AI-assisted spreadsheet analysis
Ask questions in natural language and use formulas, Python, or SQL when you need more control. The product emphasizes readable, editable outputs instead of opaque generated results.
Quadratic
Quadratic is an AI spreadsheet that combines natural-language analysis, live data connections, and code cells for individuals and teams. It also offers a REST API and MCP support for agent workflows and spreadsheet automation.
Overview
Quadratic is an AI spreadsheet built to combine spreadsheet workflows with live data connections, code cells, and agent-friendly automation. The product is designed for people who want to ask questions in natural language, work with formulas or code when needed, and keep results visible inside editable cells.
The site positions Quadratic as a tool for analysis across databases, files, APIs, and business systems. It supports live connections, an API for programmatic spreadsheet control, and MCP for connecting external AI clients, while keeping changes auditable in the spreadsheet grid.
Features
Live connections to business data
Connect live data sources so a sheet can pull in current values from databases, warehouses, files, and SaaS tools. The site highlights sources such as Postgres, Snowflake, BigQuery, QuickBooks, Google Analytics, Mixpanel, CSV, Excel, and PDF.
REST API for spreadsheet automation
Use the Spreadsheet API to read and write cells, run Python, SQL, and formulas, and manage sheets, tables, and validations from REST. The API also supports atomic batches and undo/redo for safer agent workflows.
MCP support for AI clients
Connect MCP-enabled clients like Claude, ChatGPT, Cursor, and VS Code so an external agent can read, write, and verify work in a live spreadsheet. Access is secured through a signed-in Quadratic account and can be revoked from settings.
Auditable cell-based workflow
Work with auditable results that stay in the spreadsheet grid. The product states that users can inspect, edit, and approve changes cell by cell.
Tiered pricing options
Choose a plan that matches individual, team, or enterprise needs. The pricing page shows Personal Free, Pro, Business, and Enterprise tiers with different sharing, AI usage, and support levels.
Use cases
Interactive analysis in a spreadsheet
Build forecasts, summaries, and other analysis in a spreadsheet while asking for help in plain language. Users can start with prompts and then refine results with formulas, Python, or SQL where needed.
Live reporting from connected systems
Connect databases, warehouses, and SaaS tools to keep spreadsheet models tied to current data. This is useful when teams need to work from sources such as Postgres, Snowflake, BigQuery, QuickBooks, or analytics platforms without repeated CSV exports.
Programmatic spreadsheet automation
Use the API to automate spreadsheet operations from backend code or agent pipelines. The API supports reading and writing cells, running code cells, creating sheets and tables, and batching operations with undo support.
AI-assisted operations with MCP
Let Claude, ChatGPT, Cursor, or another MCP client work directly with a Quadratic spreadsheet. This fits workflows where an AI assistant needs to read context, update cells, and verify calculations in a shared file.
Collaborative team review
Share a workspace with colleagues who need auditable answers rather than exported snapshots. The product’s sharing and team-oriented plans are aimed at collaborative review and approval inside the sheet.
Pros and Cons
Pros
- Combines AI assistance with editable spreadsheet cells, which makes results easier to inspect and correct.
- Supports live connections to common data sources and business tools, reducing manual export and import steps.
- Offers both a REST API and MCP support, giving teams two different ways to automate or embed spreadsheet workflows.
- Includes atomic batches, undo/redo, and structured context in the API, which are useful for agent-driven work.
- Has a free Personal plan plus paid Pro, Business, and Enterprise options for different team sizes.
Cons
- The public sources do not provide a complete list of every supported connector or workflow detail for each integration.
- Some advanced capabilities, such as PDF extraction and specific AI workflow behavior, are mentioned only briefly in the source material.
FAQ
What is Quadratic?
Quadratic is a spreadsheet product with AI features, connections to live data sources, an API, and MCP support for AI clients.
Does Quadratic have paid plans?
The source shows a free Personal plan, plus Pro and Business plans billed per user, and an Enterprise option with custom features and support.
What kinds of data sources can Quadratic connect to?
Quadratic supports database, warehouse, file, and API-style connections. The source explicitly lists sources such as Postgres, MySQL, Snowflake, BigQuery, CSV, Excel, PDF, QuickBooks, Google Analytics, Mixpanel, Plaid, and several banking or market-data connectors.
Can I use Quadratic with my own tools or agents?
Yes. Quadratic supports an API for reading and writing spreadsheet data and running code, and it also supports MCP for connecting AI clients such as Claude, ChatGPT, and Cursor.
Is Quadratic suitable for team use?
Quadratic positions itself for individuals, small teams, and enterprises, with features such as unlimited sharing on Pro and SSO, self-hosting, and dedicated support on Enterprise.
Quick Facts
- Category
- AI spreadsheet
- Website
- quadratichq.com
- Primary users
- Individuals, teams, and enterprises
- Access model
- Web app with API and MCP support
- Pricing
- Free Personal plan; paid Pro, Business, and Enterprise options
- Notable workflow
- Live data connections, editable AI-generated cells, and auditable analysis
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