Connect Needle and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Needle
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Needle and kazm
Enable Integrations or automations with these events of Needle and kazm
Actions
Create New Collection
Create a new collection
List All Collections
List all your collections
List Collection Files
List all files in a collection
Add Files to Collection
Add files to a collection
Search Collection Content
Find items by text & filters
Delete Files From Collection
Delete files from a collection
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Frequently Asked Questions
To start, connect both your Needle and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Needle triggers actions in kazm (or vice versa).
Absolutely. You can customize how Needle 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 Needle 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 Needle 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 Needle
Needle is an advanced AI-driven platform designed to enhance business operations through intelligent automation and data-driven insights. It leverages cutting-edge artificial intelligence technologies to streamline processes, improve decision-making, and drive efficiency across various business functions.
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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