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Bundle Sales String Normalisation + Trailing Mean Series
x402
Bundle Sales String Normalisation + Trailing Mean Series 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).
Runs two local analytical reports on bundle sales data: string normalisation and trailing mean series for up to 200 rows of bundles_sold or component_units data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Bundle sales — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied bundle sales records (bundles_sold, component_units). 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 analytical reports for the supplied bundle sales rows: (1) a string normalisation report for the selected field across all rows, and (2) a trailing mean series computed over the specified rolling window for each row, both generated using local analytical engines with no external lookups.
Example use cases
Rolling average for bundle sales trend
“I've got 50 rows of daily bundle sales across three store groups and I want a trailing mean series on bundles_sold with a window of 7 — can you run that alongside a string normalisation report for those same rows?”
Component units data cleaning and smoothing
“Can you normalise the component_units strings and compute a trailing mean series with a window of 4 for my 120 rows of bundle sales records? The rows have store_group, date, bundles_sold, and component_units columns.”
Multi-store bundle sales analytics
“I have weekend bundle sales data for 30 rows across group-a and group-b stores — please run string normalisation and a trailing mean series with window size 3 on the bundles_sold field so I can compare store performance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-15-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a trailing mean series computed together on bundle sales records (bundles_sold, component_units) in a single low-cost call. Ideal for retail analytics pipelines processing up to 200 rows of bundle data where two bundled reports at $0.01 USDC offer better value than separate calls. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.
Side effects
- Fewer than 1 row or more than 200 rows submitted — validation error
- Window size smaller than 2 or larger than 200 — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Missing required fields (row_id, store_group, date, bundles_sold, component_units) — request rejected
- Field value not one of 'bundles_sold' or 'component_units' — enum validation failure
- Payment not included or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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