Sourcetable is an AI-native spreadsheet platform designed for analysts, operators, data scientists, and finance teams who work with data across multiple sources. It combines core spreadsheet features such as formulas, pivots, charts, and real-time collaboration with AI-powered analysis, Python and SQL programmability, and over 100 built-in data connectors. Users can upload files up to 10GB, connect databases and applications, and interact with their data using natural language through an AI chatbot.
Key Features
- AI Chatbot and Command Bar: Sourcetable includes an AI chatbot (accessible via CMD+\) that analyzes files, answers questions about workbook data, provides formula assistance, and generates step-by-step walkthroughs. The Command Bar (CMD+K) enables users to clean data, generate text, translate documents, and perform research across thousands of cells in seconds.
- Data Connectors: The platform connects to over 100 data sources including databases (PostgreSQL, MySQL, MongoDB), file formats (CSV, XLSX, TSV, PDF, JSON), and applications (Stripe, Robinhood, Notion, Facebook Ads, GA4). Data queries can be performed using natural language or direct SQL.
- Python and Data Science Toolkit: Sourcetable integrates Python with libraries such as NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn. Users can run advanced analysis, build models, and create visualizations without switching tools.
- AI Chart Generator: Users can generate interactive charts and graphs by describing what they want in plain English. Visualizations are downloadable and can be exported as interactive embeds.
- Template Generator: The platform can build spreadsheet templates for any need including budgeting, tracking, reporting, and analysis without starting from scratch.
- Self-Driving Spreadsheet (Alpha): Announced in 2025, an experimental alpha feature allows the AI to autonomously perform spreadsheet work including creating pivots, writing cross-tab VLOOKUPs, and cleaning data.
Use Cases
- Data Analysis and Reporting: Analyze large datasets, generate summaries, and build dashboards using natural language queries. Suitable for business intelligence and operational reporting.
- Financial Modeling and Forecasting: Finance teams can build models, track revenue metrics, manage budgets, and automate recurring reports with AI assistance.
- Data Cleaning and Preparation: Automatically clean, shape, and structure messy data from multiple sources using AI, formulas, or code-based transformations.
- Market and Stock Analysis: Plan, research, and analyze markets with macro models, portfolio balancing, stock analysis, crypto data, and Python-based integrations.
- Scientific Research: Manage experiment data, run statistical analysis, and create publication-ready visualizations using the integrated Python data science toolkit.
Pricing
Sourcetable offers a free tier with limited daily AI credits that includes the core AI spreadsheet assistant, smart formulas, and chart generation. The Pro plan includes 2,000 monthly credits with premium AI models, Python toolkit, SQL editor, and up to 3 data connectors. The Max plan includes 6,000 monthly credits with unlimited AI messages, unlimited data connectors, highest model intelligence, and early access to new features. Students and faculty receive a 50% discount on Pro and Max plans.
Integrations and Compatibility
Sourcetable is compatible with Excel and Google Sheets workflows. Users can import XLSX files and export data in multiple formats. The platform integrates with multiple AI model providers including OpenAI, Anthropic (Claude), Meta (Llama), and Hugging Face, with models selected automatically based on the task. LLMs are not trained on user data. Private user keys are encrypted at rest with escrow KMS.
Superagents and Autonomous Capabilities
In September 2025, Sourcetable introduced Superagents -- autonomous tool-using AI agents that can perform multi-step data tasks within the spreadsheet environment. These agents can crawl the web, create workflows, build dashboards, and automate complex data pipelines without requiring users to specify every step.
