Kaggle

Manage Kaggle competitions and datasets without leaving your chat

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.

Chosen by 800+ global brands across industries

Data science operations through conversation

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

Use Cases

Competition and dataset management, simplified

From dataset discovery to competition submission, see how AI eliminates the repetitive steps in your data science workflow on Kaggle.

Dataset Discovery Without Endless Scrolling

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.

Automated Competition Workflow from Download to Submit

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.

Team Dataset Publishing and Versioning

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.

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Kaggle

Kaggle

FAQs

Frequently Asked Questions

Where do I find my Kaggle API key for the integration?

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.

Can the agent submit competition entries automatically after a kernel finishes?

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.'

Does the agent support searching datasets by license type?

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.

Can the agent create entirely new datasets or only new versions?

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.

Does Tars store Kaggle competition data or dataset files?

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.

Can the agent search for datasets owned by a specific user or organization?

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.

How is this different from using the Kaggle CLI directly?

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.

Can the agent download kernel output files for analysis?

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.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

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

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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