Connect Form.taxi and Nanonets to Build Intelligent Automations

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Form.taxi

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Nanonets

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Enable Integrations or automations with these events of Form.taxi and Nanonets

Enable Integrations or automations with these events of Form.taxi and Nanonets

Triggers

New Submission

New Submission

Triggers when a new form submission is done.

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Frequently Asked Questions

How do I start an integration between Form.taxi and Nanonets?

To start, connect both your Form.taxi and Nanonets accounts to viaSocket. Once connected, you can set up a workflow where an event in Form.taxi triggers actions in Nanonets (or vice versa).

Can we customize how data from Form.taxi is recorded in Nanonets?

Absolutely. You can customize how Form.taxi data is recorded in Nanonets. This includes choosing which data fields go into which fields of Nanonets, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Form.taxi and Nanonets?

The data sync between Form.taxi and Nanonets typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Form.taxi to Nanonets?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Form.taxi and Nanonets?

Yes, you can set conditional logic to control the flow of data between Form.taxi and Nanonets. 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.

Form.taxi

About Form.taxi

Form.taxi is a platform designed to streamline the process of creating and managing forms specifically for the transportation industry. It allows users to easily build custom forms for bookings, feedback, and other transportation-related needs.

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Nanonets

About Nanonets

Nanonets is a cutting-edge AI platform that specializes in automating data extraction and processing using machine learning models. It allows businesses to streamline their workflows by converting unstructured data into structured formats, enhancing efficiency and accuracy in data handling.

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