Integration
Connect Raindrop.io to BigML
When something happens in Raindrop.io, your agent does the next thing in BigML. Describe it in plain language and the automation is built, tested on every branch and kept running.
Build it
What do you want Raindrop.io and BigML to do together?
Describe it and your agent reads both APIs, builds the automation, tests every branch and ships it. The list below is what exists today, not the limit.
Ask the assistant
You'll sign in before anything runs. What you typed comes with you.
Or work from Claude Code
Install the APIANT plugin for Claude Code and build, edit, test and read run history from your terminal. Every plan gets this, including free, and it spends no assistant credits.
Connect Claude CodeEverything your agent can do with Raindrop.io and BigML
Triggers and actions 5 triggers ยท 5 actions
Trigger
New Favorited ItemTriggers when you favorite an item.
- New Item
Triggers when a new item is created.
- New Item Moved to Collection
Triggers when an item moved to collection.
- New Tagged Item
Triggers when you tag an item.
- Create Item
Creates an Item
Trigger
New projectTriggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
- Get Resource Status
Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
- List Datasets
List BigML datasets, optionally filtered/paginated (GET /dataset).
- List Models
List BigML models, optionally filtered/paginated (GET /model).
- List Sources
List BigML sources, optionally filtered/paginated (GET /source).
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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