Connect VATlayer and Nyckel to Build Intelligent Automations
Enable Integrations or automations with these events of VATlayer and Nyckel
Enable Integrations or automations with these events of VATlayer and Nyckel
Actions
Validate VAT number
Verify a VAT number and get its country and validation status
Get VAT rate
Get the VAT rate for a country or VAT number.
Get VAT rates lists
Retrieve current VAT rates (standard and reduced) for countries.
Import to Classifier
Import data to your Nyckel classifier
Classify
Classify image or text data
Center Detect
Detect Objects center in images
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Frequently Asked Questions
To start, connect both your VATlayer and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in VATlayer triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how VATlayer data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between VATlayer and Nyckel typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between VATlayer and Nyckel. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About VATlayer
VATlayer provides a reliable and easy-to-use API for VAT number validation, VAT rates, and VAT compliance. It is designed to help businesses manage their VAT obligations efficiently and accurately.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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