary_currency": "USD",
  "projected_additional_salary_updated_at": "2026-08-15",
  "projected_total_salary_p25": 129000.0,
  "projected_total_salary_median": 156437.09,
  "projected_total_salary_p75": 182300.0,
  "projected_total_salary_period": "ANNUAL",
  "projected_total_salary_currency": "USD",
  "projected_total_salary_updated_at": "2026-08-15",
  "last_graduation_date": 2016,
  "education_degrees": ["Master of Science in Data Science"],
  "institution_ranking_score": 78.5,
  "education": [
    {
      "id": "edu_e5f6g7h8",
      "degree": "Master of Science, Data Science",
      "description": "Focused on statistical learning, distributed computing, and applied machine learning.",
      "institution_url": "https://www.professional-network.com/school/tech-university-example",
      "institution_id": 334455,
      "institution_logo_url": "https://example.com/static/logos/tech-university.png",
      "institution_website": "https://www.techuniversity-example.edu",
      "institution_name": "Tech University",
      "institution_full_address": "500 University Ave, Boston, MA 02115, United States",
      "institution_country_iso2": "US",
      "institution_country_iso3": "USA",
      "institution_regions": ["North America", "New England"],
      "institution_city": "Boston",
      "institution_state": "Massachusetts",
      "institution_street": "500 University Ave",
      "institution_zipcode": "02115",
      "date_from_year": 2014,
      "date_to_year": 2016,
      "activities_and_societies": "Data Science Club, Graduate Student Association",
      "order_in_profile": 1
    }
  ],
  "recommendations_count": 1,
  "recommendations": [
    {
      "recommendation": "John is an exceptional data scientist who consistently delivers high-quality insights under tight deadlines. A pleasure to work with.",
      "referee_full_name": "Jane Smith",
      "referee_url": "https://www.professional-network.com/jane-smith-example",
      "order_in_profile": 1
    }
  ],
  "activity": [
    {
      "activity_url": "https://www.professional-network.com/posts/john-doe-example_mlops-activity-7000000000000000000-abcd",
      "title": "Excited to share our new open-source feature store project...",
      "action": "posted",
      "order_in_profile": 1,
      "created_at": "2026-09-10T14:22:00.000Z",
      "updated_at": "2026-09-10T14:22:00.000Z"
    }
  ],
  "post_frequency_yearly": 6.0,
  "posting_recency": "2026-09-10",
  "engagement_per_post": 84.5,
  "influence_score": 52.4,
  "awards": [
    {
      "title": "Employee of the Year",
      "issuer": "Example Company, LLC",
      "description": "Awarded for leading the customer retention modeling initiative.",
      "date": "2025-12-01",
      "date_year": 2025,
      "date_month": 12,
      "order_in_profile": 1
    }
  ],
  "awards_count": 1,
  "courses": [
    {
      "organizer": "Tech University",
      "title": "Advanced Machine Learning",
      "order_in_profile": 1
    }
  ],
  "certifications": [
    {
      "title": "AWS Certified Machine Learning - Specialty",
      "issuer": "Amazon Web Services",
      "issuer_url": "https://www.professional-network.com/company/amazon-web-services",
      "credential_id": "AWS-MLS-20231104-0099",
      "certificate_url": "https://www.credly.com/badges/example-credential-id",
      "certificate_logo_url": "https://example.com/static/logos/aws.png",
      "date_from": "2023-11-04",
      "date_from_year": 2023,
      "date_from_month": 11,
      "date_to": "2026-11-04",
      "date_to_year": 2026,
      "date_to_month": 11,
      "order_in_profile": 1
    }
  ],
  "certifications_count": 1,
  "languages": [
    {
      "language": "English",
      "proficiency": "Native or bilingual proficiency",
      "order_in_profile": 1
    }
  ],
  "patents_count": 1,
  "patents_topics": ["Anomaly Detection"],
  "patents": [
    {
