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Marketplace Charges — Record Quality Audit + String Normalisation + Date by Category Pivot
x402
Marketplace Charges — Record Quality Audit + 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 2026-11-02).
Runs three local analytical reports on marketplace charge records: a record quality audit, string normalisation, and a date-by-category pivot — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Marketplace charges — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied marketplace charges records (gross_amount, fee_amount). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports returned in the response: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed dates; (2) a string normalisation report standardising store_group values; and (3) a date-by-category pivot summarising the selected numeric field (gross_amount or fee_amount) broken down by date and store group category.
Example use cases
Monthly marketplace fee data cleanse
“I've got 120 rows of marketplace charges for October — each has a row_id, store_group, date, gross_amount, and fee_amount. Can you run a record quality audit, normalise the store_group strings, and give me a pivot of fee_amount by date and category?”
Spot data issues before finance report
“Before I send my retail charge data to finance, can you audit the record quality, fix any string formatting in store_group, and pivot the gross_amount by date and store group? I have about 80 rows to check.”
Compare store group charges across dates
“I need to understand how gross_amount varies across my store groups over the past quarter — can you run the quality audit, string normalisation, and date-by-category pivot on my 200 marketplace charge records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-16-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous local analytical operations on marketplace charge data (quality audit, string normalisation, date pivot) in a single call without any external lookups or live data dependencies. It is well-suited for pre-reporting data hygiene checks on batches of up to 200 retail charge records with gross_amount and fee_amount fields.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, store_group, date, gross_amount, fee_amount) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the ±1,000,000,000,000 range are rejected
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (anything other than gross_amount or fee_amount) causes an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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