
Sheetsu
Sheet 2 Site
SheetBest
Sheetson
Bubble.io
SheetDB
Stein
Turn any Google sheet into an API instantly, for free. Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime. Neat

SheetDB
SheetBest
Api Spreadsheets
Sheetson
Sheetsu
Stein
Query your CSVs and Google Sheets from any AI agent, over MCP or a REST API

Which is more popular?
Based on our record, Sheety seems to be more popular. It has been mentioned 11 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | sheety.co | datatomcp.com |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the Netherlands · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Sheety yet.
datatomcp turns a CSV file or Google Sheet into a data source that AI agents and apps can query. Upload a CSV, paste a CSV link or pick a Google Sheet. The data is loaded into a database (DuckDB), and an import report lists problems such as broken lines, numbers stored as text and mixed date...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of datatomcp yet.
Walkthroughs and reviews on video.
Arundhati Climax Scene REACTION | Anushka Sheety, Sonu Sood | Parbrahm&Anurag
More videos
Connect a Google Sheet to Claude in 40 seconds (MCP)
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Sheety and datatomcp.
datatomcp's answer:
TypeScript and Node.js, Hono, DuckDB with Parquet files, SQLite, the official MCP TypeScript SDK (Streamable HTTP), Better Auth for OAuth, and Astro for the website. Hosted in the EU.
datatomcp's answer:
It gives AI agents query tools instead of raw rows. The agent asks for a filter or a total, and a database (DuckDB) computes it, so answers on 100,000-row sheets are exact. Every result includes the dataset version, and messy data is flagged in an import report before any agent sees it. The same dataset works in AI clients over MCP and in apps over a REST API.
datatomcp's answer:
Most Google Sheets API tools are built for reading and writing rows in apps. datatomcp is built for questions: filters, group-by and totals run on the server, and it works as a remote MCP server with OAuth in Claude, ChatGPT and Cursor. It is read-only by design and hosted in the EU. If you need to write rows back to a sheet, a CRUD tool like SheetDB or Sheety is a better fit.
datatomcp's answer:
People who keep business data in spreadsheets and want to ask an AI agent about it: operations and finance teams, analysts, founders, and developers building agents or automations in n8n or Make.
datatomcp's answer:
I kept pasting spreadsheets into Claude and ChatGPT and getting totals that were close but not right. The model reads the rows and estimates. So I built a small service that puts the file in a real database and gives the agent a few safe query tools. It is built and run by one person in the Netherlands.
Share your experience with using Sheety and datatomcp. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Neat! This seems very similar to Sheety[0], which I've used a bunch of times before (and found a few bugs...). Do you have any plans to open source? [0]https://sheety.co. - Source: Hacker News / over 2 years ago
You can just use retool alone or if you still want to use bubble maybe the easiest way would be to use https://sheety.co. Source: over 3 years ago
Well there’s https://sheety.co that provides an api to write to google sheets. You just need to set up the fetch mechanism on your web page. Source: almost 4 years ago
Tracking datatomcp since Oct 2026.
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