AI-assisted spreadsheet work
Ask questions in natural language and let Quadratic generate formulas, Python, or SQL cells to work through the logic. The product emphasizes readable, auditable outputs instead of opaque answers.
Quadratic
Quadratic is an AI spreadsheet for live analysis, connected data, and auditable spreadsheet workflows. It helps individuals, teams, and agents work with spreadsheets through the web app, MCP clients, and a REST API.
What Quadratic is
Quadratic is an AI spreadsheet designed for working with live data, formulas, and code in one place. The home page describes it as built for speed, clarity, and instant insights, with a focus on making spreadsheet analysis easier to read, verify, and update.
The product connects to databases, spreadsheets, files, and APIs so data can flow into a live sheet, then adds AI workflows through Python, SQL, formulas, MCP, and a REST API. That makes it useful for people who want spreadsheet-style analysis with programmatic control and auditable results.
Core features
Live data connections
Connect spreadsheets to live data sources so numbers stay current inside a single workspace. The site highlights databases, files, APIs, QuickBooks, Google Analytics, Mixpanel, and Plaid among the available connections.
MCP access for AI clients
Use the MCP server to let ChatGPT, Claude, Cursor, VS Code, and other compatible clients read, write, and verify spreadsheet work. Access is authenticated through OAuth and can be revoked from Quadratic settings.
Spreadsheet API for automation
Trigger AI runs, read and write cells, and orchestrate spreadsheet actions from your own code through the REST API. The API also supports atomic batches, undo and redo, and token-scoped access.
Plan-based collaboration
Work with collaborative sharing controls and plan-based limits that scale from personal use to teams. The pricing page distinguishes Free, Pro, Business, and Enterprise tiers with higher AI usage and team features on paid plans.
Common use cases
Live reporting from connected data
Connect a sheet to databases, spreadsheets, and business tools, then keep analysis current as source data changes.
Chat-driven spreadsheet workflows
Let an AI client read and write a spreadsheet through MCP, so users can ask questions, build charts, and update cells from chat.
Agent and pipeline automation
Automate spreadsheet operations from code, including writing ranges, running analysis cells, creating tables, and managing sheets through the REST API.
Auditable data analysis
Use Python or SQL cells to analyze tabular data, inspect outputs in place, and make changes directly in the workbook.
Spreadsheet migration and reuse
Import existing Excel or Google Sheets files into Quadratic and work with them through the same AI and integration tooling.
Pros and Cons
Pros
- Supports live connections to databases, files, APIs, and business data tools.
- Combines spreadsheet cells with Python, SQL, formulas, and AI-generated analysis.
- Lets users verify and edit outputs directly in cells instead of treating AI results as a black box.
- Offers both an MCP server and a REST API for external automation and agent workflows.
- Has clearly published pricing tiers, including a free plan and team-oriented paid plans.
Cons
- The public pages show some plan and feature limits, but not every connection or capability is documented in one place.
- Several advanced capabilities are exposed through MCP and the API, so teams will need to choose the right integration path for their workflow.
FAQ
What is Quadratic MCP?
Quadratic MCP lets ChatGPT, Claude, Cursor, VS Code, and other MCP-compatible clients read and write Quadratic spreadsheets through a secure OAuth connection. It is a remote MCP server, so there is no local binary to install.
Does Quadratic have a free plan?
Yes. The pricing page shows Free, Pro, Business, and Enterprise options. Quadratic MCP is included with every Quadratic plan, including the free tier, while paid plans add more AI usage, sharing, and team-oriented features.
What can you do with the Quadratic Spreadsheet API?
Quadratic’s API supports reading and writing cells, running Python, SQL, and formula cells, building sheets and tables, and applying formats and validations. The API is built for agent workflows and includes atomic batches, undo, and structured context endpoints.
What kinds of data sources can Quadratic connect to?
Quadratic positions itself as an AI spreadsheet for working with connected data sources, spreadsheets, files, and APIs in one live sheet. The site also shows integrations with databases and services such as Postgres, Snowflake, BigQuery, QuickBooks, Google Analytics, Mixpanel, and Plaid.
Quick Facts
- Category
- AI spreadsheet
- Platform
- Web app
- Primary use
- Live analysis, automation, and connected spreadsheets
- Integration modes
- MCP server and REST API
- Pricing
- Free, Pro, Business, and Enterprise plans
- Website
- quadratichq.com
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