Pick a template → connect your tools → go live in 2 minutes.
When a GitHub Actions training job outputs a submission.csv, Arahi calls Kaggle Submit Competition Entry and posts the public score back to the PR comment.
GitHub: Actions job completed
Arahi AI: Decide the next action
Kaggle: Submit competition entry
GitHub: Post score to PR comment
When S3 receives a new cleaned dataset object, Arahi runs Kaggle Create Dataset Version with bumped metadata so teammates pull the latest version in notebooks.
When Google Drive receives a notebook template, Arahi calls Kaggle Download competition data files, mounts the CSVs, and shares the link in Slack.
Google Drive: Notebook template added
Arahi AI: Decide the next action
Kaggle: Download competition data files
Google: Mount CSVs in notebook
Slack: Share notebook link
An event occurs in Kaggle or a connected app that starts your automation.
The AI agent analyzes the data, makes intelligent decisions, and determines the best actions.
The agent executes actions in Kaggle and other tools — no manual work required.
Kaggle simplifies workflows, while Arahi AI empowers these tasks with AI developers.
Generate drafts with Kaggle from a content brief in Notion or Google Docs, no engineer in the loop.
Classify and route inbound emails with Kaggle — support, sales, billing, or trash.
Summarize uploaded PDFs and docs with Kaggle straight into the CRM or knowledge base.
Tag sentiment on every support ticket with Kaggle and route negative ones to seniors first.
Ready-to-use Kaggle actions you can add to your agents instantly.
Custom API calls to Kaggle with full control for advanced use cases.
Sign in to your Arahi AI account and navigate to integrations or create a new AI agent.
A secure pop-up will ask you to log in. This authorizes Arahi AI to access your API using API Key.
Choose "Kaggle" from the tool list, then select the action you want to perform.
Test your automation with sample data, then deploy it to run on schedule or by event.
The integration uses secure API Key authentication, ensuring only authorized workflows access your Kaggle data.
Your data remains private and is never used for model training.
We never store anything we don't need to. Inputs and outputs of your tools are never stored.
Your Machine Learning and Data Science Community With Arahi AI, you can connect Kaggle to Abstract - IP Geolocation API, Algorithmia, Anthropic (Claude) and 1,500+ other apps using AI-powered workflows. No coding required — set up triggers, actions, and intelligent automation in minutes.
As a data analytics tool, Kaggle connects with other data analytics apps like Abstract - IP Geolocation API, Algorithmia, Anthropic (Claude), Azure OpenAI through Arahi AI's integration platform. Build multi-step automations that combine Kaggle with AI-powered decision making, data transformation, and cross-app orchestration.
Every item is a real, named endpoint from Kaggle's API. Your agent can watch events and run 20 actions — no glue code.
Things the agent can do
Tool to download competition data files. Use after confirming the competition ID.
Tool to initialize Kaggle API client configuration. Attempts CLI first; if unavailable, it falls back to creating ~/.kaggle/kaggle.json (or $KAGGLE_CONFIG_DIR/kaggle.json).
Tool to create a new Kaggle dataset with full metadata. Use after uploading files and finalizing metadata. Returns creation status and message.
Tool to get the status of a dataset upload or processing job. Use after uploading a dataset to check processing state.
Tool to create a new dataset version on Kaggle. Use when you have updated files or metadata and need to publish a new version of an existing dataset.
Tool to submit an entry to a Kaggle competition. Use when you have already uploaded your file and obtained its blob token.
Tool to retrieve the directory of the Kaggle API configuration file. Use when you need to locate the directory containing your kaggle.json credentials.
Tool to retrieve the filename of the Kaggle API configuration file. Use when you need to find out where the local Kaggle config file is stored before reading or updating.
Tool to list local Kaggle API configuration keys. Use when you need to see which configuration options are set without revealing values.
Tool to retrieve local Kaggle API configuration file path. Use when you need to know the location of the Kaggle config before operations.
Tool to reset local Kaggle CLI configuration to defaults. Clears CLI-managed keys ('competition', 'path', 'proxy').
Tool to set a Kaggle CLI configuration parameter. Use when updating local CLI settings such as default download path or proxy. Ensure Kaggle CLI is installed.
Tool to unset a Kaggle CLI configuration parameter. Use when removing local CLI settings such as default download path or proxy. Ensure Kaggle CLI is installed.
Tool to view local Kaggle API configuration. Use when you need to confirm credentials before API calls.
Tool to initialize a dataset-metadata.json file in a local folder. Use when preparing a dataset folder before uploading to Kaggle.
Tool to list files in a Kaggle dataset. Use when you need to retrieve paginated file listings by owner and dataset slugs, with optional version and paging controls.
Tool to initialize a kernel-metadata.json file in a local folder. Use when preparing a kernel folder before pushing to Kaggle.
Tool to download the output of a Kaggle kernel. Use when needing the latest kernel results locally.
Tool to get the status of a Kaggle kernel run. Use after submitting a kernel to monitor its execution state.
Tool to list Kaggle datasets with filters and pagination. Use after authenticating with Kaggle API key.
Curated for Kaggle's real category — not Pipedream's auto-tagged bucket.
Explore AI-powered workflows that work with Kaggle.
