curl --request POST \
  --url https://api.spoofsense.ai/v1/deepfake_detection \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "data": "/9j/4AAQSkZJRg…",
  "threshold": 0.5
}
'

import requests

url = "https://api.spoofsense.ai/v1/deepfake_detection"

payload = {
    "data": "/9j/4AAQSkZJRg…",
    "threshold": 0.5
}
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({data: '/9j/4AAQSkZJRg…', threshold: 0.5})
};

fetch('https://api.spoofsense.ai/v1/deepfake_detection', 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.spoofsense.ai/v1/deepfake_detection",
  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([
    'data' => '/9j/4AAQSkZJRg…',
    'threshold' => 0.5
  ]),
  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.spoofsense.ai/v1/deepfake_detection"

	payload := strings.NewReader("{\n  \"data\": \"/9j/4AAQSkZJRg…\",\n  \"threshold\": 0.5\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.spoofsense.ai/v1/deepfake_detection")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"data\": \"/9j/4AAQSkZJRg…\",\n  \"threshold\": 0.5\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.spoofsense.ai/v1/deepfake_detection")

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  \"data\": \"/9j/4AAQSkZJRg…\",\n  \"threshold\": 0.5\n}"

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

{
  "product": "deepfake",
  "decision": "spoof",
  "genuine_score": 0.141725,
  "threshold": 0.5,
  "spoof_type": null,
  "latency_ms": 640,
  "credits_remaining": 1238,
  "session_id": "a1b2c3d4e5f60718293a4b5c6d7e8f90",
  "request_id": "0f1e2d3c4b5a69788766554433221100",
  "signals": {
    "content_credentials": {
      "decision": null,
      "genuine_score": null,
      "status": "not_found"
    },
    "ai_generated": {
      "decision": "real",
      "genuine_score": 0.936734
    },
    "face_manipulation": {
      "decision": "spoof",
      "genuine_score": 0.141725,
      "status": "checked",
      "face_box": [
        71,
        100,
        136,
        136
      ]
    }
  }
}

{
  "error": {
    "code": "BAD_REQUEST",
    "message": "Provide 'data' (base64) or 'image_url'"
  }
}

{
  "error": {
    "code": "UNAUTHORIZED",
    "message": "Missing, invalid, or revoked API key"
  }
}

{
  "error": {
    "code": "INSUFFICIENT_CREDITS",
    "message": "Insufficient credits"
  }
}

{
  "error": {
    "code": "IMAGE_TOO_LARGE",
    "message": "Image too large (max 10 MB)"
  }
}

{
  "error": {
    "code": "INVALID_IMAGE",
    "message": "Invalid or unsupported image"
  }
}

{
  "error": {
    "code": "UPSTREAM_ERROR",
    "message": "Inference service unavailable"
  }
}