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Spreadsheets

Gigasheet, worked by an AI employee

Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Gigasheet account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.

  • Spreadsheets
  • Connects with a key
  • 29 ready-made tools
  • Asked in Slack or Teams
At work

An illustration of how the conversation reads, not a transcript from a client account.

What Gigasheet is

Gigasheet is a big data automation platform that offers a spreadsheet-like interface for analyzing and managing large datasets, enabling users to automate tasks, integrate with various data sources, and streamline data workflows.

You paste in a key from your own Gigasheet account. It is kept encrypted, and you can withdraw it from inside Gigasheet whenever you like.

How a run works

One message in, the work done in Gigasheet.

  1. 01

    You ask

    You message your AI employee in the chat your team already has open, in one sentence, in your own words.

  2. 02

    It works out the step

    It decides what the job needs in Gigasheet. You do not pick anything from a menu or wire anything together.

  3. 03

    It does the work

    Signed in to your own Gigasheet account, inside the access you granted it, doing the thing you asked for.

  4. 04

    It reports back

    It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.

29 tools it already has

What it can do in Gigasheet

These are the ready-made tools your AI employee already has in Gigasheet. It is not limited to them, but it never has to be taught these.

  • Append Rows to Sheet by NameTool to append rows to a sheet by column names. Use after verifying the sheet handle and column names.
  • Apply Filter Template On SheetTool to fetch a saved filter template's model for a given sheet. Use when you need the exact filter structure for a specific sheet and template.
  • Combine Files by NameTool to combine multiple files by a shared column name. Use when you need to merge several Gigasheet files based on a common header.
  • Create/Update Filter TemplateTool to create or update a saved filter template. Use when you need to persist or modify filter criteria by providing a filter handle and the filter model.
  • Delete sheet or folder by handleTool to delete a sheet or folder by handle. Use after obtaining the handle of a sheet or empty folder. Set recursive=True to delete all children of a folder.
  • Export Gigasheet to S3Tool to export Gigasheet data to AWS S3. Use after generating an export handle and ensuring the S3 bucket has correct permissions.
  • Generate New HandleTool to generate a new unique dataset handle. Use when you need a fresh FileUuid before creating or referencing datasets.
  • Get Authenticated User InfoTool to fetch the authenticated user's details. Use after setting a valid Gigasheet API token.
  • Get Client State Current VersionTool to fetch the current client-state version metadata for a sheet. Use after obtaining a sheet handle to determine the current version identifier for creating views.
  • Get Connector ConnectionsTool to list connector connections. Use after setting a valid Gigasheet API token.
  • Get Dataset by HandleTool to get dataset metadata. Use after you have obtained the dataset handle.
  • Get Dataset ColumnsTool to list all column metadata (IDs, names, types) for a dataset. Use after obtaining a dataset handle.
  • Get Dataset Export Download URLTool to retrieve the download URL for an exported dataset. Use after initiating an export and obtaining its handle.
  • Get Dataset ViewsTool to list all views associated with a specific dataset. Use after confirming the dataset handle and its status.
  • Get Docs Formulas FunctionsTool to retrieve all supported formula functions. Use after authenticating with a valid API token.
  • Get Filter TemplatesTool to retrieve all saved filter templates. Use after authentication is confirmed.
  • Get Filtered Row IndexTool to retrieve the filtered-set row index for a given unfiltered row number. Use after applying filters when you need the row's position in the filtered view.
  • Get User Autofill InfoTool to fetch autofill info for the authenticated user. Use after setting a valid Gigasheet API token.
  • Import from S3Tool to import data from AWS S3 into your Gigasheet Library. Use when you need to pull objects or prefixes from an S3 bucket into Gigasheet.
  • Initiate Dataset ExportTool to initiate an export of a dataset. Use when you need to queue an export job with optional filtering. Use after preparing any filter state. Example: Initiate export for sheet
  • Insert Blank Row in DatasetTool to insert a blank row with null values into a dataset. Use after determining the insertion index.
  • Rename Columns to UniqueTool to rename all columns in a dataset to unique names. Use when duplicate column names could cause conflicts in downstream processing.
  • Request API AccessTool to request access to the Gigasheet API. Use when you need to obtain an API key.
  • Save Current ViewTool to persist the current view in a Gigasheet dataset. Use after configuring a view to ensure the current layout and filters are saved on the server.
  • Set Dataset Client State VersionTool to set the client state version of a dataset. Use when you need to apply or revert to a saved client state version after data updates.
  • Share fileTool to share a Gigasheet file with specified recipients. Use after creating or updating a sheet to grant email-based access.
  • Unroll Delimited ColumnTool to explode a column containing delimited data into multiple rows. Use after confirming dataset handle and target column.
  • Update cell by column name and rowTool to update a cell in a dataset by specifying column name and row number. Use after dataset is loaded and column name uniqueness is ensured.
  • Upload from URLTool to upload data to Gigasheet from a specified URL. Use when you have a public or pre-signed link and want to ingest it directly.
Access, and who is in charge of it

You stay the boss of your Gigasheet account.

Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.

How we handle your data
  • It signs in to your own Gigasheet account. You are not moving anything into ours.
  • You grant access one app at a time, and you can take it back the same way.
  • Everything it does in Gigasheet is written down, with what it did and when.
  • Anything you tell it to check with you first, it checks with you first.
Other apps in the same corner of the business

It works in Gigasheet and the rest of your software in the same job

A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.

See every app

Questions people ask about Gigasheet

Can an AI employee really work inside Gigasheet?
Yes. It signs in to your own Gigasheet account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
Do I have to move anything out of Gigasheet?
No. Nothing moves and nothing is replaced. Your records stay in Gigasheet, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
How does it get into my Gigasheet account?
You paste in a key from your own Gigasheet account. It is kept encrypted, and you can withdraw it from inside Gigasheet whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
What can it actually do in Gigasheet?
It has 29 ready-made tools in Gigasheet today, among them Append Rows to Sheet by Name, Apply Filter Template On Sheet and Combine Files by Name. The full list is on this page. It is not limited to those, but it never has to be taught them.
Can it use Gigasheet and the rest of my software in the same job?
Yes, and that is usually the point. Reading a message in one app, checking a record in Gigasheet and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
Who decides what it is allowed to do in Gigasheet?
You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Gigasheet is written down with what it did and when.