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Trade Observations String Normalisation and Date by Category Pivot
x402
Trade Observations String Normalisation and 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 2026-10-26).
Normalises string fields and produces a date-by-category pivot table for trade observation records (export_amount and import_amount) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trade observations — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied trade observations records (export_amount, import_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.
Output
Two local analytical reports: (1) a string-normalised version of the region field across supplied rows, and (2) a date-by-category pivot table for the chosen field (export_amount or import_amount), aggregating values across up to 200 trade observation rows grouped by date and region.
Example use cases
Regional export trend pivot
“I have 50 rows of trade data with regions and dates — can you normalize the region names and pivot the export_amount by date and region so I can see totals per category over time?”
Import amount date breakdown
“Take these trade observation records and run string normalisation on the region column, then give me a date-by-category pivot for import_amount across all the rows I'm sending.”
Multi-region trade data cleanup
“I've got a messy trade dataset with inconsistent region labels and export figures for about 120 rows — can you clean up the strings and create a date pivot grouped by region for the export_amount field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-06-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical/region labels AND a date-by-category pivot table in a single $0.01 call for up to 200 trade observation rows. It is purpose-built for trade economics data (export_amount, import_amount) and delivers two complementary reports using shared local engines — no external lookups, live data, or predictions involved. Prefer this over general data tools when your input is structured trade records with region, date, and amount fields.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, region, date, export_amount, import_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) rejected by pattern constraint
- Numeric values outside ±1,000,000,000,000 range rejected
- Invalid field enum value (not export_amount or import_amount) causes error
- Empty rows array (minItems: 1) rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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