Identify variable status using AI

Below is a free classifier to identify variable status. Just input your text, and our AI will predict if the variable is active - in just seconds.

variable status identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("variable-status", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/variable-status/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/variable-status/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the variable is active.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Non Variable and Variable.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the variable is active).

Whether you're just curious or building variable status detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify variable status at scale?

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



  • Customer Support Ticket Classification: This use case involves automatically classifying incoming customer support tickets based on their variable status, such as "open," "in progress," or "resolved." By effectively categorizing tickets, support teams can prioritize their workload and ensure timely responses.

  • Fraud Detection in Financial Transactions: This scenario employs text classification to identify the status of financial transactions, categorizing them as "approved," "pending," or "flagged." This allows financial institutions to quickly assess transactions for potential fraud, reducing risks and enhancing security measures.

  • Job Application Screening: In recruitment processes, this function can classify job applications based on their status, e.g., "under review," "interview scheduled," or "rejected." This helps HR teams efficiently manage candidates through the hiring funnel, improving workflow and communication.

  • Document Management System: A text classification system can classify documents based on variable status, such as "draft," "review," or "final." This enables organizations to maintain an organized repository, ensuring team members can easily locate current and relevant documents.

  • E-commerce Order Processing: This use case involves classifying order statuses in an e-commerce platform, such as "processing," "shipped," or "delivered." By automating this classification, businesses can provide real-time updates to customers and enhance the overall shopping experience.

  • Patient Status Tracking in Healthcare: In a healthcare setting, this function can categorize patient statuses, such as "admitted," "in treatment," or "discharged." This classification supports healthcare providers in streamlining patient care processes and improving communication about patient progress.

  • Compliance Document Monitoring: This use case leverages text classification to identify the status of compliance-related documents, such as "pending review," "approved," or "expired." This helps organizations manage their compliance documentation more effectively, ensuring adherence to regulations and standards.

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