
When this happens...
New Anime Is Added To Watchlist

Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when anime is added
Triggers when a new resource is created
Action is the task that follows automatically within your anilist integrations.
Find anime and key details
Search anime and add to plan
Fetch AniList anime watchlist
Retrieve trending anime list
Save a score (0-10) and status
Calculates the anomaly score of a data instance.

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To start, connect both your anilist and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in anilist triggers actions in BigML (or vice versa).
Absolutely. You can customize how anilist data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between anilist and BigML 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 anilist and BigML. 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.
A platform for tracking and cataloging anime and manga, including user lists, progress, and ratings.
Learn MoreBigML 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.
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