
Kaggle
Data scientists juggle competition deadlines, dataset versions, and notebook runs. Your AI agent searches Kaggle datasets, downloads competition files, submits entries, checks kernel execution status, and creates new dataset versions, all from a conversational interface.




Your agent connects to Kaggle's API to manage the full lifecycle of competitions, datasets, and kernels, keeping your data science workflow moving without browser tab switching.
Kaggle
From dataset discovery to competition submission, see how AI eliminates the repetitive steps in your data science workflow on Kaggle.
A data scientist starting a new project asks 'Find me healthcare datasets with at least 10,000 rows in CSV format, sorted by most votes.' Your AI Agent queries Kaggle with the search term, file type filter, and sort order, returns the top 10 matching datasets with their sizes and descriptions. The scientist picks one and asks the agent to list its files. In two messages, they have found and evaluated their training data instead of browsing Kaggle for 30 minutes.
A competitor preparing for a deadline messages 'Download the house-prices competition data and let me know when my kernel finishes.' Your AI Agent downloads the competition files, confirms the path, and then monitors the kernel status. Once the notebook completes, the agent notifies the scientist and offers to submit the output. The entire competition workflow happens through conversation without switching between terminal, browser, and file manager.
A research team finishes cleaning a new batch of survey data. The lead asks the AI Agent to create a new version of their public Kaggle dataset with updated files and release notes. The agent calls the dataset version endpoint, uploads the file references, adds the version notes, and confirms the new version is live. The team's collaborators get the update automatically. No one had to navigate the Kaggle upload interface.

Kaggle
FAQs
Go to your Kaggle account page, scroll to the API section, and click 'Create New Token.' This downloads a kaggle.json file containing your username and API key. Enter the API key in the Tars tool configuration. Keep this file secure as it provides full access to your Kaggle account.
You can configure a workflow where the agent monitors kernel status and, once completed, triggers a submission using the output file's blob token. The agent checks the kernel status endpoint periodically and proceeds with submission when the status changes to 'complete.'
Yes. The list datasets endpoint accepts a license parameter. You can filter by specific licenses like CC0-1.0, CC-BY-4.0, or others to ensure the data you find meets your usage and attribution requirements.
Both. The agent can create brand new datasets with full metadata including title, description, license, keywords, and file references. It can also publish new versions of existing datasets with updated files and version notes while preserving the dataset's history.
No. Download paths are local to your configured environment. Tars orchestrates the API calls but does not store competition files, dataset contents, or notebook outputs. All data remains on Kaggle's servers or your local download directory.
Yes. The list datasets endpoint supports a user parameter to filter by dataset owner. Combine this with search terms, file type, and size filters to find exactly what you need from a specific contributor's collection.
The Kaggle CLI requires terminal access and command-line familiarity. A Tars AI Agent lets anyone on your team interact with Kaggle through natural language on Slack, web chat, or WhatsApp. Non-technical team members can search datasets and check competition status without learning CLI commands.
Yes. The kernel output endpoint downloads the results of a completed notebook by owner and slug. Your agent can retrieve these outputs and provide download links, making it easy to access model predictions, visualizations, or processed data from any kernel run.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security
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