Dlazy Detect

Detect whether an image, video, or audio file is AI-generated — including visual deepfakes and the likely generator model (Midjourney, Stable Diffusion, Sora, etc.). Returns confidence scores you can threshold. 检测图片、视频或音频是否由 AI 生成：包含人脸 deepfake 识别与疑似生成模型归因，返回可用于判定的置信度分数。

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Detect whether an image, video, or audio file is AI-generated — including visual deepfakes and the likely generator model (Midjourney, Stable Diffusion, Sora, etc.). Returns confidence scores you can threshold.

Trigger Keywords

• detect
• ai-detect
• ai-generated
• deepfake
• is this AI

What It Detects

• Image / Video: whether the visual is AI-generated (ai_generated score), whether it contains a deepfake (face swap), and the likely generator (Midjourney, Stable Diffusion, DALL·E, etc.).
• Audio (audio-only files, or the audio track of a video): whether the audio is AI-generated (ai_generated_audio score).
• Text is NOT supported by this model — image, video, and audio only.

Recommended decision threshold: treat as AI-generated when the score is ≥ 0.9. The skill already applies this to the is_ai_generated / is_deepfake booleans.

Note: the underlying provider (Hive V3 Playground) has a default rate limit of 100 requests/day.

Authentication

All requests require a dLazy API key. The recommended way to authenticate is:

bash

dlazy login

This runs a device-code flow (also works in remote shells) and automatically saves your API key to the local CLI config — no manual copy/paste required.

Alternative: Set the Key Manually

bash

dlazy auth set YOUR_API_KEY

The CLI saves the key in your user config directory (~/.dlazy/config.json on macOS/Linux, %USERPROFILE%\.dlazy\config.json on Windows). You can also supply the key per-invocation via the DLAZY_API_KEY environment variable.

Getting Your API Key Manually

1. Sign in or create an account at dlazy.com
2. Go to dlazy.com/dashboard/organization/api-key
3. Copy the key shown in the API Key section

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

• Each --image_url / --video_url / --audio_url accepts EITHER a local file path OR a public URL — the CLI detects which automatically. No need to upload first or convert anything; just pass whatever you have.
  • Local file (e.g. ./photo.jpg, C:\clip.mp4): the CLI uploads it to dLazy's media storage (files.dlazy.com) and forwards the resulting URL.
  • Public URL (e.g. https://example.com/a.png): passed through as-is. The URL must be publicly reachable — links behind login/auth or on a private network can't be fetched by the detection service.
• The media is analyzed and a structured verdict (AI-generated confidence, deepfake confidence, likely generator) is returned.

Usage

CRITICAL INSTRUCTION FOR AGENT: Run dlazy detect with exactly ONE of --image_url, --video_url, or --audio_url.

bash

dlazy detect -h

Options:
  --image_url [image_url]              Image to check (local path or public URL)
  --video_url [video_url]              Video to check (local path or public URL)
  --audio_url [audio_url]              Audio to check (local path or public URL)
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout <seconds>                  Max seconds to wait for async completion (default: "1800")
  -h, --help                           display help for command

Any flag also accepts pipe references — - (auto-pick from upstream stdin), @N (n-th output), @N.path (jsonpath into output), @* (all primary values), @stdin / @stdin:path (whole envelope). See dlazy --help for details.

Output Format

json

{
  "ok": true,
  "result": {
    "tool": "detect",
    "modelId": "detect",
    "outputs": [
      {
        "type": "json",
        "id": "o_xxxxxxxx",
        "value": {
          "media_type": "image",
          "is_ai_generated": true,
          "ai_generated_score": 0.98,
          "not_ai_generated_score": 0.02,
          "is_deepfake": false,
          "deepfake_score": 0.03,
          "top_generator": "midjourney",
          "top_generator_score": 0.91,
          "ai_generated_audio_score": 0.0,
          "frames_analyzed": 1
        }
      }
    ]
  }
}

A human-readable summary is also returned in the task's texts, e.g. 疑似 AI 生成（AI 置信度 98%，疑似 midjourney）；未检出 deepfake.

Async tasks (when --no-wait is passed) return outputs: [] and a task: { generateId, status } field instead. Use dlazy status <generateId> --wait to poll.

Examples

bash

# Check a local image
dlazy detect --image_url ./photo.jpg

# Check a video (AI-generation + deepfake)
dlazy detect --video_url ./clip.mp4

# Check an audio clip (AI voice)
dlazy detect --audio_url ./voice.mp3

# Check by public URL
dlazy detect --image_url https://example.com/a.png

Error Handling

Code	Error Type	Example Message
401	Unauthorized (No API Key)	ok: false, code: "unauthorized", message: "API key is missing or invalid"
501	Missing required parameter	Provide one of image_url, video_url, or audio_url
502	Local file read error	Error: Image file/Video file not found: C:\path\to\your\file
503	API request failed (no balance)	ok: false, code: "insufficient_balance"
503	API request failed (rate limited)	HTTP status code error (429 too many requests) — Hive V3 allows 100 requests/day
504	Asynchronous task execution failed	=== Generation Failed === / {Specific error reason returned by backend}

AGENT CRITICAL INSTRUCTION:

1. If the result returns code: "insufficient_balance", you MUST tell the user their credits are insufficient and guide them to recharge: https://dlazy.com/dashboard/organization/settings?tab=credits
2. If the result returns code: "unauthorized" or indicates a missing API key, you MUST tell the user to get their API key from https://dlazy.com/dashboard/organization/api-key and save it with dlazy auth set <key>, then resume the task.

Tips

Visit https://dlazy.com for more information.