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Promotion Observations — Quality Audit + Deduplication + Equal-Width Histogram
x402
Promotion Observations — Quality Audit + Deduplication + 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 2026-10-25).
Runs three local analytical reports on promotion observation data (discount_amount, units_sold): a record quality audit, exact row deduplication, and an equal-width histogram.
Price / call$0.01
Success—
StatusUnknown
How this service works
Promotion observations — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied promotion observations records (discount_amount, units_sold). 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: (1) a record quality audit flagging missing, null, or out-of-range values in discount_amount and units_sold; (2) an exact row deduplication report identifying identical rows; and (3) an equal-width histogram of the selected numeric field (discount_amount or units_sold) with up to 30 configurable bins showing frequency distribution across equal-width intervals.
Example use cases
Pre-analysis promotion data quality check
“Before I run my promo analysis, audit the quality of these 150 promotion observation rows and flag any issues with the discount_amount and units_sold fields, deduplicate any exact duplicates, and give me a 5-bin histogram of discount_amount.”
Detecting duplicates in retail promotion data
“I think some of our promotion records got loaded twice — can you run an exact row deduplication check on these 80 promotion rows and also give me a quality audit so I know what shape the data is in?”
Distribution summary of units sold
“Give me an equal-width histogram with 10 bins for the units_sold field across my promotion dataset — also run the quality audit and deduplication report while you're at it. Here are the 120 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-05-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 retail promotion observation records and need three foundational data profiling operations in a single cheap call: quality auditing, deduplication, and numeric distribution analysis. It is ideal for pre-processing or QA steps before deeper modeling or reporting, and is cost-effective at $0.01 USDC for all three reports. Prefer it over building custom local scripts when operating inside an agent pipeline that needs structured, standardized profiling output.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Missing required fields (row_id, store_group, date, discount_amount, units_sold) causes row rejection
- bins value outside 1–30 range returns validation error
- Empty rows array returns error
- Payment failure results in 402 response with no data processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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