Example Company Record
Field AvailabilityNot all fields shown in the example record below are available by default. For a complete list of field pricing, see this table.
{
"id": "tnHcNHbCv8MKeLh92946LAkX6PKg",
"name": "people data labs",
"display_name": "People Data Labs",
"size": "51-200",
"employee_count": 85,
"linkedin_follower_count": 7342,
"founded": 2015,
"inferred_revenue": "$50M-$100M",
"industry": "computer software",
"industry_v2": "software development",
"naics": null,
"sic": null,
"location": {
"name": "san francisco, california, united states",
"locality": "san francisco",
"region": "california",
"metro": "san francisco, california",
"country": "united states",
"continent": "north america",
"street_address": "455 market street",
"address_line_2": "suite 1670",
"postal_code": "94105",
"geo": "37.74,-122.45"
},
"linkedin_id": "18170482",
"linkedin_url": "linkedin.com/company/peopledatalabs",
"linkedin_slug": "peopledatalabs",
"facebook_url": "facebook.com/peopledatalabs",
"twitter_url": "twitter.com/peopledatalabs",
"profiles": [
"linkedin.com/company/18170482",
"crunchbase.com/organization/talentiq",
"facebook.com/peopledatalabs",
"twitter.com/peopledatalabs",
"linkedin.com/company/peopledatalabs"
],
"website": "peopledatalabs.com",
"ticker": null,
"mic_exchange": null,
"type": "private",
"summary": "people data labs builds b2b data for developers, engineers, and data scientists.\n\nwe empower our clients to build and scale innovative data-driven products using 2.5 billion unique, always-accurate b2b records. every day, our clients use our data to build person profiles, enrich person records, power predictive modeling, drive artificial intelligence, and build new tools to make their teams more efficient, productive, and successful \n\nwe\u2019re proud to be the preferred data partner to the data science and engineering teams building the next generation of data-driven products and services. people data labs is the single source of truth in b2b data serving enterprise and startup clients across a range of data-enabled businesses.",
"tags": [
"artificial intelligence",
"developer apis",
"ip data",
"database",
"data and analytics",
"software",
"company data",
"people data",
"data",
"machine learning"
],
"headline": "The single source of truth for B2B data",
"alternative_names": [],
"alternative_domains": [],
"affiliated_profiles": [],
"ultimate_parent": null,
"immediate_parent": null,
"direct_subsidiaries": [],
"all_subsidiaries": [],
"total_funding_raised": 55250000.0,
"latest_funding_stage": "series_b",
"last_funding_date": "2021-11-16",
"number_funding_rounds": 7,
"funding_stages": [
"series_b",
"seed",
"series_a"
],
"average_employee_tenure": 2.652,
"average_tenure_by_role": {
"advisory": 2.167,
"trade": 0.0,
"manufacturing": 0.0,
"hospitality": 0.0,
"public_service": 0.0,
"support": 1.574,
"research": 2.667,
"product": 2.042,
"education": 0.0,
"human_resources": 1.952,
"legal": 0.0,
"operations": 3.763,
"fulfillment": 1.792,
"professional_service": 0.0,
"creative": 1.833,
"marketing": 1.75,
"partnerships": 1.511,
"sales_engineering": 2.109,
"sales": 1.971,
"health": 0.0,
"analyst": 1.717,
"finance": 4.625,
"engineering": 2.98
},
"average_tenure_by_level": {
"unpaid": 0.0,
"cxo": 4.708,
"partner": 0.0,
"owner": 9.889,
"director": 1.814,
"vp": 2.642,
"senior": 1.973,
"manager": 1.818,
"entry": 0.0,
"training": 0.5
},
"employee_churn_rate": {
"12_month": 0.0
},
"employee_count_by_country": {
"canada": 1,
"other_uncategorized": 2,
"united states": 82
},
"employee_count_by_month": {
"2015-03": 3,
"2015-04": 3,
"2015-05": 3,
"2015-06": 3,
