Marketplace
Discover ready-to-run AI agents and reusable templates.
Data Analysis Agent Template
The Data Analysis Agent Template turns any CSV file into an interactive AI-powered dashboard that runs entirely in your browser. Powered by Pyodide (Python compiled to WebAssembly), it loads pandas and numpy locally — no data ever leaves your machine. Upload your CSV by dragging and dropping it onto the interface. The agent parses it instantly and displays a preview table of the first 10 rows. From there, ask questions in plain English: "show me a summary of the data", "plot a histogram of the sales column", "what are the correlations between numeric variables?", or "show value counts for the region column." Under the hood, the agent uses GPT-4o, Claude 3.5 Sonnet, or a fully local WebLLM model (your choice) to interpret your query and call the correct Python analysis function. It can generate pandas .describe() statistics, detect missing values per column, compute a full Pearson correlation matrix with highlighted strong correlations, and create matplotlib bar charts or histograms rendered as inline images — all without sending your data to any external server. This template is ideal for data analysts, researchers, and developers who need quick exploratory data analysis (EDA) on sensitive datasets, offline environments, or anywhere a traditional server-side tool is not appropriate. The exported HTML file is fully self-contained — open it in any modern browser (Chrome 113+, Edge 113+) with WebGPU support and it works immediately.
CSV Data Cleaner
The CSV Data Cleaner is a fully browser-based AI agent that turns messy, inconsistent spreadsheet data into clean, analysis-ready CSV files — without uploading your data to any external server. Upload your CSV by clicking or dragging and dropping, and the agent immediately runs a Python-based quality audit using pandas-style logic via Pyodide (Python compiled to WebAssembly). The automated issue detection scans every column for four categories of data quality problems: missing values (flagged HIGH if more than 20% of rows are empty, MEDIUM otherwise), duplicate rows (exact matches across all fields), inconsistent date formats (e.g. a column mixing YYYY-MM-DD, MM/DD/YYYY, and DD-MM-YYYY), and whitespace issues (leading or trailing spaces that break joins and lookups). Every issue is displayed with a severity badge before you do anything. From there, you have three ways to clean. Quick actions — Remove Duplicates, Fill Missing Values, Standardize Formats, Clean Whitespace — run with one click and log exactly what changed. AI Suggestions asks the language model to inspect your column names, data types, and detected issues and return 5–8 prioritised cleaning recommendations (e.g. "normalise phone numbers in the contact column", "convert revenue to float and fill nulls with 0"), each with an Apply button. Custom tasks let you describe any transformation in plain English — "split the full_name column into first and last", "replace all blank cells in status with 'pending'", "remove rows where age is over 120" — and the agent generates and executes the Python code in-browser. All cleaning steps are logged with timestamps in the activity panel. When finished, download the result as a clean CSV file. Compatible with GPT-4o, Claude 3.5 Sonnet, or a fully local WebLLM model. No data ever leaves your machine.
Choose how to run this agent
Requires an API key and an AgentOp account.
Download Agent
Choose how you want to use this agent:
Use Security Settings Key (Recommended)
Use the API key you've already saved in Security Settings. Quick and convenient!
- No need to re-enter API key
- Works offline after download
- Centralized key management
No API key found in Security Settings. Add one now
Enter API Key Manually
Enter your API key now for this specific agent download.
- Use different key for this agent
- One-time use (not saved)
- Works offline after download