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POST
/
products
Create product
curl --request POST \
  --url https://api.galtea.ai/products \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "id": "prod_123",
  "organizationId": "org_123",
  "userId": "user_123",
  "name": "Sample Product",
  "description": "Sample product description",
  "riskLevel": "HIGH",
  "operatorType": "PROVIDER",
  "securityBoundaries": "Internal use only",
  "capabilities": "Can process and analyze data",
  "inabilities": "Cannot process sensitive financial data",
  "policies": "Must comply with data protection regulations",
  "tags": [
    "internal",
    "beta"
  ],
  "createdAt": "2023-11-07T05:31:56Z",
  "deletedAt": "2023-11-07T05:31:56Z"
}
'
import requests

url = "https://api.galtea.ai/products"

payload = {
    "id": "prod_123",
    "organizationId": "org_123",
    "userId": "user_123",
    "name": "Sample Product",
    "description": "Sample product description",
    "riskLevel": "HIGH",
    "operatorType": "PROVIDER",
    "securityBoundaries": "Internal use only",
    "capabilities": "Can process and analyze data",
    "inabilities": "Cannot process sensitive financial data",
    "policies": "Must comply with data protection regulations",
    "tags": ["internal", "beta"],
    "createdAt": "2023-11-07T05:31:56Z",
    "deletedAt": "2023-11-07T05:31:56Z"
}
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({
    id: 'prod_123',
    organizationId: 'org_123',
    userId: 'user_123',
    name: 'Sample Product',
    description: 'Sample product description',
    riskLevel: 'HIGH',
    operatorType: 'PROVIDER',
    securityBoundaries: 'Internal use only',
    capabilities: 'Can process and analyze data',
    inabilities: 'Cannot process sensitive financial data',
    policies: 'Must comply with data protection regulations',
    tags: ['internal', 'beta'],
    createdAt: '2023-11-07T05:31:56Z',
    deletedAt: '2023-11-07T05:31:56Z'
  })
};

fetch('https://api.galtea.ai/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.galtea.ai/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([
    'id' => 'prod_123',
    'organizationId' => 'org_123',
    'userId' => 'user_123',
    'name' => 'Sample Product',
    'description' => 'Sample product description',
    'riskLevel' => 'HIGH',
    'operatorType' => 'PROVIDER',
    'securityBoundaries' => 'Internal use only',
    'capabilities' => 'Can process and analyze data',
    'inabilities' => 'Cannot process sensitive financial data',
    'policies' => 'Must comply with data protection regulations',
    'tags' => [
        'internal',
        'beta'
    ],
    'createdAt' => '2023-11-07T05:31:56Z',
    'deletedAt' => '2023-11-07T05:31:56Z'
  ]),
  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.galtea.ai/products"

	payload := strings.NewReader("{\n  \"id\": \"prod_123\",\n  \"organizationId\": \"org_123\",\n  \"userId\": \"user_123\",\n  \"name\": \"Sample Product\",\n  \"description\": \"Sample product description\",\n  \"riskLevel\": \"HIGH\",\n  \"operatorType\": \"PROVIDER\",\n  \"securityBoundaries\": \"Internal use only\",\n  \"capabilities\": \"Can process and analyze data\",\n  \"inabilities\": \"Cannot process sensitive financial data\",\n  \"policies\": \"Must comply with data protection regulations\",\n  \"tags\": [\n    \"internal\",\n    \"beta\"\n  ],\n  \"createdAt\": \"2023-11-07T05:31:56Z\",\n  \"deletedAt\": \"2023-11-07T05:31:56Z\"\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.galtea.ai/products")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"id\": \"prod_123\",\n  \"organizationId\": \"org_123\",\n  \"userId\": \"user_123\",\n  \"name\": \"Sample Product\",\n  \"description\": \"Sample product description\",\n  \"riskLevel\": \"HIGH\",\n  \"operatorType\": \"PROVIDER\",\n  \"securityBoundaries\": \"Internal use only\",\n  \"capabilities\": \"Can process and analyze data\",\n  \"inabilities\": \"Cannot process sensitive financial data\",\n  \"policies\": \"Must comply with data protection regulations\",\n  \"tags\": [\n    \"internal\",\n    \"beta\"\n  ],\n  \"createdAt\": \"2023-11-07T05:31:56Z\",\n  \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.galtea.ai/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  \"id\": \"prod_123\",\n  \"organizationId\": \"org_123\",\n  \"userId\": \"user_123\",\n  \"name\": \"Sample Product\",\n  \"description\": \"Sample product description\",\n  \"riskLevel\": \"HIGH\",\n  \"operatorType\": \"PROVIDER\",\n  \"securityBoundaries\": \"Internal use only\",\n  \"capabilities\": \"Can process and analyze data\",\n  \"inabilities\": \"Cannot process sensitive financial data\",\n  \"policies\": \"Must comply with data protection regulations\",\n  \"tags\": [\n    \"internal\",\n    \"beta\"\n  ],\n  \"createdAt\": \"2023-11-07T05:31:56Z\",\n  \"deletedAt\": \"2023-11-07T05:31:56Z\"\n}"

