Connect Pastel and likelyai to Build Intelligent Automations

Choose a Trigger

Pastel

When this happens...

Choose an Action

likelyai

Automatically do this!

Enable Integrations or automations with these events of Pastel and likelyai

Enable Integrations or automations with these events of Pastel and likelyai

Triggers

New Canvases

New Canvases

Triggers when a new canvas is created.

New Project

New Project

Triggers when a new Project is created.

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Frequently Asked Questions

How do I start an integration between Pastel and likelyai?

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

Can we customize how data from Pastel is recorded in likelyai?

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

How often does the data sync between Pastel and likelyai?

The data sync between Pastel and likelyai 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 Pastel to likelyai?

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 Pastel and likelyai?

Yes, you can set conditional logic to control the flow of data between Pastel and likelyai. 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.

Pastel

About Pastel

Pastel helps web designers and developers collect and organize contextual feedback from colleagues and clients on the web projects they're building.

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likelyai

About likelyai

Real estate predictions and data refreshes delivered to multiple target systems automatically as well as on demand.

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