Connect Phone Validator and CryptoPanic 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 CryptoPanic
Enable Integrations or automations with these events of Phone Validator and CryptoPanic
Enable Integrations or automations with these events of Phone Validator and CryptoPanic
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 CryptoPanic accounts to viaSocket. Once connected, you can set up a workflow where an event in Phone Validator triggers actions in CryptoPanic (or vice versa).
Absolutely. You can customize how Phone Validator data is recorded in CryptoPanic. This includes choosing which data fields go into which fields of CryptoPanic, setting up custom formats, and filtering out unwanted information.
The data sync between Phone Validator and CryptoPanic 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 CryptoPanic. 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 CryptoPanic
CryptoPanic is a news aggregator platform designed for cryptocurrency enthusiasts and investors. It provides real-time updates and alerts on the latest news, market trends, and price changes in the cryptocurrency world, helping users make informed decisions.
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