Connect Harvestr and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
New User
New Company
Company Updated
New Discoveries
New Messages
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Harvestr and kazm
Enable Integrations or automations with these events of Harvestr and kazm
Triggers
New User
Triggers when a new user created.
New Company
Tiggers when a new company Cretaed.
Company Updated
Triggers when a new Company Update.
New Discoveries
Tiggers when a new discoveries created.
New Messages
Tiggera when a new message Cretaed.
Actions
Create Message
Creates a new message in your inbox.
Create Company
Create a new Company.
List Users
List all users.
List Companies
List all companies
List Components
List all components
List Discoveries
List all discoveries
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Frequently Asked Questions
To start, connect both your Harvestr and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Harvestr triggers actions in kazm (or vice versa).
Absolutely. You can customize how Harvestr data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Harvestr and kazm 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 Harvestr and kazm. 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 Harvestr
Harvestr is a product management tool that lets you centralize user feedback, prioritize features and communicate on your roadmap.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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