A pretrained if has expiration data classifier that sorts text into one of 2 categories. Use the if has expiration data API immediately, no training required, then adapt it to your own data when you need more.
Drop in some text and get the prediction back. No signup, no setup.
A sample of the 2 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Once you've added this classifier to your console, you get your own copy of it behind your own endpoint. Invoke it with any HTTP client:
curl
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer $NYCKEL_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "The text you want to classify"}'Python
import requests
# Get an access token: https://www.nyckel.com/docs/api/overview/authentication/
token = "YOUR_ACCESS_TOKEN"
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer " + token},
json={"data": "The text you want to classify"},
)
print(response.json())Example response
{
"labelName": "Has Expiration Date",
"labelId": "label_...",
"confidence": 0.92
}Trained on a Nyckel-curated dataset covering 2 if has expiration data categories, served on Nyckel's own infrastructure — your text snippet stays on Nyckel.
Send raw text to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
This use case allows businesses to efficiently track perishable goods by identifying items with expiration dates. By automating the classification of products nearing their expiration, managers can prioritize stock replenishment and reduce waste.
Companies within the food industry can utilize this function to ensure compliance with safety regulations by identifying products that have expiration dates. This categorization helps in maintaining quality standards and avoiding legal issues related to expired items.
Pharmacies and healthcare facilities can leverage this classification feature to monitor medication expiration dates. By ensuring timely inventory rotation and alerting staff about impending expirations, they can enhance patient safety and efficacy of treatments.
Subscription services that offer consumable products can apply this functionality to manage items with expiration dates effectively. By organizing the inventory based on expiration, companies can guarantee that customers receive fresh products and minimize returns or dissatisfaction.
Online retailers can implement the identifier to filter out expired products in their listings. This ensures that only valid and safe items are sold, thus enhancing customer trust and satisfaction.
Businesses operating within a supply chain can use this classification to streamline processes involving perishable items. By tracking expiration dates, companies can make informed decisions on order placements and logistics, resulting in cost savings and improved efficiency.
Hospitals and clinics can apply this function to maintain their medical supply inventories by identifying items with expiration dates. This allows healthcare providers to ensure that all medical supplies are current and safe for patient use, ultimately improving patient care.
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of text samples in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
No. This if has expiration data classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.