Connect Phone Validator and MonkeyLearn Legacy to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Phone Validator
Choose an Action
Automatically do this!
- Request a new Action for MonkeyLearn Legacy
Enable Integrations or automations with these events of Phone Validator and MonkeyLearn Legacy
Enable Integrations or automations with these events of Phone Validator and MonkeyLearn Legacy
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.
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Frequently Asked Questions
To start, connect both your Phone Validator and MonkeyLearn Legacy accounts to viaSocket. Once connected, you can set up a workflow where an event in Phone Validator triggers actions in MonkeyLearn Legacy (or vice versa).
Absolutely. You can customize how Phone Validator data is recorded in MonkeyLearn Legacy. This includes choosing which data fields go into which fields of MonkeyLearn Legacy, setting up custom formats, and filtering out unwanted information.
The data sync between Phone Validator and MonkeyLearn Legacy 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 MonkeyLearn Legacy. 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 MonkeyLearn Legacy
MonkeyLearn is a Text Analysis platform that allows you to classify and extract actionable data from raw texts like emails, chats, webpages, documents, tweets and more! You can classify texts with custom tags like sentiment or topic, and extract any particular data like organizations or keywords.
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