Connect Financial Cents and MongoDB to Build Intelligent Automations
Enable Integrations or automations with these events of Financial Cents and MongoDB
Enable Integrations or automations with these events of Financial Cents and MongoDB
Triggers
New Contact
Triggers when a new contact is created.
New Client
When new client is created
Update Contact
Trigge when contact updated
Update Client
Trigger when client updated
Delete Contact
Trigger when contact delete .
Delete Client
Trigger when client delete.
Actions
Find Clients
Finds a client based on name.
Create Contact
Create a new contact.
Create Client
Create a client
Update Contact
Update an existing contact, probably with input from previous steps.
Find Contacts
Finds a contact based on name.
Find Templates
Finds a template based on title.
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Frequently Asked Questions
To start, connect both your Financial Cents and MongoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Financial Cents triggers actions in MongoDB (or vice versa).
Absolutely. You can customize how Financial Cents data is recorded in MongoDB. This includes choosing which data fields go into which fields of MongoDB, setting up custom formats, and filtering out unwanted information.
The data sync between Financial Cents and MongoDB 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 Financial Cents and MongoDB. 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 Financial Cents
Financial Cents is a project and customer management software for bookkeepers and accountants
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About MongoDB
MongoDB is a leading NoSQL database platform that provides a flexible and scalable solution for managing large volumes of data. It is designed to handle unstructured data and offers high performance, high availability, and easy scalability.
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