curl --request POST \
  --url https://api.neuralverge.ai/functions/v1/run-producthunt-users-comments \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "user": "kevin",
  "max_items": 2
}
'

import requests

url = "https://api.neuralverge.ai/functions/v1/run-producthunt-users-comments"

payload = {
    "user": "kevin",
    "max_items": 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({user: 'kevin', max_items: 2})
};

fetch('https://api.neuralverge.ai/functions/v1/run-producthunt-users-comments', 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-producthunt-users-comments",
  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([
    'user' => 'kevin',
    'max_items' => 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-producthunt-users-comments"

	payload := strings.NewReader("{\n  \"user\": \"kevin\",\n  \"max_items\": 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-producthunt-users-comments")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"user\": \"kevin\",\n  \"max_items\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"user\": \"kevin\",\n  \"max_items\": 2\n}"

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

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "producthunt_users_comments",
  "user": "kevin",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# Product Hunt — user comments\n\n- **User:** kevin\n- **Results:** 2\n- **Proxy traffic:** 34.6 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "5887202",
      "name": "Comment 5887202",
      "url": "https://www.producthunt.com/products/clueso?comment=5887202",
      "comment_id": "5887202",
      "body": "Congrats on the launch, @neel_balar 🚀. Connecting video generation directly to agents like Claude and Cursor via MCP is a great move. Being able to feed it a reference video or deck and get back an ed",
      "created_at": "2026-09-22T01:10:12-07:00"
    },
    "items": [
      {
        "id": "5887202",
        "name": "Comment 5887202",
        "url": "https://www.producthunt.com/products/clueso?comment=5887202",
        "comment_id": "5887202",
        "body": "Congrats on the launch, @neel_balar 🚀. Connecting video generation directly to agents like Claude and Cursor via MCP is a great move. Being able to feed it a reference video or deck and get back an ed",
        "created_at": "2026-09-22T01:10:12-07:00"
      },
      {
        "id": "5655884",
        "name": "Comment 5655884",
        "url": "https://www.producthunt.com/products/promptql?comment=5655884",
        "comment_id": "5655884",
        "body": "Excited to launch this today. Congrats @tanmaig and @rajoshi_ghosh on the launch! 🚀 Love the concept of a AI-native workspace built around captured team context rather than just isolated chats. As tea",
        "created_at": "2026-07-23T07:41:14-07:00"
      }
    ],
    "total_found": null,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 35394
  },
  "total_points": 2
}