response = http.request(request)
puts response.read_body
{
  "id": "prod_123",
  "organizationId": "org_123",
  "userId": "user_123",
  "name": "Sample Product",
  "description": "Sample product description",
  "riskLevel": "HIGH",
  "operatorType": "PROVIDER",
  "securityBoundaries": "Internal use only",
  "capabilities": "Can process and analyze data",
  "inabilities": "Cannot process sensitive financial data",
  "policies": "Must comply with data protection regulations",
  "tags": [
    "internal",
    "beta"
  ],
  "source": "banking",
  "createdAt": "2023-11-07T05:31:56Z",
  "deletedAt": "2023-11-07T05:31:56Z"
}
{
  "error": "Error type",
  "message": "Error message description"
}
{
  "error": "Error type",
  "message": "Error message description"
}

Authorizations

​
Authorization
string
header
required

API key authorization. Pass your API key in the Authorization header as a Bearer token. Both new (gsk_*) and legacy (gsk-) API keys are accepted, e.g. Authorization: Bearer gsk_... or Authorization: Bearer gsk-....

Body

application/json

Product data

​
id
string
Example:

"prod_123"

​
organizationId
string
Example:

"org_123"

​
userId
string | null
Example:

"user_123"

​
name
string
Example:

"Sample Product"

​
description
string
Example:

"Sample product description"

​
riskLevel
enum<string> | null

EU AI Act risk classification. PROHIBITED: banned AI use cases. GPAI: general-purpose AI. GPAI_SYSTEMIC: GPAI with systemic risk. HIGH: high-risk AI system. SPECIAL_SYSTEM: special-category system.

Available options:
PROHIBITED,
GPAI,
GPAI_SYSTEMIC,
HIGH,
SPECIAL_SYSTEM
Example:

"HIGH"

​
operatorType
enum<string> | null

EU AI Act operator role classification.

Available options:
AUTHORISED_REPRESENTATIVE,
DEPLOYER,
DISTRIBUTER,
IMPORTER,
PRODUCT_MANUFACTURER,
PROVIDER
Example:

"PROVIDER"

​
securityBoundaries
string | null
Example:

"Internal use only"

​
capabilities
string | null
Example:

"Can process and analyze data"

​
inabilities
string | null
Example:

"Cannot process sensitive financial data"

​
policies
string | null
Example:

"Must comply with data protection regulations"

​
tags
string[]

Free-form labels for organizing products. Normalized to lowercase and trimmed on save.

Example:
["internal", "beta"]
​
createdAt
string<date-time>
​
deletedAt
string<date-time> | null

Response

Product created successfully

​
id
string
Example:

"prod_123"

​
organizationId
string
Example:

"org_123"

​
userId
string | null
Example:

"user_123"

​
name
string
Example:

"Sample Product"

​
description
string
Example:

"Sample product description"

​
riskLevel
enum<string> | null

EU AI Act risk classification. PROHIBITED: banned AI use cases. GPAI: general-purpose AI. GPAI_SYSTEMIC: GPAI with systemic risk. HIGH: high-risk AI system. SPECIAL_SYSTEM: special-category system.

Available options:
PROHIBITED,
GPAI,
GPAI_SYSTEMIC,
HIGH,
SPECIAL_SYSTEM
Example:

"HIGH"

​
operatorType
enum<string> | null

EU AI Act operator role classification.

Available options:
AUTHORISED_REPRESENTATIVE,
DEPLOYER,
DISTRIBUTER,
IMPORTER,
PRODUCT_MANUFACTURER,
PROVIDER
Example:

"PROVIDER"

​
securityBoundaries
string | null
Example:

"Internal use only"

​
capabilities
string | null
Example:

"Can process and analyze data"

​
inabilities
string | null
Example:

"Cannot process sensitive financial data"

​
policies
string | null
Example:

"Must comply with data protection regulations"

​
tags
string[]

Free-form labels for organizing products. Normalized to lowercase and trimmed on save.

Example:
["internal", "beta"]
​
source
string | null
read-only

Demo key the product was cloned from (e.g. "banking"); null for user-created products. Server-stamped on demo-clone; not client-writable.

Example:

"banking"

​
createdAt
string<date-time>
​
deletedAt
string<date-time> | null