Tool to get total activity count on a given Gigasheet dataset. Use when you need to determine how many activities (creates, updates, deletes) have been performed on a dataset. This action counts activities matching the specified criteria such as time range, users, action types, and categories. Non-blank criteria are AND-ed together, while multi-value fields (Actions, Categories, Users) are OR-ed. Returns the total count of matching activities.

AI analysis assistant for Gigasheet datasets. Use this to ask natural language questions about sheet data and get AI-powered insights. Only available for sheets where you have write permissions. Common use cases: - Get summaries of data patterns and trends - Ask questions about specific columns or values - Request analysis of data relationships - Extract key insights from large datasets Note: Requires write access to the target sheet.

Tool to add a comment to a column in a Gigasheet dataset. Use this when you need to annotate or document a specific column with explanatory text. Optionally notify other users by tagging their email addresses.

Tool to add a comment to a specific cell in a Gigasheet dataset. Use when you need to annotate or add notes to a particular cell location in the sheet.

Tool to add a label column to a Gigasheet dataset with values based on conditional filters. Use when you need to categorize or label rows based on column values. This action creates a new column where each row's label is determined by evaluating filter conditions. Cases are evaluated in order, and the first matching case determines the label. Rows not matching any case receive the defaultLabel (if specified). Before using this tool: 1. Obtain a valid dataset handle using actions like GIGASHEET_POST_UPLOAD_URL or GIGASHEET_GET_DATASET_HANDLE 2. Identify column IDs/names using GIGASHEET_GET_DATASET_HANDLE_COLUMNS 3. Construct appropriate filter models - note that filter values must be strings even for numeric comparisons Example use case: Create a "Priority" column that labels rows as "High" if Amount > 1000, "Medium" if Amount > 100, otherwise "Low".

Tool to create a new column based on a formula input in a Gigasheet dataset. Use when you need to calculate values based on existing columns. This action creates a new column with values computed from a formula. You must reference columns by letter (e.g., 'A', 'B', 'C') using the 'formula' parameter. The 'literalFormula' parameter can be provided alongside 'formula' for documentation purposes to show the human-readable column names, but cannot be used alone. Formula syntax supports: - Column references: A, B, C (required, use column letters) - Arithmetic operations: +, -, *, / - Functions: UPPER(), LOWER(), CONCATENATE(), etc. - Example: "A * 2", "UPPER(B)", "CONCATENATE(B, C)" Before using this tool: 1. Obtain a valid dataset handle using GIGASHEET_POST_UPLOAD_URL or GIGASHEET_GET_DATASET_HANDLE 2. Use GIGASHEET_GET_DATASET_HANDLE_COLUMNS to identify column letters for formula construction 3. Construct the appropriate formula expression based on your calculation needs

Tool to edit a formula column in a Gigasheet dataset. Use when you need to update an existing formula column with a new formula, rename it, or reposition it. The column must already exist and be a formula column created previously.

Tool to calculate a formula preview on a Gigasheet dataset and return sample results with involved column values. Use this action when you need to: - Test a formula expression before applying it to an entire column - Preview formula calculations on sample data - Validate formula syntax and see example outputs - View which columns are involved in the formula computation The action returns sample rows showing the formula result along with the values from columns referenced in the formula. This is useful for validating formulas before creating computed columns or performing bulk calculations.

Tool to add an iterator column to a Gigasheet dataset based on current filters and order. Use when you need sequential row numbers in your data. This action creates a new column with sequential numbers (1, 2, 3, ...) for each row. The numbering respects any applied filters and sort order, making it useful for ranking, indexing, or tracking row positions after data transformations. Before using this tool: 1. Obtain a valid dataset handle using GIGASHEET_POST_UPLOAD_URL or GIGASHEET_GET_DATASET_HANDLE 2. Optionally define filters using filterModel to number only specific rows 3. Optionally specify sort order using sortModel to control the numbering sequence

Tool to create a new liveshare for a Gigasheet dataset. Returns a share ID and URL for accessing the current CSV data in the sheet. Use when you need to generate a shareable link that provides live access to dataset content.

