Identify starter functions
using AI
Below is a free classifier to identify starter functions. Just input your text, and our AI will predict if the email is spam - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("starter-functions", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/starter-functions/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/starter-functions/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the email is spam.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Successful and Unsuccessful.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the email is spam).
Whether you're just curious or building starter functions detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify starter functions at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Ticket Classification: This function can automatically classify incoming customer support tickets into predefined categories such as technical support, billing inquiries, and general questions. By streamlining the categorization process, support teams can prioritize and address customer queries more efficiently.
- Social Media Sentiment Analysis: Businesses can utilize this function to classify social media posts and comments as positive, negative, or neutral. This analysis enables companies to gauge public sentiment about their brand and react promptly to any potential issues.
- News Article Categorization: News organizations can use this function to classify articles into topics such as politics, health, sports, and entertainment. This allows readers to easily navigate to their areas of interest and helps in curating personalized news feeds.
- E-commerce Product Tagging: Retailers can implement this function to automatically classify and tag products based on their attributes, such as fashion, electronics, or home goods. Accurate tagging leads to better searchability, improved recommendations, and a more streamlined shopping experience for customers.
- Job Application Screening: HR departments can use this function to classify job applications based on qualifications, experience, and skills. This automated screening process helps recruiters to quickly identify suitable candidates and reduces the time spent on manual reviews.
- Email Filtering and Categorization: Email clients can leverage this function to classify and filter incoming emails into categories like personal, promotional, or spam. This organization helps users manage their inboxes more efficiently, allowing them to focus on important messages.
- Document Organization for Legal Firms: Legal firms can use this function to classify legal documents, correspondence, and evidence into relevant categories such as contracts, litigation, and compliance. This structured organization improves retrieval efficiency and supports better case management.