Identify distance category using AI

Below is a free classifier to identify distance category. Just input your text, and our AI will predict the appropriate distance category for a given input. - in just seconds.

distance category identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("distance-category", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/distance-category/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/distance-category/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict the appropriate distance category for a given input..

This pretrained text model uses a Nyckel-created dataset and has 13 labels, including Continental, Extragalactic, Galactic, Intercontinental, Interplanetary, Interstellar, Intrasolar, Local, National and Planetary.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the appropriate distance category for a given input.).

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

Recommended Classifiers

Need to identify distance category at scale?

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



  • Customer Segmentation: The 'distance category' identifier can classify customers based on their proximity to a store or service location. Businesses can tailor marketing strategies or promotions to engage local versus distant customers effectively, maximizing outreach and sales.

  • Delivery Optimization: This function can categorize delivery zones based on distance, helping logistics companies optimize their routing and scheduling. By understanding which areas fall into specific distance categories, they can improve time efficiency and reduce transportation costs.

  • Store Performance Analysis: Retailers can analyze store performance based on customer traffic categorized by distance. This assessment can inform decisions about store placement, inventory needs, and local marketing strategies for better overall performance.

  • Geographic Targeting: Marketing agencies can use distance categories to focus their campaigns more effectively. By identifying potential customers within optimal distances, they can design location-specific advertising initiatives that drive higher engagement and conversion rates.

  • Real Estate Assessment: Real estate firms can leverage distance categorization to assess property values based on proximity to amenities and services. This information can help buyers and sellers determine fair pricing while providing agents with valuable insights for property recommendations.

  • Event Planning: Event organizers can use distance categories to gauge the target audience's accessibility to the venue. By understanding how far attendees will typically travel, planners can optimize location choices, marketing efforts, and logistical arrangements for the event.

  • Risk Management: Insurance companies can utilize distance categorization to assess risk based on property proximity to certain geographical features or hazards. By analyzing distance-related data, they can provide more accurate premiums and coverage options based on perceived risk levels.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access