Tool to create a new view for a Gigasheet dataset with a specified name and client state version. Use when you need to save a specific dataset state as a named view for later reference.

Tool to explode JSON data in a column into separate columns. Extracts all keys from JSON objects and creates a new column for each key. Use when you need to flatten nested JSON data in a Gigasheet dataset.

Tool to retrieve ungrouped aggregated values for a Gigasheet file. Returns aggregated data as specified in the request payload, including support for pivot mode, filtering, sorting, and various aggregation functions. Use when you need to compute summary statistics across columns without grouping by specific keys.

Tool to create an empty file in your Gigasheet Library. Use when you need a blank spreadsheet with a specified number of rows and columns.

Tool to create a new folder in your Gigasheet Library. Use when you need to organize datasets by creating a new directory for file storage.

Creates a cross-file lookup to enrich data by matching values between two sheets. Use when you need to pull related data from a reference sheet into your source sheet based on matching column values. This is similar to VLOOKUP in Excel. Before using this tool: 1. Obtain valid handles for both the source and reference datasets 2. Identify the column IDs (A, B, C, etc.) in both sheets using GIGASHEET_GET_DATASET_HANDLE_COLUMNS 3. Ensure the columns you're matching have compatible data types The lookup will create a new column in the source sheet with values from the reference sheet where matches are found.

Tool to interact with Gigasheet Sheet Assistant via the Model Context Protocol (MCP) over HTTP. Use when you need to query or manipulate sheet data through MCP-compatible LLM tools. This endpoint implements JSON-RPC 2.0 protocol and supports MCP methods like 'tools/list' (to discover available tools) and 'tools/call' (to execute specific tools). The Sheet Assistant can perform operations like querying data, analyzing sheets, and other data manipulation tasks.

Tool to split a column into multiple columns based on a separator. Use when you need to divide column values into separate columns in a Gigasheet dataset.

Tool to delete Sheet Assistant chat history for a specific sheet. Use when you need to clear all AI assistant conversation logs associated with a sheet handle.

Tool to delete multiple columns from a Gigasheet dataset by their column names. Use when you need to remove specific columns from a sheet.

Tool to delete a connector source for the authenticated user. Use when you need to remove an integration connection such as Salesforce, S3, or Google Sheets from Gigasheet.

Tool to delete a comment from a cell in a Gigasheet dataset. Use this when you need to remove a specific comment that was previously added to a cell. The comment ID can be obtained using the list comments action.

Deletes rows in a Gigasheet dataset that do NOT match the specified filter criteria. Use this when you want to keep only the rows that match a filter and remove everything else. The filter uses Conjunctive Normal Form (CNF) where conditions can be combined with AND/OR logic.

Tool to delete duplicated rows from a Gigasheet dataset based on specified columns and sort model. Use when you need to remove duplicate entries identified by matching values in one or more columns. When multiple rows have identical values in the specified columns, the sort model determines which row to keep (if not specified, default sheet row order is used). Optionally apply a filter to deduplicate only a subset of rows.

Tool to delete selected rows from a Gigasheet dataset. Use when you need to remove specific rows identified by their row IDs (iterator numbers). Row IDs are subject to change, so it's best practice to obtain them immediately before deletion using a query or list action.

Tool to delete rows in a Gigasheet dataset that match a specified filter. Use when you need to remove specific rows based on filter criteria. The filterModel uses Conjunctive Normal Form (CNF) structure with column identifiers, filter values, and match conditions.

Tool to delete a specific view from a Gigasheet dataset. Use when you need to remove a saved view from a dataset. Requires both the dataset handle and the view handle to identify the view to delete.

Tool to delete a live share of a Gigasheet dataset. Use when you need to revoke or remove an existing live share link. The shareid is the unique identifier of the live share to be deleted.

Deletes a Gigasheet sheet or folder by its unique handle identifier. For sheets, this permanently removes the dataset. For folders, use recursive=True to delete the folder along with all its contents (sheets and subfolders), or omit/set to false to delete only empty folders. The handle can be obtained from sheet URLs or from create/upload operations.

