curl --request POST \
  --url https://api.neuralverge.ai/functions/v1/run-research \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "instructions": "Analyze the company and identify the main risks.",
  "settings": {
    "country_code": "us",
    "search_enabled": true,
    "deepsearch_model": "base",
    "finalizer_model": "gemini-3.0-pro"
  }
}
'

import requests

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

payload = {
    "instructions": "Analyze the company and identify the main risks.",
    "settings": {
        "country_code": "us",
        "search_enabled": True,
        "deepsearch_model": "base",
        "finalizer_model": "gemini-3.0-pro"
    }
}
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({
    instructions: 'Analyze the company and identify the main risks.',
    settings: {
      country_code: 'us',
      search_enabled: true,
      deepsearch_model: 'base',
      finalizer_model: 'gemini-3.0-pro'
    }
  })
};

fetch('https://api.neuralverge.ai/functions/v1/run-research', 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-research",
  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([
    'instructions' => 'Analyze the company and identify the main risks.',
    'settings' => [
        'country_code' => 'us',
        'search_enabled' => true,
        'deepsearch_model' => 'base',
        'finalizer_model' => 'gemini-3.0-pro'
    ]
  ]),
  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-research"

	payload := strings.NewReader("{\n  \"instructions\": \"Analyze the company and identify the main risks.\",\n  \"settings\": {\n    \"country_code\": \"us\",\n    \"search_enabled\": true,\n    \"deepsearch_model\": \"base\",\n    \"finalizer_model\": \"gemini-3.0-pro\"\n  }\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-research")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"instructions\": \"Analyze the company and identify the main risks.\",\n  \"settings\": {\n    \"country_code\": \"us\",\n    \"search_enabled\": true,\n    \"deepsearch_model\": \"base\",\n    \"finalizer_model\": \"gemini-3.0-pro\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"instructions\": \"Analyze the company and identify the main risks.\",\n  \"settings\": {\n    \"country_code\": \"us\",\n    \"search_enabled\": true,\n    \"deepsearch_model\": \"base\",\n    \"finalizer_model\": \"gemini-3.0-pro\"\n  }\n}"

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

{
  "session_id": "11111111-1111-1111-1111-111111111111"
}