Use Gigasheet from Claude Code
Bring Gigasheet context into engineering work while Type keeps app access attached to the teammate and workspace.
One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Gigasheet never means pasting credentials into a prompt.
Bring Gigasheet context into engineering work while Type keeps app access attached to the teammate and workspace.
Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.
Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.
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.
Connect Gigasheet once, then decide which teammates can use it for threads, automations, skills, and coding work.
Appends rows to an existing Gigasheet dataset using column letters as keys. Use when you need to add new data rows to a sheet by specifying values for each column position (A, B, C, etc.).
Tool to append data from a source sheet to a target sheet by matching column names. Use when you need to combine data from two existing sheets based on column name matching rather than column IDs. This action matches columns from the source sheet to the target sheet based on column names, with options for case-insensitive matching and trimming whitespace. Unmatched columns can optionally be added as new columns to the target sheet.
Tool to apply generic HTTP enrichment to a Gigasheet dataset. Use when you need to enrich dataset rows by calling external APIs and adding the response data as new columns. This action creates an enrichment job that calls a specified HTTP endpoint for each row (or batch of rows) in your dataset, extracts data from the API responses using JSON paths, and creates new columns with the enriched data. The operation is asynchronous and returns a job handle for monitoring progress. Common use cases: - Enrich customer records by calling a CRM API - Validate email addresses using a validation service - Lookup product details from an external catalog - Geocode addresses using a mapping API - Fetch social media profiles for contact enrichment
Calculate expected credits for a user-defined HTTP enrichment operation. Use this before initiating an enrichment to estimate costs based on the number of rows and columns that will be processed. This tool helps you: - Estimate credit costs before running an enrichment - Understand resource requirements for filtered enrichments - Plan budget for large-scale enrichment operations
Tool to cancel a running enrichment task. Use when you need to stop an in-progress HTTP enrichment job that was previously initiated. This action attempts to cancel an enrichment task identified by its task handle. Cancellation is only possible for tasks that are still in progress (not yet completed or already failed). The task handle is returned when you start an enrichment job using the apply enrichment endpoint.
Gigasheet provides a big-data spreadsheet API for automating large dataset workflows. Public API docs introduce the Gigasheet API and support use cases around uploading data, managing sheets/files, transforming large datasets, exporting results, and integrating spreadsheet-like analysis into data pipelines.
Yes. Type lets an AI teammate use connected Gigasheet actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.
Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Gigasheet catalog entry includes public integration details and example capabilities where available.
Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.
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