Tool to delete a single column from a Gigasheet sheet by its column identifier. Use when you need to permanently remove a specific column from a sheet.

Tool to delete a saved filter template by its unique handle. Use when you need to remove a persisted filter configuration that is no longer needed.

Tool to delete multiple columns from a Gigasheet file. Use when you need to remove specific columns from a sheet by their identifiers.

Tool to retrieve rows from a Gigasheet file matching specified filter criteria. Use when you need to query or extract data from a sheet with optional filtering, sorting, and pagination. For basic filtering, only the filterModel field needs to be specified.

Generates an AI-powered description for a Gigasheet dataset. Use this when you need to automatically create a summary or description of a dataset's content and structure based on its data.

Tool to retrieve AI chat history for a sheet. Returns up to 20 most recent messages exchanged with the sheet assistant. Use when you need to review previous AI interactions or understand the conversation context for a specific sheet.

Tool to get comments for a specific cell in a Gigasheet dataset. Use when you need to retrieve comments that have been added to a particular cell at the intersection of a column and row.

Retrieves the current client-state version and timestamp for a specified sheet. The version identifier is used when creating or updating views and saved states. Call this action after obtaining a sheet handle to get the latest version before performing state-related operations.

Tool to get connection parameters for a specific connector. Use when you need to discover what parameters are required to set up a connector integration.

Tool to retrieve connection parameters for a specific connector type. Use when you need to discover what parameters are required to configure a data source connection.

Tool to list connector connections. Use after setting a valid Gigasheet API token.

Tool to retrieve information about connected data sources for the user. Returns a list of data sources with their type, status, and folder location. Use after setting a valid Gigasheet API token.

Tool to get parameters required for a specific connector source type. Use when configuring a data source connection to understand what information needs to be collected from the user.

Tool to get comments for a specific column in a dataset sheet. Use when you need to retrieve comments that have been added to a particular column.

Retrieves comprehensive metadata for a specific dataset in Gigasheet. This tool fetches detailed information about a dataset including its processing status, file properties, column structure, owner information, and more. Use this after uploading a file or when you have a valid dataset handle to get its current state and schema. Common use cases: - Check if a dataset has finished processing (Status field) - Get column names and data types for the dataset - Retrieve file size, row count, and creation timestamps - Verify dataset ownership and access

Tool to list all column metadata (IDs, names, types) for a dataset. Use after obtaining a dataset handle.

Tool to retrieve the download URL for an exported dataset. Use after initiating an export and obtaining its handle.

Tool to retrieve CSV data from a Gigasheet liveshare. Returns the current data in text CSV format. Use when you need to export or access shared dataset data via a liveshare link.

Tool to retrieve a dataset's note by handle. Use this to get AI-generated or user-provided descriptions of a dataset.

Tool to retrieve organization file permissions for a dataset. Use when you need to check what permissions the requester's organization has on a specific file. This action returns permissions only for the same organization that the requester is a member of. The permissions are returned as a list of integers representing different permission levels.

Retrieves metadata about a dataset at a specific version. Returns information including file name, column names and types, row count, modification timestamp, and processing status. Use this when you need to access historical versions of a dataset or verify dataset state at a particular point in time.

Tool to list all views associated with a specific dataset. Use after confirming the dataset handle and its status.

Tool to get information about the last operation on a dataset. Use when you need to check if a long-running operation (like import, export, or data transformation) has completed.

Tool to get the list of write actions on a given dataset sheet. Use this to retrieve the activity history and audit trail of modifications made to a dataset.

Tool to retrieve view metadata for a specific view within a dataset. Use when you have both a dataset handle and a view handle to get detailed view information.

Tool to retrieve all supported formula functions. Use after authenticating with a valid API token.

Tool to get status for a user-defined HTTP enrichment task. Use when you need to check if an enrichment operation has completed or to monitor its progress.

Tool 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.

