Connect Signaturely and Nyckel to Build Intelligent Automations
Enable Integrations or automations with these events of Signaturely and Nyckel
Enable Integrations or automations with these events of Signaturely and Nyckel
Actions
Create Folder
This action creates a new folder.
Search Document
Search your documents.
Rename Document
This action rename the document.
Delete Document
This action deletes the document.
Create signing request
Create a signature request from a selected template with a title and optional message; supports test mode.
Import to Classifier
Import data to your Nyckel classifier
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Frequently Asked Questions
To start, connect both your Signaturely and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Signaturely triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Signaturely 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 Signaturely 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 Signaturely 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 Signaturely
Signaturely offers an integration that enables you to create documents from templates or trigger actions such as sending or completing documents automatically. Streamline your workflow and save time with Signaturely's efficient integration.
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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