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Replenishment Timing Data Quality Suite
x402
Replenishment Timing Data Quality Suite is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs three data quality reports (record quality audit, string normalisation, and duplicate key detection) on replenishment timing records containing lead days and received units fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Replenishment timing — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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
Three independent analytical reports returned together: (1) a record quality audit flagging malformed, missing, or out-of-range values in lead_days and received_units; (2) a string normalisation report identifying and correcting inconsistencies in text fields like store_group; (3) a duplicate key report identifying rows with repeated identifiers or key combinations — all computed locally against the supplied data, no external lookups.
Example use cases
Pre-import replenishment data validation
“Before I load these replenishment timing records into our warehouse system, can you audit them for quality issues, normalise any inconsistent store_group strings, and flag any duplicate row IDs? I have about 150 rows with lead_days and received_units values.”
Duplicate store group key detection
“I suspect our replenishment dataset has duplicate entries — can you run a duplicate key report on these rows covering store groups and dates, and also give me the record quality audit and string normalisation report at the same time?”
Lead days data cleansing for retail planning
“We're preparing our replenishment lead time data for a retail planning review — can you check the data quality, clean up any string inconsistencies in the store_group field, and identify any duplicate records across these 80 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-12-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data quality operations (audit, string normalisation, duplicate detection) on replenishment timing data in a single low-cost call. It is ideal for pre-import validation of supply chain datasets up to 200 rows where no live data lookup or external enrichment is needed. It is not suitable for real-time inventory predictions, forecasting, or datasets exceeding 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, store_group, date, lead_days, received_units) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside allowed range (-1000000000000 to 1000000000000) — schema rejection
- Empty rows array (minItems: 1 not met) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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