Retrieves all saved filter templates from GigaSheet. Filter templates store reusable filter configurations that can be applied to datasets. Returns a list of templates with their IDs, names, owners, filter criteria, and timestamps. Supports optional pagination via the page parameter.

Retrieves details of a specific saved filter template by its unique handle. Use when you need to inspect a particular filter template's configuration, metadata, or filter criteria.

Tool to generate a new unique dataset handle. Use when you need a fresh FileUuid before creating or referencing datasets.

Tool to retrieve all datasets and files in the user's Gigasheet library. Returns all datasets owned by the user at any folder depth, files directly shared with the user, and IDs of files the user has shared. Use this to get a complete overview of all accessible files and their metadata including status, sharing permissions, and file properties.

Retrieves all library files with file permissions in a given directory. Returns library files owned by the user making the request, limited to the requested directory level only (does not include nested files from deeper subdirectories).

Tool to retrieve suggested recent files for the home page. Returns a list of recently accessed datasets with metadata, permissions, and sharing information. Use when you need to display or work with the user's recent files.

Tool to retrieve the chain of parent directories for a file or folder in Gigasheet. Returns the complete path hierarchy from root to the specified item, sorted by folder level. Use when you need to understand the location of a file or folder within the library structure.

Tool to retrieve public NPI (National Provider Identifier) profile from TICIntel database. Use when you need comprehensive information about a healthcare provider including their specialty, location, procedures, payment rates, and TICIntel scoring data. The NPI must be a valid 10-digit number registered in the TICIntel database.

Tool to retrieve public NPI (National Provider Identifier) profile information for healthcare providers. Use this when you need to look up provider details, specialties, locations, or TIC scores by NPI number. Returns comprehensive provider data including taxonomy, procedures, and location information.

Tool to list available TIC Intel states from Gigasheet. Returns a list of state names or codes that can be used for TIC Intel data queries. Use when you need to know which states are available for TIC Intel analysis.

Tool to retrieve a list of cities for a given US state code from the TICIntel dataset. Use when you need to get all available cities within a specific state.

Tool to retrieve a list of healthcare providers in a specific city and state from the TicIntel dataset. Use when you need to find providers by geographic location.

Retrieves detailed information about the authenticated user in Gigasheet. Use when you need to check user account details, storage quota usage, or verify assigned roles and permissions.

Tool to get the current user's enrichment credit information. Use when you need to check available enrichment credits or usage.

Tool to retrieve metadata for the authenticated user. Returns user metadata including billing info, feature flags, and onboarding status. Use when you need to fetch user configuration or settings.

Retrieves autofill suggestions for the authenticated user, including team members and previously used share recipients. Useful for autocomplete functionality when sharing files or collaborating with team members.

Tool to get the amount of space used by the current user in bytes. Use when you need to check storage usage.

Tool to fetch the authenticated user's details. Use after setting a valid Gigasheet API token.

Tool to list available Gigasheet billing plans. Returns all billing plans with their item details and pricing information. Use when you need to view subscription options.

Tool to get all comments in a dataset sheet. Use this when you need to retrieve comments that have been added to cells in the dataset.

Tool to list all liveshares for a specific Gigasheet dataset. Use when you need to view existing shared links for a dataset.

Tool to retrieve all datasets owned by the user at any folder depth. Returns a list of datasets with their metadata. The API may trim certain fields to keep response size manageable. Use the 'types' parameter to filter by dataset type (sheet or export).

Tool to list files and datasets in a given Gigasheet location. Use when you need to browse the contents of a parent dataset or folder, optionally filtering by type (sheet or export). Supports pagination for large result sets. Returns metadata about each file including handle, name, size, status, and timestamps.

Tool to list exports owned by the current user, regardless of location. Use when you need to retrieve all exports associated with the authenticated user's account.

Tool to retrieve all files with permissions shared with the user in a specific directory location. Use when you need to see what files have been shared with you in a particular folder. Returns files limited to the requested directory level and will not return nested files at any deeper directory level.

