Connect TimeOps and Olostep to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Project
Triggers when new project is created.
New User
Triggers when new user will be created.
Do thisActions
Action is the task that follows automatically within your TimeOps integrations.
Create Customer
Creates a customer.
Create Project
Creates a Project.
Create Registration
Creates a new registration.
Start Timer
Starts the timer by creating a new registration.
Stop Timer
Stop the currently running timer.
List Customers
list all the customers.
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Frequently Asked Questions
To start, connect both your TimeOps and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in TimeOps triggers actions in Olostep (or vice versa).
Absolutely. You can customize how TimeOps data is recorded in Olostep. This includes choosing which data fields go into which fields of Olostep, setting up custom formats, and filtering out unwanted information.
The data sync between TimeOps and Olostep 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 TimeOps and Olostep. 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 TimeOps
TimeOps is a comprehensive platform designed to streamline and optimize time management and tracking for businesses and individuals. It offers tools for scheduling, tracking work hours, and analyzing productivity, making it an essential tool for efficient time management.
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About Olostep
Olostep is a web data platform that enables developers and AI systems to search, crawl, and extract structured data from the public web at scale. It provides APIs for real-time web scraping, site crawling, batch data extraction, and AI-ready search with source grounding, making it ideal for powering AI agents, research workflows, and data pipelines.
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