Identify if phone number is in a message
using AI
Below is a free classifier to identify if phone number is in a message. Just input your text, and our AI will predict if a phone number is present in the message - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-phone-number-is-in-a-message", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-phone-number-is-in-a-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-phone-number-is-in-a-message/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if a phone number is present in the message.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Phone Number and Does Not Contain Phone Number.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if a phone number is present in the message).
Whether you're just curious or building if phone number is in a message detection into your application, we hope our classifier proves helpful.
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Need to identify if phone number is in a message at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Automation: This function can be integrated into customer support chatbots to identify messages containing phone numbers. By extracting this information, support teams can quickly escalate issues to human agents or initiate follow-up calls to improve response times.
- Lead Generation Tracking: Sales teams can utilize this identifier in their lead tracking systems to monitor customer inquiries containing phone numbers. By flagging these messages, companies can prioritize leads for follow-up and increase conversion rates.
- Fraud Detection: Financial institutions can implement this function to monitor incoming messages for phone numbers that may indicate fraudulent activity. By identifying suspicious patterns, the system can alert security teams to investigate further and take protective measures.
- Marketing Campaign Optimization: Businesses can analyze messages for phone numbers to optimize marketing campaigns. By understanding which campaigns generate the most inbound phone communication, companies can refine their marketing strategies and improve targeting efforts.
- Data Quality Assurance: Organizations can use this identifier to clean up their databases by identifying messages that may contain erroneous or outdated phone numbers. By flagging these entries, teams can take action to verify and update contact information, enhancing overall data quality.
- Regulatory Compliance: Companies in regulated industries can employ this function to ensure compliance with laws regarding the handling of sensitive information, such as phone numbers. By tracking messages that contain such data, organizations can maintain records and provide necessary audits for regulatory bodies.
- User Privacy Monitoring: This function can assist companies in implementing user privacy protocols by detecting messages that contain personal information like phone numbers. By monitoring and addressing this data, organizations can uphold privacy regulations and enhance consumer trust.