Connect Phone Validator and Scale to Build Intelligent Automations
Enable Integrations or automations with these events of Phone Validator and Scale
Enable Integrations or automations with these events of Phone Validator and Scale
Actions
Validate Phone Number
Lookup a North American phone number to identify line type (mobile, landline, VoIP, toll‑free), carrier, location, and detect if the number is fake.
Get Tasks
Retrieve all the tasks for given project.
Create Batch
Create a new batch in a project to group related tasks for processing.
Pause Batch
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
Resume Batch
Resume processing of a paused Batch. Previously paused tasks will be resumed.
Finalize a batch
Mark a Scale batch as complete so no new tasks can be added.
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Frequently Asked Questions
To start, connect both your Phone Validator and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in Phone Validator triggers actions in Scale (or vice versa).
Absolutely. You can customize how Phone Validator data is recorded in Scale. This includes choosing which data fields go into which fields of Scale, setting up custom formats, and filtering out unwanted information.
The data sync between Phone Validator and Scale 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 Phone Validator and Scale. 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 Phone Validator
Use the official API of the popular phone line-type identification website, phonevalidator.com. Determine if any North American-based phone number is a landline, cell, VOIP or toll-free.
Learn MoreAbout Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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