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Promotion Observations — String Normalisation + Secondary-Measure Weighted Mean
x402
Promotion Observations — String Normalisation + Secondary-Measure Weighted Mean 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).
Runs string normalisation and secondary-measure weighted mean analysis on up to 200 promotion observation rows covering discount_amount and units_sold fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Promotion observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 independent analytical reports: (1) string-normalised versions of the store_group and other text fields in the supplied promotion rows, and (2) a secondary-measure weighted mean computed over the selected numeric field (discount_amount or units_sold) across the supplied rows. Up to 200 rows are processed per call.
Example use cases
Retail promotion discount analysis
“I have 150 rows of promotion data with store_group names that need cleaning and I want a weighted mean on the discount_amount field — can you normalize the strings and compute the secondary-measure weighted mean for me?”
Units sold weighted average across store groups
“Run string normalization and a secondary-measure weighted mean on my units_sold promotion observations — I've got about 80 rows with store groups like 'group-a' and 'group-b' and dates from last quarter.”
Standardizing promotion records before reporting
“Before I compile my promo report, can you normalize the store_group strings and calculate the weighted mean for discount_amount across my 60 promotion observation rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-05-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalization and secondary-measure weighted mean in a single paid call on promotion observation data (discount_amount, units_sold) for up to 200 rows, without needing live data lookups, predictions, or external integrations. It is cost-efficient at $0.01 USDC for two bundled reports.
Side effects
- More than 200 rows submitted — request will be rejected with a row-limit error
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Missing required fields (row_id, store_group, date, discount_amount, units_sold) triggers schema error
- Numeric values outside the allowed range (±1,000,000,000,000) cause rejection
- Invalid field selector (not 'discount_amount' or 'units_sold') causes enum validation failure
- Payment not provided or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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