      "title": "Method for real-time anomaly detection in streaming data",
      "status": "Granted",
      "description": "A system and method for detecting anomalies in high-velocity data streams using ensemble models.",
      "patent_url": "https://patents.example.com/US1234567B2",
      "date": "2022-06-15",
      "date_year": 2022,
      "date_month": 6,
      "patent_number": "US1234567B2",
      "order_in_profile": 1
    }
  ],
  "publications_count": 1,
  "publications_topics": ["Machine Learning"],
  "publications": [
    {
      "title": "Scalable Feature Engineering for Real-Time ML Pipelines",
      "description": "A paper describing a framework for scalable, low-latency feature engineering.",
      "publication_url": "https://journal.example.com/articles/scalable-feature-engineering",
      "publisher_names": ["Journal of Applied Data Science"],
      "date": "2021-09-01",
      "date_year": 2021,
      "date_month": 9,
      "order_in_profile": 1
    }
  ],
  "projects_count": 1,
  "projects_topics": ["Feature Store"],
  "projects": [
    {
      "name": "Open Feature Store",
      "description": "An open-source feature store for real-time and batch machine learning workflows.",
      "project_url": "https://projects.com/johndoe-example/open-feature-store",
      "date_from": "2025-01-01",
      "date_from_year": 2025,
      "date_from_month": 1,
      "date_to": "2025-08-01",
      "date_to_year": 2025,
      "date_to_month": 8,
      "order_in_profile": 1
    }
  ],
  "organizations": [
    {
      "organization_name": "Data Science Association",
      "position": "Board Member",
      "description": "Advising on community outreach and mentorship programs for early-career data scientists.",
      "date_from": "2022-01-01",
      "date_from_year": 2022,
      "date_from_month": 1,
      "date_to": null,
      "date_to_year": null,
      "date_to_month": null,
      "order_in_profile": 1
    }
  ],
  "personal_investments": [
    {
      "announced_date": "2024-03-12",
      "company_name": "Example Analytics Startup",
      "lead_investor": 0,
      "funding_round": "Seed",
      "amount_raised": 2000000
    }
  ],
  "partner_investments": [
    {
      "announced_date": "2023-07-20",
      "company_name": "Example Robotics Inc.",
      "lead_investor": 1,
      "funding_round": "Series A",
      "amount_raised": 15000000,
      "investor_name": "Example Ventures"
    }
  ],
  "exits": [
    {
      "company_name": "Example DataCo",
      "company_description": "A data infrastructure startup acquired by a larger analytics platform."
    }
  ],
  "events": [
    {
      "name": "Example Data Summit 2026",
      "role": "Speaker",
      "date": "2026-05-14",
      "location": "San Diego, California, United States"
    }
  ],
  "profile_root_field_changes_summary": [
    {
      "field_name": "active_experience_title",
      "change_type": "updated",
      "last_changed_at": "2026-08-01T00:00:00.000Z"
    }
  ],
  "profile_collection_field_changes_summary": [
    {
      "field_name": "experience",
      "last_changed_at": "2026-08-01T00:00:00.000Z"
    }
  ],
  "experience_recently_started": [
    {
      "company_id": 555000111,
      "company_name": "Example Company, LLC",
      "company_url": "https://www.professional-network.com/company/example-company",
      "company_shorthand_name": "example-company",
      "date_from": "2024-10-01",
      "date_to": null,
      "title": "Senior Data Scientist",
      "identification_date": "2024-10-15T00:00:00.000Z"
    }
  ],
  "experience_recently_closed": [
    {
      "company_id": 555000222,
      "company_name": "Prior Example Corp",
      "company_url": "https://www.professional-network.com/company/prior-example-corp",
      "company_shorthand_name": "prior-example-corp",
      "date_from": "2021-07-01",
      "date_to": "2024-10-01",
      "title": "Data Analyst",
