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POST
/
v1
/
validate
/
nsfw
import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.validate.nsfw({
  "url": "https://jigsawstack.com/preview/nsfw-example.jpg"
})

{
  "success": true,
  "nsfw": false,
  "nudity": false,
  "gore": false,
  "nsfw_score": 0.8223792436143141,
  "nudity_score": 0.08542560786008835,
  "gore_score": 0.0015945120248943567,
  "_usage": {
        "input_tokens": 15,
        "output_tokens": 60,
        "inference_time_tokens": 275,
        "total_tokens": 350
  }
}

Documentation Index

Fetch the complete documentation index at: https://jigsaw-13.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

​
Body

​
url
string
The image url.
​
file_store_key
string
The key used to store the image on Jigsawstack file. Learn more about how to handle files in Jigsawstack’s Handling Files section.
​
x-api-key
string
required
Your JigsawStack API key

​
Response

​
success
boolean
Indicates whether the call was successful.
​
_usage
object
Usage information for the API call.
​
log_id
string
A unique identifier for the request
​
nsfw
boolean
Indicates whether NSFW content was detected in the image.
​
nudity
boolean
Indicates whether nudity was detected in the image.
​
gore
boolean
Indicates whether gore/violence was detected in the image.
​
nsfw_score
number
Confidence score for NSFW content detection (0-1 scale).
​
nudity_score
number
Confidence score for nudity detection (0-1 scale).
​
gore_score
number
Confidence score for gore/violence detection (0-1 scale).
import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.validate.nsfw({
  "url": "https://jigsawstack.com/preview/nsfw-example.jpg"
})

{
  "success": true,
  "nsfw": false,
  "nudity": false,
  "gore": false,
  "nsfw_score": 0.8223792436143141,
  "nudity_score": 0.08542560786008835,
  "gore_score": 0.0015945120248943567,
  "_usage": {
        "input_tokens": 15,
        "output_tokens": 60,
        "inference_time_tokens": 275,
        "total_tokens": 350
  }
}