Create a saved analysis worksheet from table rows, with support for AI and formula columns; read_table and aggregate_table query existing columns. Added columns can be inspected, filtered, aggregated and reused, and the source table is unchanged.
At most 10000 rows are copied (server-enforced). When more rows match and neither rowLimit nor sampleRows is set, the kept rows are an arbitrary subset, not a random sample; rowsMatchingFilter (or rowsBefore without a filter) above rowsAfter shows the cut. Admin-configured Table View filters apply before where, and the counts include them.
The worksheet exists when this returns, but its rows load asynchronously, so it can briefly read as empty and rowsAfter can be absent. A large source can outlast the call’s timeout while the server keeps working; a blind retry then creates a duplicate worksheet, and list_worksheets shows whether the first one was created.
Source column ids to copy; omitted copies every non-system column. A narrowed list keeps ticket_sid or the column whose kind is external_gradable_reference, or enrichment cannot read the conversations.
Keep a uniform random sample of N rows drawn after where, fresh on each call. Not combinable with rowLimit.
Required range: 1 <= x <= 10000
Response
200
Tool result.
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All columns requested together are filled in a single LLM call per row.\n\nThe job runs in the background and this returns its `jobId` at once; get_enrich_status with the worksheetId and jobId reports progress and completion. `columns` pairs each new column's display name with its `id`, and queries take the `id`.","deprecated":null,"version":null,"playground":"none","openapi":"/api-reference/tools-openapi.json post /v1/enrich_worksheet","href":"/api-reference/enrich_worksheet"},{"title":"get_enrich_status","deprecated":null,"version":null,"playground":"none","openapi":"/api-reference/tools-openapi.json post /v1/get_enrich_status","href":"/api-reference/get_enrich_status"},{"title":"export_worksheet","deprecated":null,"version":null,"playground":"none","openapi":"/api-reference/tools-openapi.json post /v1/export_worksheet","href":"/api-reference/export_worksheet"}]}]},{"group":"AI pipelines","pages":[{"title":"AI pipelines","sidebarTitle":"Overview","href":"/api-reference/pipelines/overview"}]}]}]},"basePath":"","title":"create_worksheet - Rippit","buildId":"dpl_DTau1J5HqS9UTgVSDwGksstFWtPa","deploymentId":"dpl_DTau1J5HqS9UTgVSDwGksstFWtPa","dynamics":["c2aa737661","2b790eda92","b0f84f53ff","a9bb46feb3"],"chunks":["OpenApiReferenceProvider-5FCzAcfS.js","utils-SLtAG4EZ.js","cloneDeep-izs3Hzxb.js","_Uint8Array-BVIqJ90l.js","isObjectLike-C8vmzPEN.js","isArray-Dcu1dQ5t.js","utils-2DZi8ZMu.js","toString-BX-iyh8G.js","isSymbol-CSH9U2Gm.js","addUniqueKeysToSchema-D7J3nkzE.js","snippetPresets-D0Alv0AH.js","style-to-object-BY3JEAdk.js","v4-DIgz8zy6.js","conditional-requirements-CFM0id0Q.js","ApiExamples-BI4qNJ2c.js","isEqual-BfaiBbcl.js","usePlaygroundInputsStore-BD3uyr8j.js","shallow-D8iEBr5z.js","getApiPlaygroundDisplay-CgNP4lzR.js","CodeSnippet-CX-QHuMs.js","CodeSnippets-VlXE-ZUf.js","Page-D9ithiIZ.js","getPastedJson-DYNQkZ1M.js","icon-CzacdwOi.js","MethodPill-2JVqoYKi.js","DuplicateIcon-_xVXs-U8.js","createIcon-BRHrweLo.js","DynamicMarkdown-mQG_iQiE.js","SectionHeading-DMpJzv8f.js","axios-vUo_bRtp.js","Markdown-5FGIym-8.js","clsx-D-TRO5q5.js","lib-DuNMoZ05.js","lib-B8HbPgcC.js","html-void-elements-mCSPHezU.js","dist-CdrJecqK.js","katex-YMM-FMeD.js","marked.esm-CZWythHk.js","AssistantPageLink-CHlcWBLM.js"]}