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Promotion Observations — Exact Row Deduplication + Numeric Row Ordering
x402
Promotion Observations — Exact Row Deduplication + Numeric Row Ordering 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).
Deduplicates exact rows and numerically orders records from promotion observation data (discount_amount, units_sold) across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Promotion observations — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied promotion observations records (discount_amount, units_sold). 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 covering exact row deduplication (identifying and removing fully duplicate rows) and numeric row ordering applied to the supplied promotion observation records (discount_amount and units_sold fields), based entirely on the provided dataset with no external lookups.
Example use cases
Retail promotion data cleanup
“I have a dataset of 120 promotion observations from multiple store groups with date, discount_amount, and units_sold columns — can you remove any exact duplicate rows and give me back the records in numeric order, along with two summary reports?”
Duplicate discount record audit
“We ran several promotions across store groups last quarter and suspect our export has duplicate entries. Can you deduplicate all exact-match rows from this discount_amount and units_sold dataset and return the clean, numerically ordered version?”
Units sold ordering for promotion analysis
“I need to sort and deduplicate about 80 rows of units_sold and discount_amount promotion data by store group before presenting it — can you run both analytical reports and give me back deduplicated rows in numeric order?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-05-042?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw promotion observation tabular data (with discount_amount and units_sold) that needs exact duplicate row removal and numeric ordering without any live data lookup, external prediction, or professional assessment — and you want two compact analytical reports for up to 200 rows at minimal cost ($0.01 USDC).
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, store_group, date, discount_amount, units_sold) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Empty rows array — minimum 1 item required
- Numeric values out of allowed range (±1,000,000,000,000) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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