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Promotion Observations: Numeric Row Ordering + Keyed Dataset Comparison
x402
Promotion Observations: Numeric Row Ordering + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Ranks promotion observation rows numerically and compares two keyed promotion datasets across discount_amount and units_sold fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Promotion observations — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison 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
Two analytical reports: (1) a numerically ordered ranking of the supplied promotion observation rows by the selected field (discount_amount or units_sold), and (2) a keyed dataset comparison showing differences between the primary and secondary datasets matched by row_id. All computation is local with no external lookups or predictions.
Example use cases
Ranking promotions by discount size
“Here are 80 promotion observation rows with store_group, date, discount_amount, and units_sold — can you rank all of them numerically by discount_amount so I can see which promotions offered the biggest discounts?”
Before-and-after promotion dataset comparison
“I have two versions of my promotion data — one from before our campaign launched and one after — each with matching row_ids, store groups, dates, discount amounts, and units sold. Can you run a keyed comparison on them using units_sold as the field so I can see what changed?”
Multi-store group promotion performance audit
“Compare these two promotion datasets for my store groups — group-a and group-b — across October 2026. Both have matching row_ids and I want to see numeric row rankings plus a side-by-side comparison on discount_amount.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-05-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric ranking and a keyed side-by-side comparison of two promotion datasets in a single call at low cost ($0.01 USDC for two reports). It is best suited for retail promotion analysis involving discount_amount and units_sold across store groups, especially when you have two dataset snapshots to compare by a shared row_id key and want local, deterministic analysis without external dependencies.
Side effects
- Exceeding 200 rows in either dataset returns a validation error
- Missing required fields (row_id, store_group, date, discount_amount, units_sold) in any row causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers a pattern validation error
- Selecting a field value outside the enum ['discount_amount','units_sold'] returns an error
- Mismatched row_ids between primary and secondary datasets may produce incomplete comparison results
- Null numeric values may affect ranking or comparison output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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