Identify if credit card is in a text message using AI

Below is a free classifier to identify if credit card is in a text message. Just input your text, and our AI will predict if a credit card is present in the text message - in just seconds.

if credit card is in a text message identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-credit-card-is-in-a-text-message", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-credit-card-is-in-a-text-message/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_text_here"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_text_here"}' \
        https://www.nyckel.com/v1/functions/if-credit-card-is-in-a-text-message/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if a credit card is present in the text message.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Credit Card and Does Not Contain Credit Card.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if a credit card is present in the text message).

Whether you're just curious or building if credit card is in a text message detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if credit card is in a text message at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Fraud Detection Alert: This function can be integrated into banking applications to monitor incoming messages for unauthorized credit card usage. If a message contains a credit card number, the system can trigger an immediate alert to the user and the fraud detection team to investigate potential fraudulent activity.

  • Customer Service Automation: Customer service chatbots can leverage this function to automatically flag messages that include credit card details. This allows the bot to initiate a secure and encrypted conversation flow for handling sensitive information, ensuring customer data privacy and compliance with regulations.

  • Transaction Confirmation: E-commerce platforms can use this identifier to confirm transactions via text messages. By detecting credit card numbers in messages, the system can automatically validate purchases, thereby enhancing transaction security and customer trust.

  • Data Security Compliance: Organizations can implement this function to aid in compliance with data protection regulations such as PCI DSS. By identifying messages with credit card information, businesses can ensure that they properly handle, store, and delete sensitive data to mitigate risks of data breaches.

  • Marketing Campaign Optimization: Marketing teams can analyze text interactions to ascertain customer interest based on credit card mentions. By identifying trends and patterns related to credit card usage in messages, businesses can tailor promotions or services that align with customer spending habits.

  • Chargeback Management: Financial institutions can use this identifier to support chargeback disputes. By flagging messages that contain credit card numbers, they can better assess the legitimacy of claims and streamline the resolution process, reducing time and resource expenditure.

  • Personal Finance Management: Financial apps can utilize this function to help users track expenses. By detecting and organizing messages that include credit card numbers, users can gain insights into their spending patterns and receive recommendations for budgeting and saving.

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