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Replenishment Timing — String Normalisation + Daily Sum Series
x402
Replenishment Timing — String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Runs two local analytical reports on replenishment timing data: string normalisation of store/group fields and a daily sum series for lead_days or received_units, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Replenishment timing — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied replenishment timing records (lead_days, received_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
Returns two analytical reports: (1) a string normalisation report cleaning the store_group field across all supplied rows, and (2) a daily sum series aggregating the chosen numeric field (lead_days or received_units) by date. No external lookups or predictions are made — all computation is local and deterministic.
Example use cases
Daily lead time aggregation for retail stores
“I have about 150 replenishment records with dates, store groups, and lead_days values — can you give me a daily sum series for lead_days and also normalise the store group name strings so they're consistent?”
Received units trend by date
“Can you process my replenishment data — around 80 rows with date, store_group, and received_units — and produce a daily sum series for received_units alongside a string normalisation report on the store group labels?”
Cleaning and summarising multi-group replenishment logs
“I've got replenishment timing logs from multiple store groups across about 200 rows, each with a date, lead_days, and received_units. Please run string normalisation on the store_group field and generate a daily sum series for received_units.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-12-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical label fields and a daily aggregation time series from replenishment timing data in a single low-cost call. It is ideal for retail and supply chain analysts cleaning and summarising up to 200 rows of replenishment logs without needing live data, external lookups, or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, store_group, date, lead_days, received_units) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (not 'lead_days' or 'received_units') causes an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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