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POST
/
v0
/
products
Create
curl --request POST \
  --url https://api.paygentic.io/v0/products \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "description": "<string>",
  "merchantId": "<string>",
  "name": "<string>",
  "metadata": {}
}
'
import requests

url = "https://api.paygentic.io/v0/products"

payload = {
    "description": "<string>",
    "merchantId": "<string>",
    "name": "<string>",
    "metadata": {}
}
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({
    description: '<string>',
    merchantId: '<string>',
    name: '<string>',
    metadata: {}
  })
};

fetch('https://api.paygentic.io/v0/products', 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.paygentic.io/v0/products",
  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([
    'description' => '<string>',
    'merchantId' => '<string>',
    'name' => '<string>',
    'metadata' => [
        
    ]
  ]),
  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.paygentic.io/v0/products"

	payload := strings.NewReader("{\n  \"description\": \"<string>\",\n  \"merchantId\": \"<string>\",\n  \"name\": \"<string>\",\n  \"metadata\": {}\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.paygentic.io/v0/products")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"description\": \"<string>\",\n  \"merchantId\": \"<string>\",\n  \"name\": \"<string>\",\n  \"metadata\": {}\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.paygentic.io/v0/products")

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  \"description\": \"<string>\",\n  \"merchantId\": \"<string>\",\n  \"name\": \"<string>\",\n  \"metadata\": {}\n}"

response = http.request(request)
puts response.read_body
{
  "id": "prod_x1y2z3a4b5c6d7e8",
  "object": "product",
  "createdAt": "2024-01-10T08:15:00Z",
  "description": "Enterprise access to advanced language models for natural language tasks",
  "merchantId": "org_f9g0h1i2j3k4l5m6",
  "metadata": {
    "category": "ai_services",
    "tier": "enterprise"
  },
  "name": "Large Language Model Service",
  "updatedAt": "2024-01-10T08:15:00Z"
}
{
  "message": "The requested resource was not found",
  "error": "not_found"
}
{
  "message": "The requested resource was not found",
  "error": "not_found"
}
{
  "message": "The requested resource was not found",
  "error": "not_found"
}
{
  "message": "The requested resource was not found",
  "error": "not_found"
}

Authorizations

Authorization
string
header
required

API key authentication

Body

application/json
description
string
required

Customer-visible product summary explaining capabilities and use cases. Sample values: 'Enterprise access to advanced language models for natural language tasks', 'Scalable data warehousing with real-time query capabilities', 'On-demand AI image generation using diffusion models', 'Distributed computing infrastructure for training deep learning models', 'High-performance vector similarity search database', 'Production-ready speech-to-text conversion service'

merchantId
string
required

The merchant organization that will own this product

Pattern: ^org_[a-zA-Z0-9]+$
name
string
required

Customer-facing product title shown in invoices and dashboards. Sample values: 'Large Language Model Service', 'Cloud Data Warehouse', 'AI Image Creator', 'Neural Network Training Platform', 'Vector Database', 'Speech Recognition API'

metadata
object

Optional key-value metadata storage for product information. Sample values: {"category": "ai_services", "tier": "enterprise"}, {"region": "global", "support_level": "premium"}

Response

Product created successfully

id
string
required

Unique identifier for a product

Pattern: ^prod_[a-zA-Z0-9]+$
object
enum<string>
default:product
required
Available options:
product
createdAt
string<date-time>
required
description
string
required
merchantId
string
required

The merchant organization that owns this product

Pattern: ^org_[a-zA-Z0-9]+$
metadata
object
required
name
string
required
updatedAt
string<date-time>
required