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Replenishment Timing — Duplicate Key Report + Numeric Interval Filter
x402
Replenishment Timing — Duplicate Key Report + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Analyzes up to 200 replenishment timing records to produce a duplicate key report and a numeric interval filter on lead_days or received_units fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Replenishment timing — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter 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 independent analytical reports: (1) a duplicate key report identifying which row_ids appear more than once in the supplied dataset, and (2) a numeric interval filter report listing which records have the specified numeric field (lead_days or received_units) falling within the supplied minimum and maximum bounds. Both reports are computed locally against the submitted rows with no external data lookup.
Example use cases
Duplicate ID check before warehouse upload
“Before I upload these 50 replenishment timing records to our warehouse system, can you run a duplicate key report on them to flag any repeated row IDs? The rows have store_group, date, lead_days, and received_units fields.”
Filter lead time records within acceptable range
“I need to filter my replenishment timing records to only show entries where lead_days falls between 7 and 60 — can you run that interval filter on my dataset of about 120 rows and also tell me if any row IDs are duplicated?”
Data quality audit for received units
“Can you audit my replenishment dataset for data quality? I want a duplicate key report on the row IDs plus a numeric interval filter on received_units to find records between 50 and 500 units — I have about 80 rows to check.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-12-059?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous duplicate-key detection and numeric range filtering on replenishment timing records (lead_days or received_units) in a single $0.01 call. It is ideal for data quality checks before ETL pipeline uploads, inventory audits, or validating supply chain datasets up to 200 rows. It does not perform live lookups, predictions, or external integrations — prefer it for local, offline-style analytical reporting on data you already have.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, store_group, date, lead_days, received_units) causes rejection
- Date strings not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside ±1,000,000,000,000 bounds are rejected
- Empty rows array is not accepted (minItems: 1)
- minimum greater than maximum may return empty interval filter results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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