Quadratic

Quadratic is an AI spreadsheet for live data, formulas, Python, SQL, and connected sources. Analyze and automate workflows with AI, MCP, and a REST API.

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Overview

Quadratic is an AI spreadsheet for working with live data, formulas, Python, SQL, and connected sources in one place. The site presents it as a spreadsheet built for speed, clarity, and instant insights, with AI that can help generate analysis and explain its own work.

It connects to databases, warehouses, accounting tools, analytics services, files, and APIs so the sheet can stay synchronized with upstream data. Quadratic also exposes both an MCP server and a REST API, letting compatible AI clients and developer tools read, write, and verify spreadsheet work programmatically.

Core capabilities

AI-assisted spreadsheet work

Ask questions in natural language and work with formulas, Python, and SQL in the same spreadsheet. The product positions AI as a way to generate, explain, and verify analysis inside cells.

Live connections to many sources

Connect live data from databases, warehouses, files, APIs, accounting tools, analytics platforms, and banking sources so the spreadsheet stays in sync with upstream systems.

MCP access for AI clients

Use the Model Context Protocol to let compatible AI clients read, write, and verify work in Quadratic. The source cites ChatGPT, Claude, Cursor, VS Code, and Windsurf as supported clients.

Spreadsheet API for programmatic control

Use the REST API to read and write cells, create or update code cells, build tables and charts, and batch changes with undo and redo support.

Developer-friendly API tooling

Move data in and out of files, tables, formats, validations, and charts with typed SDKs for Python and TypeScript, plus interactive API docs.

Team and enterprise options

Share work with individuals, small teams, or larger organizations using plan tiers that include shared workspaces, privacy controls, SSO, and self-hosting on higher tiers.

Common ways to use Quadratic

Interactive analysis on live data
Connect a sheet to operational data and ask questions in natural language, then inspect formulas or code cells to verify the result before sharing it with stakeholders.
AI chat workflows with spreadsheet context
Use the MCP server to let ChatGPT, Claude, Cursor, or another compatible client read from and write to a Quadratic file while keeping changes tied to your account permissions.
Programmatic spreadsheet automation
Call the REST API from scripts or backend jobs to write rows, update formulas, run Python or SQL cells, and read computed values back into an automated pipeline.
Connected reporting and planning
Pull in sources such as QuickBooks, Google Analytics, Mixpanel, Postgres, or Snowflake to maintain dashboards and financial models without manual CSV exports.
Team collaboration and controlled access
Use plan features such as shared workspaces, unlimited sharing on paid tiers, and enterprise controls like SSO or self-hosting to support team collaboration and governance.

Pros and Cons

Pros

Combines spreadsheet editing with AI, Python, and SQL in the same workspace.
Connects to live business data from databases, APIs, accounting tools, analytics platforms, and banking sources.
Provides both MCP access for AI clients and a REST API for developers.
Offers a free plan alongside paid tiers for individuals, teams, and enterprises.
Includes security and access controls such as OAuth-based MCP access, revocable clients, and enterprise options like SSO and self-hosting.

Cons

The public sources do not provide a full, verified connector list or detailed limits for every integration.
Pricing and plan differences are described, but some capability boundaries are only summarized at a high level.
The site does not spell out every workflow or spreadsheet behavior in the collected pages, so some usage details remain approximate.

FAQ

Does Quadratic work with AI chat tools and editors?

Quadratic MCP is its official Model Context Protocol server. It lets compatible AI clients such as ChatGPT, Claude, Cursor, and VS Code read and write Quadratic spreadsheets through a secure authenticated connection.

What pricing options does Quadratic offer?

The pricing page shows a free Personal plan plus Pro, Business, and Enterprise options. Pro adds shared workspace features, more AI usage, unlimited sharing and files, while Business adds higher AI usage and on-demand AI usage; Enterprise is custom.

What can you do with the Quadratic API?

Quadratic’s API supports reading and writing cells, running Python, SQL, and formulas, building sheets and charts, and using atomic batches with undo and redo support.

What kinds of data sources can Quadratic connect to?

Quadratic can connect spreadsheets to databases, warehouses, accounting tools, analytics services, and banking sources. The connections page and homepage show examples such as Postgres, Snowflake, BigQuery, QuickBooks, Google Analytics, Mixpanel, Plaid, and many more.

Is Quadratic set up for secure access?

The source states that Quadratic is SOC 2 and HIPAA certified and that MCP access uses OAuth-secured authentication with revocable client access.

Quick Facts

Category: AI Spreadsheet
Website: quadratichq.com
Platform: Web app with API and MCP access
Primary users: Individuals, teams, and developers working with live data
Pricing: Free plan plus Pro, Business, and Enterprise tiers
Notable workflows: Live spreadsheet analysis, AI-assisted modeling, API-driven updates, and MCP-connected AI chats