curl --request POST \
  --url https://api.neuralverge.ai/functions/v1/run-company-employees \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "company_linkedin_url": "https://www.linkedin.com/company/stripe",
  "max_results": 2
}
'

import requests

url = "https://api.neuralverge.ai/functions/v1/run-company-employees"

payload = {
    "company_linkedin_url": "https://www.linkedin.com/company/stripe",
    "max_results": 2
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    company_linkedin_url: 'https://www.linkedin.com/company/stripe',
    max_results: 2
  })
};

fetch('https://api.neuralverge.ai/functions/v1/run-company-employees', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.neuralverge.ai/functions/v1/run-company-employees",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'company_linkedin_url' => 'https://www.linkedin.com/company/stripe',
    'max_results' => 2
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.neuralverge.ai/functions/v1/run-company-employees"

	payload := strings.NewReader("{\n  \"company_linkedin_url\": \"https://www.linkedin.com/company/stripe\",\n  \"max_results\": 2\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.neuralverge.ai/functions/v1/run-company-employees")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"company_linkedin_url\": \"https://www.linkedin.com/company/stripe\",\n  \"max_results\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.neuralverge.ai/functions/v1/run-company-employees")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"company_linkedin_url\": \"https://www.linkedin.com/company/stripe\",\n  \"max_results\": 2\n}"

response = http.request(request)
puts response.read_body

{
  "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\n\n- **Company:** https://www.linkedin.com/company/stripe/\n- **Page:** 1 (up to 2 per page)\n- **Total matching:** 11548\n- **Total pages:** 5774\n- **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
}