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Replenishment Timing — Record Quality Audit + String Normalisation + Equal-Width Histogram
x402
Replenishment Timing — Record Quality Audit + String Normalisation + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on supplied replenishment timing data (lead_days, received_units) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Replenishment timing — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied replenishment timing records (lead_days, received_units). 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
Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values per row; (2) a string normalisation report on categorical fields like store_group; and (3) an equal-width histogram of the selected numeric field (lead_days or received_units) divided into the specified number of bins with bin boundaries and counts.
Example use cases
Auditing lead time data quality
“I have 80 rows of replenishment timing data with lead_days and received_units — can you run a full record quality audit on them and tell me which rows have missing or out-of-range values?”
Histogram of received units distribution
“Run an equal-width histogram with 8 bins on the received_units field across my 150 replenishment records so I can see how deliveries are distributed across store groups.”
Normalising store group labels
“My replenishment dataset has inconsistent store_group strings across 60 rows — can you run string normalisation on them along with the quality audit and histogram for lead_days using 5 bins?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-12-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled local analytical operations on replenishment timing data in a single low-cost call — specifically a quality audit, string normalisation, and histogram — without any external lookup, prediction, or live data enrichment. Ideal for retail or supply chain analysts doing offline data profiling on up to 200 rows of lead time or received units records.
Side effects
- More than 200 rows submitted — request rejected
- Invalid date format in date field (must match YYYY-MM-DD)
- Missing required fields (row_id, lead_days, received_units) in row objects
- bins parameter out of range (must be 1–30)
- field value not one of the allowed enum values (lead_days, received_units)
- Payment of 0.01 USDC not provided — 402 response returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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