
When this happens...

Automatically do this!
Create Group
Search Groups
Update Group
Update Files
Search Files
Add File to group
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger When a New Public File is uploaded .
Triggers when a New Public Group created.
Trigger When a New Private File is uploaded .
Action is the task that follows automatically within your Tuskr integrations.
Upload multiple test results.
Get a project by ID or name
Create a new test run
Creates a grpoup in your Pinata account.
Search groups based on Filter.
Updates an existing Group.

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To start, connect both your Tuskr and Pinata accounts to viaSocket. Once connected, you can set up a workflow where an event in Tuskr triggers actions in Pinata (or vice versa).
Absolutely. You can customize how Tuskr data is recorded in Pinata. This includes choosing which data fields go into which fields of Pinata, setting up custom formats, and filtering out unwanted information.
The data sync between Tuskr and Pinata 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 Tuskr and Pinata. 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.
Tuskr is a comprehensive project management and task tracking tool designed to streamline workflows and enhance team productivity. It offers features like task assignments, progress tracking, and collaboration tools to ensure efficient project execution.
Learn MorePinata is a cloud-based platform that simplifies the process of uploading and managing files on the IPFS (InterPlanetary File System) network. It offers secure, decentralized storage solutions with seamless API integration, making it ideal for developers, content creators, and businesses managing large amounts of data.
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