Deepfake detection.
One POST request.

# Detect a deepfake from any image URL
curl -X POST https://deepfakedetectionapi.ai/api/detect \
  -H "Authorization: Bearer dfd_xxxx_xxxx_xxxx_xxxx" \
  -H "Content-Type: application/json" \
  -d '{"imageUrl": "https://example.com/photo.jpg"}'

# Response (200 OK, ~400ms)
{
  "is_deepfake": false,
  "confidence": 0.97,
  "model": "deepfake_detection",
  "timestamp": "2026-04-28T19:00:00Z"
}

# pip install requests
import requests

resp = requests.post(
    "https://deepfakedetectionapi.ai/api/detect",
    headers={"Authorization": "Bearer dfd_xxxx_xxxx_xxxx_xxxx"},
    json={"imageUrl": "https://example.com/photo.jpg"},
    timeout=10,
)
result = resp.json()
if result["is_deepfake"]:
    print(f"Deepfake detected (confidence {result['confidence']})")

// Node 18+ — global fetch
const resp = await fetch("https://deepfakedetectionapi.ai/api/detect", {
  method: "POST",
  headers: {
    "Authorization": "Bearer dfd_xxxx_xxxx_xxxx_xxxx",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ imageUrl: "https://example.com/photo.jpg" }),
});
const { is_deepfake, confidence } = await resp.json();