> ## Documentation Index
> Fetch the complete documentation index at: https://docs.apiany.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Moderation

> Classify image safety with a public moderation model.

Use `/v1/moderations` to classify an image and receive a normalized safety result.

```bash theme={null}
curl https://apiany.ai/v1/moderations \
  -H "Authorization: Bearer $APIANY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nsfw-image-detection",
    "image_url": "https://example.com/image.png"
  }'
```

The response follows a compact moderation shape:

```json theme={null}
{
  "object": "moderation",
  "model": "nsfw-image-detection",
  "results": [
    {
      "flagged": false,
      "label": "normal",
      "score": 0.02
    }
  ]
}
```

`flagged` is the field you should use for allow/block decisions. Keep the raw
label and score for review workflows, logging, or secondary thresholds.