Anonymize PII

Glaider allows you to anonymize personally identifiable information (PII) in text data before processing it with AI models or storing it. The service automatically detects and anonymizes sensitive information such as personal names, locations, organizations, email addresses, IP addresses, access tokens, API keys, credit card numbers, and more.

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Endpoint

POST https://api.glaider.it/v1/anonymize-pii

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Headers

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Authentication

Replace YOUR_API_KEY with your actual API key.

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Request Body Parameters

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Example Request

{
  "prompt": "Hi, I'm Lorenzo Smith working at Google. You can reach me at lorenzo.smith@gmail.com or visit our office at 1600 Amphitheatre Parkway, Mountain View. My API key is sk_test_4eC39HqLyjWDarja4fqee2d23dtT1zdp7dc and my credit card is 4532-7153-3790-4421. Our server IP is 192.168.1.1"
}

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Responses

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Success Response

• Status Code: 200 OK
• Content-Type: application/json
• Body:

{
  "anonymized_text": "Hi, I'm [PER_0] working at [ORG_0]. You can reach me at [Email Address_0] or visit our office at 1600 [LOC_0], [LOC_1]. My API key is [Access Token_0] and my credit card is [Credit Card Number_0]. Our server IP is [IPv4 Address_0]",
  "entities": {
    "[PER_0]": "Lorenzo Smith",
    "[ORG_0]": "Google",
    "[Email Address_0]": "lorenzo.smith@gmail.com",
    "[LOC_0]": "Amphitheatre Parkway",
    "[LOC_1]": "Mountain View",
    "[Access Token_0]": "sk_test_4eC39HqLyjWDarja4fqee2d23dtT1zdp7dc",
    "[Credit Card Number_0]": "4532-7153-3790-4421",
    "[IPv4 Address_0]": "192.168.1.1"
  }
}

​

Error Responses

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400 Bad Request

{
  "status": "error",
  "message": "Invalid input: The 'prompt' field is required."
}

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401 Unauthorized

{
  "status": "error",
  "message": "Unauthorized: Invalid or missing API key."
}

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429 Too Many Requests

{
  "status": "error",
  "message": "Rate limit exceeded: Please try again later."
}

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500 Internal Server Error

{
  "status": "error",
  "message": "Internal server error."
}

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Response Fields Description

• anonymized_text (string): The input text with all detected sensitive information replaced with anonymized tokens.
• entities (object): A mapping of anonymized tokens to their original values.

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Supported Entity Types

The API automatically detects and anonymizes the following types of sensitive information:

• Personal names (e.g., [PER_n])
• Location names (e.g., [LOC_n])
• Organization names (e.g., [ORG_n])
• Email addresses (e.g., [Email Address_n])
• IP addresses (e.g., [IPv4 Address_n])
• Access tokens (e.g., [Access Token_n])
• API keys (e.g., [API Key_n])
• Credit card numbers (e.g., [Credit Card Number_n])

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Usage Examples

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Python

import requests

url = "https://api.glaider.it/v1/anonymize-pii"
api_key = "YOUR_API_KEY"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

data = {
    "prompt": "Hi, I'm Lorenzo Smith working at Google. You can reach me at lorenzo.smith@gmail.com or visit our office at 1600 Amphitheatre Parkway, Mountain View. My API key is sk_test_4eC39HqLyjWDarja4fqee2d23dtT1zdp7dc and my credit card is 4532-7153-3790-4421. Our server IP is 192.168.1.1"
}

response = requests.post(url, json=data, headers=headers)
print(response.json())

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Additional Information

• Rate Limiting: The API enforces rate limits to ensure fair usage. If you exceed the rate limit, you will receive a 429 Too Many Requests response. Please implement appropriate retry logic with exponential backoff in your applications.

• Error Handling: Always check the response status code and handle errors appropriately in your application.

• Security: Keep your API key secure. Do not expose it in client-side code, public repositories, or logs.

• Support: For assistance or inquiries, contact our support team at info@glaider.it.

Example Scenario:

Suppose you are processing user-submitted text and need to ensure that any personally identifiable information (PII) is anonymized before storing it or processing it further. You can use the anonymize-pii endpoint to detect and replace sensitive information with anonymized tokens.

By sending the text to the API, you receive the anonymized version along with a mapping of the anonymized tokens to the original values. This allows you to safely work with the anonymized text while still having the ability to refer back to the original data if necessary, in a secure and controlled manner.