      "identification_date": "2024-10-15T00:00:00.000Z"
    }
  ],
  "post_activity_monthly": [
    {
      "snapshot_date": "2026-09-01",
      "total_posts_count": 2
    }
  ],
  "total_posts_count": 48,
  "post_activity_monthly_inferred": [
    {
      "month": "2026-09-01",
      "posts_count": 2,
      "comments_received_count": 14,
      "reactions_received_count": 96
    }
  ],
  "comments_received_yearly": 168,
  "reposts_received_yearly": 22,
  "reactions_received_yearly": 1150,
  "post_frequency_change_percentage": 12.5,
  "engagement_received_change_percentage": 9.8,
  "post_hashtags": [
    {
      "hashtag": "#machinelearning",
      "posts_count": 9
    }
  ],
  "people_mentioned": [
    {
      "id": 221144,
      "full_name": "Jane Smith",
      "shorthand_name": "jane-smith-example",
      "profile_url": "https://www.professional-network.com/jane-smith-example",
      "mentions_count": 3
    }
  ],
  "companies_mentioned": [
    {
      "id": 555000111,
      "name": "Example Company, LLC",
      "shorthand_name": "example-company",
      "company_url": "https://www.professional-network.com/company/example-company",
      "mentions_count": 5
    }
  ],
  "people_engaged_with": [
    {
      "id": 221144,
      "full_name": "Jane Smith",
      "shorthand_name": "jane-smith-example",
      "profile_url": "https://www.professional-network.com/jane-smith-example",
      "posts_reacted_count": 4,
      "posts_commented_count": 2,
      "posts_reposted_count": 1,
      "last_signal_date": "2026-09-08",
      "last_engaged_post_url": "https://www.professional-network.com/posts/jane-smith-example_activity-7000000000000000001-efgh"
    }
  ],
  "companies_engaged_with": [
    {
      "id": 555000333,
      "name": "Example Cloud Platform",
      "shorthand_name": "example-cloud-platform",
      "company_url": "https://www.professional-network.com/company/example-cloud-platform",
      "posts_reacted_count": 3,
      "posts_commented_count": 1,
      "posts_reposted_count": 0,
      "last_signal_date": "2026-09-05",
      "last_engaged_post_url": "https://www.professional-network.com/posts/example-cloud-platform_activity-7000000000000000002-ijkl"
    }
  ],
  "post_commenters": [
    {
      "id": 221144,
      "full_name": "Jane Smith",
      "shorthand_name": "jane-smith-example",
      "profile_url": "https://www.professional-network.com/jane-smith-example",
      "total_comments_count": 5,
      "posts_commented_count": 2,
      "last_commented_date": "2026-09-09",
      "posts_commented": [
        {
          "post_url": "https://www.professional-network.com/posts/john-doe-example_mlops-activity-7000000000000000000-abcd",
          "post_date": "2026-09-10",
          "comments_count": 1
        }
      ]
    }
  ],
  "post_resharers": [
    {
      "id": 221144,
      "full_name": "Jane Smith",
      "shorthand_name": "jane-smith-example",
      "profile_url": "https://www.professional-network.com/jane-smith-example",
      "posts_reposted_count": 1,
      "last_reposted_date": "2026-09-11",
      "last_reposted_post_url": "https://www.professional-network.com/posts/john-doe-example_mlops-activity-7000000000000000000-abcd"
    }
  ],
  "post_reactors": [
    {
      "id": 221144,
      "full_name": "Jane Smith",
      "shorthand_name": "jane-smith-example",
      "profile_url": "https://www.professional-network.com/jane-smith-example",
      "posts_reacted_count": 4,
      "last_reacted_post_date": "2026-09-10",
      "last_reacted_post_url": "https://www.professional-network.com/posts/john-doe-example_mlops-activity-7000000000000000000-abcd"
    }
  ]
}
```

{% endcode %}


---

# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.coresignal.com/employee-data/record-sample.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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