> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neuralverge.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Company employees

> Find the employees of a company by its LinkedIn URL: name, headline, job title, seniority level and department, location, LinkedIn profile, skills and education. Filter by seniority level, department and country; page through large companies. 2 points per returned record.



## OpenAPI

````yaml /openapi.json post /functions/v1/run-company-employees
openapi: 3.0.0
info:
  title: NeuralVerge API
  version: 1.0.0
  description: >-
    NeuralVerge API for AI research, search, extraction, and structured data
    source execution.
servers:
  - url: https://api.neuralverge.ai
    description: NeuralVerge API
security:
  - BearerAuth: []
tags:
  - name: AI Research
    description: Multi-step research workflows and the sessions they run in.
  - name: AI Extract
    description: Schema-driven extraction workflows.
  - name: Search
    description: Fast, synchronous web search with no session or polling.
  - name: Company intelligence
    description: Company profile lookups from company databases.
  - name: E-commerce & Marketplaces
    description: >-
      Product, seller, and review lookups on Amazon, eBay, Walmart, AliExpress,
      and Alibaba.
  - name: Enrichment
    description: Email and phone enrichment, validation, and discovery.
  - name: Product reviews
    description: >-
      Software and business reviews from Capterra, Gartner Peer Insights, and
      Trustpilot.
  - name: Social media
    description: LinkedIn profile, company, and people lookups.
  - name: Company Registries
    description: Company Registries data sources.
  - name: Startup & Funding Data
    description: Startup & Funding Data data sources.
  - name: Maps & Local Businesses
    description: Maps & Local Businesses data sources.
  - name: B2B data
    description: >-
      People and company data for B2B: LinkedIn profiles and searches, company
      employees, ICP-ranked leads.
paths:
  /functions/v1/run-company-employees:
    post:
      tags:
        - B2B data
      summary: Company employees
      description: >-
        Find the employees of a company by its LinkedIn URL: name, headline, job
        title, seniority level and department, location, LinkedIn profile,
        skills and education. Filter by seniority level, department and country;
        page through large companies. 2 points per returned record.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                company_linkedin_url:
                  description: >-
                    Company LinkedIn URL. e.g.
                    https://www.linkedin.com/company/stripe
                  type: string
                max_results:
                  description: People per page (up to 100)
                  type: integer
                  minimum: 1
                  maximum: 100
                  default: 10
                page:
                  description: Page
                  type: integer
                  minimum: 1
                  default: 1
                job_level:
                  description: Seniority level. e.g. C-Level, VP, Director
                  type: array
                  items:
                    type: string
                job_function:
                  description: >-
                    Departments. e.g. Advertising & Marketing, Art, Culture and
                    Creative Professionals, Construction
                  type: array
                  items:
                    type: string
                country:
                  description: Countries (comma-separated). e.g. United States, Germany
                  type: string
              required:
                - company_linkedin_url
            example:
              company_linkedin_url: https://www.linkedin.com/company/stripe
              max_results: 2
      responses:
        '200':
          description: Run completed.
          content:
            application/json:
              example:
                session_id: 11111111-1111-1111-1111-111111111111
                kind: company_employees
                company_linkedin_url: https://www.linkedin.com/company/stripe/
                job_level: []
                job_function: []
                country: []
                max_results: 2
                page: 1
                human: |-
                  # Company employees

                  - **Company:** https://www.linkedin.com/company/stripe/
                  - **Page:** 1 (up to 2 per page)
                  - **Total matching:** 11548
                  - **Total pages:** 5774
                  - **Records returned:** 2
                machine:
                  page: 1
                  total_pages: 5774
                  total_results: 11548
                  total_items: 2
                  items:
                    - full_name: Danny Broberg
                      first_name: Danny
                      last_name: Broberg
                      headline: Climate and Carbon Removal Policy
                      job_title: Policy Lead, Stripe Climate & Frontier
                      job_level: Manager
                      job_function: General Business & Management
                      job_is_current: true
                      linkedin_url: https://www.linkedin.com/in/danny-broberg
                      location: Washington, DC, United States
                      city: Washington
                      state_code: DC
                      country: United States
                      country_code: US
                      continent: North America
                      about: >-
                        Current Policy and Market Development lead at Stripe
                        Climate | Frontier - an advanced market commitment for
                        carbon removal. Over a decade of academic, legislative,
                        and government work on energy and ca
                      skills: >-
                        ["research","poster presentations","density functional
                        theory","python","latex","matlab","materials
                        science","mathematica","renewable
                        energy","vasp","teamwork","c++"]
                      education:
                        - degree: >-
                            Bachelor of Science (B.S.), Physics and Mathematics
                            (2 degrees), High Honors
                          end_date: '2013-01-01'
                          linkedin_url: >-
                            https://www.linkedin.com/school/theuniversityoftexasataustin-
                          organization: The University of Texas at Austin
