What to Ask Leina to Do with Kaggle
Copy a prompt, add your details, and send it to Leina in your connected team chat.
Search datasets by topic, format, size, and license family.
Find Kaggle CSV datasets about [topic] under [maximum size] with license family [license]. Compare their available metadata and include resource references for inspection.
Search notebook records connected to a selected dataset.
Find Kaggle Python notebooks using dataset [owner/dataset-slug]. Summarize the metadata available for each candidate without claiming to have read its source.
Get Started with Kaggle
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Connect Your Account
Connect your Kaggle legacy API key and username.
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Try a Task
Tell Leina what you need in your team chat. Include the source, destination, and expected result.
Set Up Leina in Your Chat → -
Check the Result
Review the result and any changes in the connected app.
Supported Kaggle Capabilities
This connection lists Kaggle competitions, datasets, notebooks or scripts, and models using search and resource filters.
- Datasets and Notebooks
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Filter dataset listings and related notebook or script records.
- List Datasets
- List Kernels
- Competitions and Models
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Search competitions and models by topic or owner.
- List Competitions
- List Models
View All 4 Actions
- List Competitions
- List Datasets
- List Kernels
- List Models
Frequently Asked Questions
Which authentication is used?
Use the legacy Kaggle API key with its username. A key without the matching username is insufficient.
Can I focus on a file format or license?
Dataset lists support file-type and license-family filters, along with search, size, tags, and owner filters.
Can AI analyze dataset rows through this connection?
These actions find resource records. They do not retrieve dataset files or rows; obtain the data separately before asking for row-level analysis.
Your AI employee for Kaggle
Tell Leina what you need in your team chat. Include the source, destination, and expected result.