Financial Statement Inputs — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Normalises string fields and produces a date-by-category pivot table from up to 200 rows of financial statement data (revenue and expense amounts).
Financial statement inputs — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied financial statement inputs records (revenue_amount, expense_amount). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Returns two analytical reports for the submitted rows: (1) a string-normalised version of the text fields (row_id, instrument_group) and (2) a date-by-category pivot table for the selected numeric field (revenue_amount or expense_amount), aggregated by date and instrument_group across up to 200 input rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-22-035?utm_source=zero.xyzChoose this endpoint when you need both string normalisation of text identifiers and a date-by-category pivot table in a single low-cost call on financial statement data (revenue and expense amounts). It is well-suited for batch processing up to 200 rows of structured financial records locally without external lookups or predictions, and delivers two distinct analytical reports for $0.01 USDC per call.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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