Connect PostgreSQL and PhoneValidator (Fake Number Check) to Build Intelligent Automations
Choose a Trigger
When this happens...
Postgresql (mutiple table)
Choose an Action
Automatically do this!
- Request a new Action for PhoneValidator (Fake Number Check)
Enable Integrations or automations with these events of PostgreSQL and PhoneValidator (Fake Number Check)
Enable Integrations or automations with these events of PostgreSQL and PhoneValidator (Fake Number Check)
Triggers
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
Actions
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert row
Adds a new row into the table.
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Frequently Asked Questions
To start, connect both your PostgreSQL and PhoneValidator (Fake Number Check) accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in PhoneValidator (Fake Number Check) (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in PhoneValidator (Fake Number Check). This includes choosing which data fields go into which fields of PhoneValidator (Fake Number Check), setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and PhoneValidator (Fake Number Check) 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 PostgreSQL and PhoneValidator (Fake Number Check). 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 PhoneValidator (Fake Number Check)
Phone Validator Fake Number Check quickly detects fake phone numbers like 555-555-5555 and 123-456-7890. There is a 100% certainty that a number we have identified as fake cannot receive a call or text.
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