Let agents run your Kaggle work end-to-end
QX hunts down the right datasets, ships new versions, submits competition entries and watches kernel runs—so your team focuses on modelling, not plumbing.
Stop hand-rolling CLI commands, chasing kernel runs, and babysitting submissions. Hand it to an agent.
Find the right data, fast
An agent scans Kaggle for fresh datasets that match your problem, filters by size, license and recency, and surfaces only the ones worth your team's time.
Ship dataset versions on autopilot
When your source data updates, the agent initialises metadata, uploads files, cuts a new dataset version and verifies the processing status—no manual CLI dance required.
Submit and monitor without watching
Kernel runs, submission entries and status checks happen on their own. You get pinged with the leaderboard delta the moment a run finishes—or fails.
Kaggle
Real workflows, built for your team
Build workflows in minutes that chain Kaggle with the rest of your stack. Trigger them on a specific event, on a schedule, or on demand—with guardrails baked in.
Data Science: Keep training datasets fresh automatically
Every Monday at 6am
Scheduled trigger
Export latest training data
in Snowflake
Validate schema & row counts
Agent step
Publish a new dataset version
in Kaggle
Check processing status
in Kaggle
Notify the ML team
Alert via Slack
QX agents can search Kaggle, publish dataset versions, submit competition entries—and a lot more
+ 12 more actions
About Kaggle
Kaggle is the world's largest data science community, owned by Google, with millions of practitioners sharing datasets, notebooks and competing in machine learning competitions. Its API exposes datasets, kernels and competitions programmatically, making it a natural fit for automated data pipelines and model evaluation workflows.
About QX Labs
QX is an AI agent platform that helps you build, run and scale AI across your team in a few clicks. Create agents that connect to your data and 1,000+ apps, building institutional memory that gets sharper every run. Then delegate tasks to them from where you already work—Slack, Teams, WhatsApp or email.
See Kaggle working inside your stack
Want an AI co-worker that handles your Kaggle datasets, kernels and submissions for you? Book a demo to walk through your use case, or get started for free.
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