Bias Check API

Check Bias

Check text content for potential biases and get detailed analysis.

Request

Fair Usage

Maximize your API usage! Characters are counted in bundles of 500:

• Short texts (up to 500 chars) = 1 request
• Medium content (501-1000 chars) = 2 requests
• Longer content scales proportionally (e.g., 15000 chars = 30 requests)

Request Structure

JavaScript

const response = await fetch('https://api.xstereotype.com/api/bias/check-bias', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-Api-Key': 'YOUR_API_KEY'
  },
  body: JSON.stringify({
    text: "His handwriting is like a asian boy"
  })
});

Python

import requests

response = requests.post(
    'https://api.xstereotype.com/api/bias/check-bias',
    headers={
        'X-Api-Key': 'YOUR_API_KEY'
    },
    json={
        'text': 'His handwriting is like a asian boy'
    }
)

PHP

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://api.xstereotype.com/api/bias/check-bias');
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_HTTPHEADER, array(
    'Content-Type: application/json',
    'X-Api-Key: YOUR_API_KEY'
));
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([
    'text' => 'His handwriting is like a asian boy'
]));

$response = curl_exec($ch);

C#

using (var client = new HttpClient())
{
    client.DefaultRequestHeaders.Add("X-Api-Key", "YOUR_API_KEY");

    var response = await client.PostAsync(
        "https://api.xstereotype.com/api/bias/check-bias",
        new StringContent(
            JsonSerializer.Serialize(new {
                text = "His handwriting is like a asian boy"
            }),
            Encoding.UTF8,
            "application/json"
        )
    );
}

Go

client := &http.Client{}
requestBody := map[string]string{
    "text": "His handwriting is like a asian boy",
}
jsonBody, _ := json.Marshal(requestBody)

req, _ := http.NewRequest("POST", "https://api.xstereotype.com/api/bias/check-bias", bytes.NewBuffer(jsonBody))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("X-Api-Key", "YOUR_API_KEY")

response, err := client.Do(req)

Ruby

require 'net/http'
require 'json'

uri = URI('https://api.xstereotype.com/api/bias/check-bias')
http = Net::HTTP.new(uri.host, uri.port)

request = Net::HTTP::Post.new(uri)
request['Content-Type'] = 'application/json'
request['X-Api-Key'] = 'YOUR_API_KEY'
request.body = {
  text: 'His handwriting is like a asian boy'
}.to_json

response = http.request(request)

Java

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.xstereotype.com/api/bias/check-bias"))
    .header("Content-Type", "application/json")
    .header("X-Api-Key", "YOUR_API_KEY")
    .POST(HttpRequest.BodyPublishers.ofString(
        "{\"text\": \"His handwriting is like a asian boy\"}"
    ))
    .build();

HttpResponse<String> response = client.send(request,
    HttpResponse.BodyHandlers.ofString());

JSON Request

{
  "text": "His handwriting is like a asian boy"
}

Headers

Header	Required	Description
X-Api-Key	Yes	Your API authentication key
Content-Type	Yes	Must be application/json

Response

Success (200 OK)

{
    "data": {
        "content_id": "aa3b8b64-71eb-41d2-8e19-e4f8239bbf5c",
        "bias_Label": "race",
        "explanation": "The query \"His handwriting is like an asian boy\" perpetuates a stereotype based on race by suggesting that handwriting can be categorized by ethnicity. This aligns with the \"race\" label found in several retrieved results that associate characteristics with specific racial groups.",
        "recommendation": "Rephrase the query to focus on the characteristics of the handwriting itself, avoiding racial generalizations. For example, try \"His handwriting is neat and precise\" or \"His handwriting is small and delicate.\"",
        "bias_score": 61.71,
        "detail": "Successfully checked bias."
    },
    "message": "Operation successful",
    "isSuccess": true
}

Error (401 Unauthorized)

{
    "message": "Invalid or missing API key",
    "isSuccess": false
}

Error (400 Bad Request)

{
    "message": "Invalid request format",
    "isSuccess": false
}

Error (400 Bad Request)

{
"id": 0,
"data": null,
"isSuccess": false,
"message": "Insufficient balance, Please Recharge!!!"
}

Response Fields

Field	Type	Description
content_id	string	Unique identifier for the analyzed content
bias_Label	string	Category of detected bias (e.g., race, gender)
explanation	string	Detailed explanation of the detected bias
recommendation	string	Suggestions for removing or reducing bias
bias_score	number	Numerical score indicating bias severity (0-100)
detail	string	Additional processing information
message	string	Operation status message
isSuccess	boolean	Indicates if the operation was successful

Bias Score Ranges

Range	Description
0-30	Low bias
31-70	Moderate bias
71-100	High bias