Puts a plain-language question to a huge dataset, cleans duplicate and broken rows, derives formula and label columns, and exports the finished view on request.
150actions available
Every action runs live through MCP. Nothing to build, nothing to maintain.
Ayro creates AI-powered analyses of Gigasheet datasets to answer questions about large data tables. Support agents extract insights from complex data without writing SQL or manual calculations.
Ayro updates individual cells in Gigasheet datasets by specifying column name and row number. Data corrections happen instantly without navigating spreadsheet interfaces manually.
Ayro shares Gigasheet files with specific recipients to collaborate on data analysis with customers or team members. Teams distribute data insights without manual email attachments.
Each card is one request a support team gets, and the Gigasheet actions Ayro runs to close it.
Ayro puts the question to the dataset's AI chat, reads the columns behind the answer, and counts the rows it covers, so a file too large to open still gives up a specific number.
Ayro removes the duplicated rows, trims the whitespace that quietly breaks a join, and drops everything outside the filter, so what someone downloads is the usable version.
Ayro generates the formula, previews what it produces before anything is committed, and adds the conditional label column that turns raw values into the categories people ask about.
Ayro saves the current view, starts the export, and hands back the download URL, so the person waiting gets the filtered slice rather than a link to the whole dataset.
How it works
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the Gigasheet actions it has and picks the ones a request needs.
Authorize the Gigasheet account your team already uses — one consent screen, no API keys, no mapping tables. Ayro can only do what you granted that account, and you can disconnect it at any time.
Describe the job the way you would hand it to a teammate. Ayro maps it to the Gigasheet actions that close it and chains as many as the request needs.
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started freeGigasheet · Ayro
What can you do in Gigasheet without me setting anything up?
These, right away:
Great, let's start with the first one.
FAQ
Setup, permissions, and the limits of what Ayro can do inside Gigasheet.
Yes. Calculate Enrich Expected Credits prices the job up front, Get User Enrichment Credits reports the balance left, and Preview HTTP Enrichment shows what the enrichment returns on a sample before it runs across the whole file.
All 150 actions your agent can call on Gigasheet, straight from the live MCP connection.
Appends rows to an existing Gigasheet dataset using column letters as keys.
Append data from a source sheet to a target sheet by matching column names.
Apply generic HTTP enrichment to a Gigasheet dataset.
Calculate expected credits for a user-defined HTTP enrichment operation.
Cancel a running enrichment task.
Check if a source of the given type is available.
Combine multiple files into a new file.
Copy a file in Gigasheet.
Count how many duplicates will be removed and how many rows remain when deduplicating.
Count the number of groups matching certain criteria in a Gigasheet dataset.
Counts rows in a Gigasheet dataset matching specified filter criteria.
Get total activity count on a given Gigasheet dataset.
AI analysis assistant for Gigasheet datasets.
Add a comment to a column in a Gigasheet dataset.
Add a comment to a specific cell in a Gigasheet dataset.
Add a label column to a Gigasheet dataset with values based on conditional filters.
Create a new column based on a formula input in a Gigasheet dataset.
Edit a formula column in a Gigasheet dataset.
Calculate a formula preview on a Gigasheet dataset and return sample results with involved column values.
Add an iterator column to a Gigasheet dataset based on current filters and order.
Create a new liveshare for a Gigasheet dataset.
Create a new view for a Gigasheet dataset with a specified name and client state version.
Explode JSON data in a column into separate columns.
Retrieve ungrouped aggregated values for a Gigasheet file.
Create an empty file in your Gigasheet Library.
Create a new folder in your Gigasheet Library.
Creates a cross-file lookup to enrich data by matching values between two sheets.
Interact with Gigasheet Sheet Assistant via the Model Context Protocol (MCP) over HTTP.
Split a column into multiple columns based on a separator.
Delete Sheet Assistant chat history for a specific sheet.
Same connection, same setup. Pick the next one your team already uses.
Reads funnel, retention, and revenue metrics on request, annotates releases on the chart, updates cohort membership, and files GDPR deletions.
Creates Databox data sources and datasets, pushes records into them, verifies each ingestion landed, and removes what is no longer feeding a dashboard.
Triggers project runs, reports run status and rendered charts, edits draft cells, and keeps workspace collections and sharing tidy.
Reads a forest's CO2 captured and tree counts, lists the active planting projects behind them, and onboards users to a plantation account.
Searches Ragic sheets for the record behind a question, reads its fields, and returns it as a PDF or the file attached to the row.
Reads form responses and the questions behind them, builds and edits forms from block definitions, and wires submissions out through webhooks.

Authorize the account and your agent has all 150 actions from the first conversation.
