Connect VATlayer and Roboflow to Build Intelligent Automations
Enable Integrations or automations with these events of VATlayer and Roboflow
Enable Integrations or automations with these events of VATlayer and Roboflow
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.
Compute CLIP Similarity
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Create Classification Prediction
Generate class predictions for an image.
Run Instance Segmentation
Create instance segmentation predictions (masks and labels) for a given image.
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Frequently Asked Questions
To start, connect both your VATlayer and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in VATlayer triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how VATlayer data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between VATlayer and Roboflow 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 Roboflow. 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 Roboflow
Roboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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