Enable Integrations or automations with these events of Beeminder and Olostep
Same as “List All Goals,” but returns goals you’ve archived.
Fetch all details for one goal. Include &datapoints=true to get its full datapoint history.
Returns datapoints (entries) logged under a goal.
Retrieves all active goals of the specified user.
Charges a specified amount (USD) to the user’s account, with an optional note
Removes the specified datapoint from the goal.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Beeminder and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in Beeminder triggers actions in Olostep (or vice versa).
Absolutely. You can customize how Beeminder 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 Beeminder 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 Beeminder 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.
Beeminder is a goal-tracking tool that helps you stay accountable and motivated by visualizing your progress and setting up financial stakes for your goals. Whether you're looking to build a new habit, lose weight, or complete a project, Beeminder keeps you on track by integrating with various apps and services.
Learn MoreOlostep 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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