                          start_date: '2010-01-01'
                        - degree: Doctor of Philosophy (PhD), Materials Science
                          end_date: '2019-01-01'
                          linkedin_url: https://www.linkedin.com/school/uc-berkeley
                          organization: University of California, Berkeley
                          start_date: '2013-01-01'
                      certifications: null
                    - full_name: Jake Leland
                      first_name: Jake
                      last_name: Leland
                      headline: Data Scientist at Stripe
                      job_title: Senior Data Scientist
                      job_level: Staff
                      job_function: Information Technology
                      job_is_current: true
                      linkedin_url: https://www.linkedin.com/in/jake-leland
                      location: Seattle, WA, United States
                      city: Seattle
                      state_code: WA
                      country: United States
                      country_code: US
                      continent: North America
                      about: >-
                        Experienced Data Scientist with expertise in Machine
                        Learning, Experimentation, Causal Inference, Data
                        Analysis & Data Engineering.
                      skills: >-
                        ["microsoft excel","financial analysis","sarbanes-oxley
                        act","accounting","microsoft
                        office","auditing","internal controls","financial
                        reporting","us gaap","cost
                        accounting","management","gaap","inter
                      education:
                        - degree: Master of Science - MS
                          linkedin_url: >-
                            https://www.linkedin.com/school/georgia-institute-of-technology
                          organization: Georgia Institute of Technology
                        - degree: Bachelor of Business Administration (B.B.A.)
                          linkedin_url: https://www.linkedin.com/school/gonzaga-university
                          organization: Gonzaga University
                      certifications: >-
                        [{"authority":"Washington State Board of
                        Accountancy","name":"Certified Public Accountant"}]
                total_points: 4
              schema:
                type: object
                properties:
                  session_id:
                    type: string
                    description: Session identifier for this run.
                  kind:
                    type: string
                    description: Data source identifier for this endpoint.
                  company_linkedin_url:
                    type: string
                  job_level:
                    type: array
                    items: {}
                  job_function:
                    type: array
                    items: {}
                  country:
                    type: array
                    items: {}
                  max_results:
                    type: integer
                  page:
                    type: integer
                  human:
                    type: string
                    description: Markdown summary of the result, for display.
                  machine:
                    type: object
                    properties:
                      page:
                        type: integer
                      total_pages:
                        type: integer
                      total_results:
                        type: integer
                      total_items:
                        type: integer
                      items:
                        type: array
                        items:
                          type: object
                          properties:
                            full_name:
                              type: string
                            first_name:
                              type: string
                            last_name:
                              type: string
                            headline:
                              type: string
                            job_title:
                              type: string
                            job_level:
                              type: string
                            job_function:
                              type: string
                            job_is_current:
                              type: boolean
                            linkedin_url:
                              type: string
                            location:
                              type: string
                            city:
                              type: string
                            state_code:
                              type: string
                            country:
                              type: string
                            country_code:
                              type: string
                            continent:
                              type: string
                            about:
                              type: string
                            skills:
                              type: string
                            education:
                              type: array
                              items:
                                type: object
                                properties:
                                  degree:
                                    type: string
                                  end_date:
                                    type: string
                                  linkedin_url:
                                    type: string
                                  organization:
                                    type: string
                                  start_date:
                                    type: string
                            certifications:
                              type: string
                              nullable: true
                    description: Structured result payload.
                  total_points:
                    type: integer
                    description: Points charged for this run.
        '400':
          description: Bad Request
        '401':
          description: Unauthorized
        '402':
          description: Payment Required
        '500':
          description: Internal Error
components:
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: API Key

````

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