Connect Clearout and TimescaleDB to Build Intelligent Automations

Choose a Trigger

Clearout

When this happens...

Choose an Action

TimescaleDB

Automatically do this!

Enable Integrations or automations with these events of Clearout and TimescaleDB

Enable Integrations or automations with these events of Clearout and TimescaleDB

Actions

Verify Email Address

Verify Email Address

Verify an email address to know its status (Valid or Invalid or Catch-All or Disposable or Free Account, Spamtrap or Toxic).

Verify Email Address for CatchAll

Verify Email Address for CatchAll

Verify an email address for Catch-All. A 'Catch-All' email account is the account that captures emails sent to any invalid email addresses of the domain and never bounces it back to the sender.

Verify Email Address for Disposable

Verify Email Address for Disposable

Verify email address for Disposable. Generally, a disposable email address is a temporary mailbox that can only receive an email, self-destructed after a certain time elapses. It is also known by names like throwaway email, fake-mail or trash-mail, such type of email addresses are used for account activation, thus by not revealing personal email address to the service provider, so it is highly recommended not to send emails to disposable addresses

Verify Email Address for Business Email

Verify Email Address for Business Email

Verify email address belongs to Business or Work or Professional. Most business sites/applications require to capture only the business email addresses. However, in certain contexts, businesses can receive better open/response rates when only sending to non-free email addresses.

Verify Email Address for Role

Verify Email Address for Role

Verify email address for role account, typically these addresses are associated with a role or group (postmaster, support, sales, etc.) account instead of a person. In some instances, mailing to a role address can lead to a decreased open rate and is generally advised against while sending an email.

Request a new Action for Clearout

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between Clearout and TimescaleDB?

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

Can we customize how data from Clearout is recorded in TimescaleDB?

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

How often does the data sync between Clearout and TimescaleDB?

The data sync between Clearout and TimescaleDB 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 Clearout to TimescaleDB?

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 Clearout and TimescaleDB?

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

Clearout

About Clearout

Clearout is a powerful email validation and verification platform designed to ensure your emails reach the inbox. It eliminates bounces, detects fake or risky addresses, prevents fraudulent signups, and safeguards your sender reputation — helping you maintain clean, reliable contact lists for better deliverability and campaign success.

Learn More
TimescaleDB

About TimescaleDB

TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.

Learn More