Developer Tools & DevOps

Connect Gigasheet to Your AI Agents

Enable your Wkil agents to browse, filter, and query large datasets, and export results, through a Gigasheet integration.

Authentication: API key

What you can do

Available capabilities may vary by authentication and workspace configuration.

List All Datasets

List datasets available in a Gigasheet workspace.

Filter File Rows

Filter a dataset's rows using specified criteria.

Update Dataset Cell

Update the value of a specific cell in a dataset.

Create AI Chat Query

Ask a natural-language question against a dataset.

Initiate Dataset Export

Start an export job for a dataset.

An agent filters a large dataset down to a relevant subset before analysis.
An agent answers a natural-language question about a spreadsheet without writing formulas.

1
Choose the integration
Add Gigasheet to your agent from inside the Wkil platform.
2
Grant the permissions it needs
Define precisely what the agent can access and perform.
3
Test, then run it
Test actions before they go live, with human approval where needed.

Permissions always stay in your control — you can scope access and require human approval before any sensitive action.

Can this handle very large spreadsheets?

Yes — Gigasheet is built for datasets far larger than a typical spreadsheet tool can handle.