"2015-07": 4,
"2015-08": 6,
"2015-09": 7,
"2015-10": 7,
"2015-11": 7,
"2015-12": 7,
"2016-01": 7,
"2016-02": 8,
"2016-03": 8,
"2016-04": 9,
"2016-05": 10,
"2016-06": 10,
"2016-07": 10,
"2016-08": 10,
"2016-09": 10,
"2016-10": 11,
"2016-11": 11,
"2016-12": 11,
"2017-01": 12,
"2017-02": 12,
"2017-03": 12,
"2017-04": 13,
"2017-05": 15,
"2017-06": 15,
"2017-07": 15,
"2017-08": 16,
"2017-09": 16,
"2017-10": 16,
"2017-11": 16,
"2017-12": 16,
"2018-01": 18,
"2018-02": 19,
"2018-03": 19,
"2018-04": 19,
"2018-05": 21,
"2018-06": 23,
"2018-07": 24,
"2018-08": 24,
"2018-09": 24,
"2018-10": 26,
"2018-11": 28,
"2018-12": 26,
"2019-01": 34,
"2019-02": 35,
"2019-03": 37,
"2019-04": 39,
"2019-05": 39,
"2019-06": 38,
"2019-07": 36,
"2019-08": 36,
"2019-09": 36,
"2019-10": 36,
"2019-11": 37,
"2019-12": 39,
"2020-01": 47,
"2020-02": 47,
"2020-03": 48,
"2020-04": 47,
"2020-05": 46,
"2020-06": 48,
"2020-07": 50,
"2020-08": 48,
"2020-09": 51,
"2020-10": 51,
"2020-11": 52,
"2020-12": 54,
"2021-01": 58,
"2021-02": 63,
"2021-03": 69,
"2021-04": 71,
"2021-05": 75,
"2021-06": 78,
"2021-07": 80,
"2021-08": 82,
"2021-09": 82,
"2021-10": 87,
"2021-11": 91,
"2021-12": 93,
"2022-01": 101,
"2022-02": 104,
"2022-03": 114,
"2022-04": 117,
"2022-05": 120,
"2022-06": 123,
"2022-07": 127,
"2022-08": 131,
"2022-09": 131,
"2022-10": 132,
"2022-11": 134,
"2022-12": 132,
"2023-01": 113,
"2023-02": 111,
"2023-03": 111,
"2023-04": 111,
"2023-05": 110,
"2023-06": 106,
"2023-07": 104,
"2023-08": 106,
"2023-09": 106,
"2023-10": 103,
"2023-11": 101,
"2023-12": 101,
"2024-01": 96,
"2024-02": 92,
"2024-03": 92,
"2024-04": 92,
"2024-05": 87,
"2024-06": 86,
"2024-07": 86,
"2024-08": 85,
"2024-09": 86,
"2024-10": 85,
"2024-11": 84,
"2024-12": 84,
"2025-01": 86,
"2025-02": 87,
"2025-03": 84,
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"2025-05": 85,
"2025-06": 87,
"2025-07": 87,
"2025-08": 87,
"2025-09": 87,
"2025-10": 85
},
"employee_count_by_role": {
"other_uncategorized": 3,
"advisory": 1,
"trade": 0,
"manufacturing": 0,
"hospitality": 0,
"public_service": 0,
"support": 6,
"research": 1,
"product": 7,
"education": 0,
"human_resources": 5,
"legal": 0,
"operations": 5,
"fulfillment": 1,
"professional_service": 0,
"creative": 0,
"marketing": 5,
"partnerships": 4,
"sales_engineering": 4,
"sales": 14,
"health": 0,
"analyst": 4,
"finance": 3,
"engineering": 22
},
"employee_count_by_sub_role": {
"other_uncategorized": 16,
"advisor": 0,
"board_member": 1,
"investor": 0,
"agriculture": 0,
"construction": 0,
"electric": 0,
"mechanic": 0,
"plumbing": 0,
"health_and_safety": 0,
"machinist": 0,
"quality_assurance": 0,
"restaurants": 0,
"retail": 0,
"emergency_services": 0,
"judicial": 0,
"military": 0,
"political": 0,
"protective_service": 0,
"social_service": 0,
"account_management": 0,
"customer_success": 6,
"customer_support": 0,
"fraud": 0,
"academic": 0,
"financial": 0,
"scientific": 0,
"product_design": 1,
"product_management": 6,
"curation": 0,
"primary_and_secondary": 0,
"professor": 0,
"student": 0,
"tour_and_travel": 0,
"human_resources": 2,
"recruiting": 1,
"talent_analytics": 0,
"training": 2,
"compliance": 0,
"legal": 0,
"administrative": 1,
"aides": 1,
"building_and_grounds": 0,
"corporate_development": 0,
"executive": 3,
"investor_relations": 0,
"strategy": 0,
"logistics": 0,
"project_management": 1,
"transport": 0,
"warehouse": 0,
"accounting_services": 0,
"architecture": 0,
"consulting": 0,
"investment_banking": 0,
"legal_services": 0,
"marketing_services": 0,
"translation": 0,
"artist": 0,
"entertainment": 0,
"fashion": 0,
"graphic_design": 0,
"hair_stylist": 0,
"journalism": 0,
"brand": 1,
