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Api Spreadsheets VS datatomcp

Compare Api Spreadsheets VS datatomcp and see what are their differences

AS
Api Spreadsheets

Instantly Use Your Spreadsheets as an API and Database

Rating
0 reviews
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Alternatives Is it good?
datatomcp

Query your CSVs and Google Sheets from any AI agent, over MCP or a REST API

Rating
0 reviews
Pricing
Freemium $12 / Monthly (Free: 3 datasets × 100,000 rows. Pro: $12 or €12 a month)
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Alternatives Is it good?
CloudGPU.app
GPU rental by the minute plus an OpenAI-compatible AI API, on one prepaid balance. Independent service. sponsored

Which is more popular?

Spreadsheets popularity
83% vs 17%
alternatives listed
66 vs 7

Base details

Website, pricing, platforms and company facts side by side.

AS
Api Spreadsheets
datatomcp
Website apispreadsheets.com datatomcp.com
Pricing —
Freemium $12 / Monthly (Free: 3 datasets × 100,000 rows. Pro: $12 or €12 a month) Official pricing
Platforms —
Web
Company — Startup from the Netherlands · 1 - 9 employees · 2026
Listed in
Spreadsheets Google Sheets Spreadsheets As A Backend API Tools +1
MCP Servers Spreadsheets As A Backend Data Analysis AI Developer Tools APIs Spreadsheets Google Sheets +5

About Api Spreadsheets and datatomcp

In their own words, as submitted to SaaSHub.

AS
Api Spreadsheets
datatomcp

No description of Api Spreadsheets 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...

Read more about datatomcp

Features and specs

What each product offers, as listed by its team.

AS
Api Spreadsheets 4 features
datatomcp 6 features
  • Ease of Use
    Api Spreadsheets provides a simple and user-friendly interface that does not require coding knowledge, making it accessible for non-developers.
  • Google Sheets Integration
    It integrates smoothly with Google Sheets, allowing users to automate workflows and manage data more efficiently.
  • No Database Required
    Users can handle structured data without the need for a traditional database, simplifying the data management process.
  • Secure Data Handling
    Api Spreadsheets offers secure methods for handling data, ensuring that user information is protected.

Possible disadvantages

  • Limited Advanced Features
    Compared to traditional databases, it might lack some advanced data manipulation features, limiting flexibility for complex tasks.
  • Dependency on Internet Connection
    As a web-based service, Api Spreadsheets requires a reliable internet connection, which can be a drawback in areas with poor connectivity.
  • Potential for API Rate Limits
    Depending on the pricing plan, users could face API rate limits, which might restrict the number of requests that can be made in a given period.
  • Scalability Concerns
    For large datasets and high-frequency data operations, scaling up could become a challenge compared to using dedicated database solutions.
  • Remote MCP server
    Streamable HTTP with OAuth sign-in, works in Claude, ChatGPT, Cursor, VS Code and other MCP clients
  • REST API
    Same queries over HTTPS with API keys, for apps, n8n and Make
  • Google Sheets sync
    Pick a private sheet in Google’s file picker; on-demand refresh, hourly on Pro
  • CSV import
    Upload a file or paste a CSV link, up to 2 million rows per dataset on Pro
  • Import report
    Flags broken lines, numbers stored as text and mixed date formats
  • Exact aggregates
    Filter, group, count, sum, average, min and max computed by DuckDB

Videos

Walkthroughs and reviews on video.

AS
Api Spreadsheets 0 videos + Add
datatomcp 1 video + Add

No Api Spreadsheets videos yet. You could help us improve this page by suggesting one.

Connect a Google Sheet to Claude in 40 seconds (MCP)

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
AS
Api Spreadsheets
datatomcp
83% 83%
Spreadsheets
17% 17%
0% 0%
Developer Tools
100% 100%
100% 100%
API Tools
0% 0%
100% 100%
Spreadsheets As A Backend
0% 0%

Questions & Answers

As answered by people managing Api Spreadsheets and datatomcp.

Which are the primary technologies used for building your product?

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.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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.

User comments

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