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Dataset Row → Append
AI-generatedSummary
Append a new row to an existing dataset table within a specified space by providing the row data in one of three modes: auto-mapping input fields to columns, manually specifying columns and values, or inputting raw JSON. Optionally ignore specified input fields to avoid API rejections.
Inputs
- Space ID (required) — The ID of the space holding the dataset where the row will be appended.
- Table Name (required) — The name of the existing dataset table to which the row will be appended.
- Data Mode (required) — Specifies how to supply the row data: auto-map input item fields to dataset columns, manually define each column value, or provide a raw JSON object representing the row.
- Values to Send — When using manual mapping mode, specify the column names and string values to write to each column in the new row.
- Data (JSON) — When using raw JSON mode, provide the complete row as a JSON object keyed by column names, preserving native data types.
- Options - Fields to Ignore — Comma-separated list of extra input fields to exclude from the appended row to prevent API errors caused by unknown columns.
Output shape
a single record representing the appended dataset row as returned by the API
The returned data reflects the created row, including any server-generated fields. If additional input fields are not ignored but do not match dataset columns, the API rejects the request.