"content": 1,
"growth": 2,
"marketing_design": 0,
"business_development": 4,
"partnerships": 0,
"implementation": 0,
"solutions_engineer": 4,
"account_executive": 12,
"insurance": 0,
"realtor": 0,
"sales_development": 0,
"dental": 0,
"doctor": 0,
"fitness": 0,
"nursing": 0,
"pharmacy": 0,
"therapy": 0,
"veterinarian": 0,
"wellness": 0,
"business_analyst": 0,
"data_analyst": 1,
"revenue_operations": 3,
"accounting": 1,
"bookkeeping": 0,
"procurement": 0,
"planning_and_analysis": 0,
"risk": 0,
"chemical": 0,
"data_engineering": 5,
"data_science": 1,
"devops": 0,
"electrical": 0,
"hardware": 0,
"industrial": 0,
"information_technology": 0,
"mechanical": 0,
"network": 0,
"qa_engineering": 0,
"security": 1,
"software": 8,
"web": 0
},
"employee_count_by_class": {
"other_uncategorized": 3,
"services": 7,
"general_and_administrative": 18,
"sales_and_marketing": 27,
"research_and_development": 30
},
"employee_growth_rate": {
"12_month": 0.0
},
"employee_growth_rate_12_month_by_role": {
"other_uncategorized": 0.0,
"advisory": 0.0,
"trade": null,
"manufacturing": null,
"hospitality": null,
"public_service": null,
"support": 0.2,
"research": 0.0,
"product": 0.75,
"education": null,
"human_resources": 0.25,
"legal": null,
"operations": 0.25,
"fulfillment": -0.5,
"professional_service": null,
"creative": null,
"marketing": 0.25,
"partnerships": 0.0,
"sales_engineering": -0.375,
"sales": 0.0,
"health": null,
"analyst": 0.0,
"finance": 0.0,
"engineering": -0.12
},
"employee_growth_rate_12_month_by_class": {
"other_uncategorized": 0.5,
"services": 0.1667,
"general_and_administrative": 0.2,
"sales_and_marketing": 0.0,
"research_and_development": 0.25
},
"gross_additions_by_month": {
"2015-03": 3,
"2015-04": 0,
"2015-05": 0,
"2015-06": 0,
"2015-07": 1,
"2015-08": 2,
"2015-09": 1,
"2015-10": 0,
"2015-11": 0,
"2015-12": 0,
"2016-01": 0,
"2016-02": 1,
"2016-03": 0,
"2016-04": 1,
"2016-05": 1,
"2016-06": 0,
"2016-07": 0,
"2016-08": 0,
"2016-09": 0,
"2016-10": 1,
"2016-11": 0,
"2016-12": 0,
"2017-01": 0,
"2017-02": 0,
"2017-03": 0,
"2017-04": 1,
"2017-05": 2,
"2017-06": 0,
"2017-07": 0,
"2017-08": 1,
"2017-09": 1,
"2017-10": 0,
"2017-11": 0,
"2017-12": 1,
"2018-01": 1,
"2018-02": 1,
"2018-03": 0,
"2018-04": 0,
"2018-05": 2,
"2018-06": 2,
"2018-07": 1,
"2018-08": 0,
"2018-09": 1,
"2018-10": 3,
"2018-11": 2,
"2018-12": 0,
"2019-01": 8,
"2019-02": 1,
"2019-03": 2,
"2019-04": 2,
"2019-05": 0,
"2019-06": 0,
"2019-07": 1,
"2019-08": 0,
"2019-09": 0,
"2019-10": 0,
"2019-11": 1,
"2019-12": 2,
"2020-01": 7,
"2020-02": 0,
"2020-03": 1,
"2020-04": 0,
"2020-05": 0,
"2020-06": 2,
"2020-07": 3,
"2020-08": 0,
"2020-09": 4,
"2020-10": 0,
"2020-11": 2,
"2020-12": 2,
"2021-01": 7,
"2021-02": 7,
"2021-03": 6,
"2021-04": 2,
"2021-05": 5,
"2021-06": 3,
"2021-07": 4,
"2021-08": 2,
"2021-09": 0,
"2021-10": 6,
"2021-11": 6,
"2021-12": 2,
"2022-01": 6,
"2022-02": 3,
"2022-03": 12,
"2022-04": 4,
"2022-05": 3,
"2022-06": 5,
"2022-07": 5,
"2022-08": 5,
"2022-09": 6,
"2022-10": 5,
"2022-11": 3,
"2022-12": 1,
"2023-01": 0,
"2023-02": 0,
"2023-03": 1,
"2023-04": 3,
"2023-05": 4,
"2023-06": 1,
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"2023-09": 1,
"2023-10": 0,
"2023-11": 0,
"2023-12": 0,
"2024-01": 0,
"2024-02": 3,
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"2024-07": 2,
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"2024-09": 4,
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"2024-11": 2,
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},
"gross_departures_by_month": {
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},
"dataset_version": "v32.1"
}
Updated 8 days ago
