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

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

const response = await jigsaw.validate.nsfw({
  "url": "https://images.unsplash.com/photo-1633998979521-11ca9d0e6e38?q=80&w=2787&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D"
})

{
  "success": true,
  "nsfw": false,
  "nudity": false,
  "gore": false,
  "nsfw_score": 0.8023452367447058,
  "nudity_score": 0.08966292440891266,
  "gore_score": 0.0016616199864074588,
  "_usage": {
        "input_tokens": 45,
        "output_tokens": 60,
        "inference_time_tokens": 609,
        "total_tokens": 714
  }
}

​
Params

​
url
string
The image url. Not required if file_store_key is specified.
​
file_store_key
string
The key used to store the image on Jigsawstack file Storage. Not required if url is specified.
​
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.
​
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://images.unsplash.com/photo-1633998979521-11ca9d0e6e38?q=80&w=2787&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D"
})

{
  "success": true,
  "nsfw": false,
  "nudity": false,
  "gore": false,
  "nsfw_score": 0.8023452367447058,
  "nudity_score": 0.08966292440891266,
  "gore_score": 0.0016616199864074588,
  "_usage": {
        "input_tokens": 45,
        "output_tokens": 60,
        "inference_time_tokens": 609,
        "total_tokens": 714
  }
}