curl --request GET \
  --url https://api.deepxl.ai/v1/detection/{detectionId} \
  --header 'x-api-key: <api-key>'

import requests

url = "https://api.deepxl.ai/v1/detection/{detectionId}"

headers = {"x-api-key": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {'x-api-key': '<api-key>'}};

fetch('https://api.deepxl.ai/v1/detection/{detectionId}', 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.deepxl.ai/v1/detection/{detectionId}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "x-api-key: <api-key>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.deepxl.ai/v1/detection/{detectionId}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("x-api-key", "<api-key>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.deepxl.ai/v1/detection/{detectionId}")
  .header("x-api-key", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.deepxl.ai/v1/detection/{detectionId}")

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

request = Net::HTTP::Get.new(url)
request["x-api-key"] = '<api-key>'

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

{
  "result": {
    "detectionId": 1,
    "mediaType": "image",
    "fileType": "jpeg",
    "fileName": "document.jpg",
    "fileSize": 231433,
    "model": "object",
    "likelihood": 4.75,
    "fraudSeverity": "low",
    "country": "us",
    "reasoning": [
      "Image appears authentic with only 4.7% AI probability. Natural characteristics suggest genuine photography."
    ],
    "modelResults": {
      "technicalChecks": []
    },
    "classification": "verified",
    "timestamp": 1725795600,
    "timestampISO": "2024-09-08T10:00:00.000000",
    "tags": [
      {
        "name": "customerId",
        "value": "9999"
      },
      {
        "name": "customerName",
        "value": "Acme Corp"
      },
      {
        "name": "documentId",
        "value": "DOC-2024-001"
      },
      {
        "name": "companyName",
        "value": "DeepXL"
      },
      {
        "name": "companyId",
        "value": "COMP-001"
      }
    ],
    "files": [
      {
        "category": "original_file",
        "fileName": "document.jpg",
        "fileSize": 231433,
        "contentType": "image/jpeg",
        "timestamp": 1725795600,
        "timestampISO": "2024-09-08T10:00:00.000000",
        "url": "https://api.deepxl.ai/v1/files/fd_1_document.jpg"
      }
    ]
  }
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}