Tool to move a file or folder into a folder or to the root of your Library. Use when organizing your Gigasheet workspace. The destination folder must already exist, and creating directory loops is forbidden.

Tool to update user metadata in Gigasheet. Use this to modify user-level settings such as billing integration (Chargebee ID), feature flags (pre-analysis), and onboarding state. At least one field must be provided to perform the update.

Tool to generate Excel-style formulas using AI based on natural language queries. Use when you need to create formulas for data transformation, calculation, or extraction on a Gigasheet dataset. This action is available for sheets where you have read permissions. Provide a natural language description of the operation you want to perform, and the AI will generate the appropriate formula syntax that can be applied to your sheet data.

Tool to change a column's data type in a Gigasheet dataset. Use when you need to convert column data from one type to another (e.g., string to number, text to IP address). The operation is asynchronous and returns a success acknowledgment.

Tool to change the case of a column to Uppercase, Lowercase, Capitalized, or Proper. Use when you need to standardize text formatting in a column for consistency or data processing requirements.

Tool to clean company names by stripping common business suffixes (Inc., LLC, Corp., etc.). Use when standardizing company names to avoid duplicates. Currently works only on English-alphabet versions of names.

Tool to combine multiple columns into a single new column with a separator. Use when you need to merge column values from a Gigasheet dataset.

Appends one or more rows to a Gigasheet dataset using column names as keys. This tool adds new rows to an existing dataset by matching the keys in each record to the column names in the sheet. Column names must match exactly (case-sensitive). You can provide partial records (only some columns), and missing columns will be left empty. Before using this tool: 1. Obtain a valid dataset handle (e.g., using GIGASHEET_POST_UPLOAD_URL or GIGASHEET_GET_DATASET_HANDLE) 2. Retrieve column names using GIGASHEET_GET_DATASET_HANDLE_COLUMNS to ensure you use correct names The API will return an error if the handle is invalid or column names don't match.

Tool to generate AI-powered tips for analyzing a dataset. Use when you need suggestions for data analysis or exploration. This action generates intelligent recommendations based on the dataset structure and content to help users discover insights and perform meaningful analyses.

Initiates an asynchronous export job for a Gigasheet dataset. Returns an export job handle that can be used with the download export endpoint to retrieve the exported file once processing completes. Use this action when you need to: - Export a complete dataset to CSV format - Export a filtered subset of data by applying column filters - Create downloadable data snapshots for sharing or backup The export process is asynchronous - this action queues the job and returns immediately with a handle. Use the GET /dataset/{handle}/download-export endpoint to poll the export status and download the file when ready. Example usage: 1. Export entire dataset: {"handle": "9f60b220_8716_49eb_ad53_a206f8aaa0bf"} 2. Export with filter: {"handle": "9f60b220_8716_49eb_ad53_a206f8aaa0bf", "gridState": {"filterModel": {"Year": {"type": "equals", "filter": "2023"}}}}

Tool to find and replace values in specified columns of a Gigasheet dataset. Use when you need to update or clean data by replacing specific values across one or more columns. This action creates a new column with the replaced values (keeping the original column name) and renames the original column to 'Original Values - [column name]' for reference.

Tool to insert a blank row with null values into a dataset. Use after determining the insertion index.

Tool to rename all columns in a dataset to unique names. Use when duplicate column names could cause conflicts in downstream processing.

Saves the current view state of a Gigasheet dataset and returns a view handle. This operation captures the current layout, filters, sorts, column visibility, and other view settings of the dataset at the time of the call. The returned view handle can be used to reference this saved view state later. Use this after applying filters, sorts, or other transformations that you want to preserve.

Tool to select specific columns from a Gigasheet dataset by name, keeping only those columns in the specified order. Use when you need to reduce a dataset to only certain columns or reorder columns. All columns not specified will be deleted, but the row number column is always retained automatically.

Tool to extract domain from a URL column in a Gigasheet dataset. Use when you need to parse URLs and extract just the domain portion (e.g., extracting 'example.com' from '