Identify outbound B2B spam emails using AI

Below is a free classifier to identify outbound B2B spam emails. Just input your text, and our AI will predict if it's B2B spam - in just seconds.

outbound B2B spam emails identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("outbound-spam", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/outbound-spam/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/outbound-spam/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if it's B2B spam.

This pretrained tabular model uses a Nyckel-created dataset and has 3 labels, including Outbound Spam, Newsletter Spam, or Inbox.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's B2B spam).

Whether you're just curious or building outbound B2B spam emails detection into your application, we hope our classifier proves helpful.

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Need to identify outbound B2B spam emails at scale?

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



  • Email Marketing: Identify and filter out spam in outbound marketing campaigns to improve deliverability and engagement rates.

  • Customer Relationship Tools: Enhance customer trust by ensuring important transactional emails are not flagged as spam.

  • Data Protection: Secure sensitive information by detecting and blocking spam that could lead to phishing or fraud attempts.

  • Content Moderation: Prevent the spread of unwanted or harmful content in user-generated materials within business platforms.

  • Compliance Management: Ensure compliance with regulations like GDPR by preventing unsolicited communications.

  • Reputation Management: Protect brand reputation by preventing the accidental sending of spam from business domains.

  • Quality Control: Maintain high standards of communication by monitoring and correcting email content before it is sent.

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