
When this happens...
New Resource

Automatically do this!
Scrape Website
Generate AI Answer
Start Web Crawl
Get Crawl Info
Create Map
Batch URL Scraper
Fetch Batch Items
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new resource is created
Action is the task that follows automatically within your BigML integrations.
Calculates the anomaly score of a data instance.
Find out the closest cluster to your data instance
Predict using a model , logistic regression or deepnets
Finds a resource
Get all the sources.
Get all the dataset.

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To start, connect both your BigML and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in Olostep (or vice versa).
Absolutely. You can customize how BigML 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 BigML 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 BigML 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.
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
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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