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Price Basket Observations — String Normalisation + Daily Sum Series
x402
Price Basket Observations — String Normalisation + Daily Sum Series 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).
Performs string normalisation and daily sum series analysis on up to 200 price basket observation records containing item_price and quantity_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Price basket observations — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied price basket observations records (item_price, quantity_weight). 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 computed locally on the supplied rows: (1) a string normalisation report over the selected field values, and (2) a daily sum series aggregating the chosen numeric field (item_price or quantity_weight) by date across all supplied rows. No external data is fetched or predicted.
Example use cases
Daily price totals by region
“I've got 150 rows of basket observations with dates, regions, item prices and quantity weights — can you normalise the strings and give me a daily sum series on item_price so I can see how total prices add up each day?”
Quantity weight aggregation check
“Here are 80 price basket records across several regions and dates — run string normalisation and a daily sum series on quantity_weight so I can audit the daily totals before submitting my report.”
Small basket economics summary
“I have 10 rows of price basket observations from two regions over a week — please run the two analytical reports on item_price: string normalisation and the daily sum series.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-07-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 price basket observation rows with item_price and quantity_weight fields and need both string normalisation and a daily sum series computed together in a single low-cost ($0.01) call using local analytical engines — no live data lookup or external API calls are involved, making it suitable for offline batch analytics on pre-collected basket data.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with max items error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field value not one of the allowed enum values (item_price or quantity_weight) — enum validation error
- Null numeric values in item_price or quantity_weight — may be handled as zero or skipped depending on implementation
- row_id missing or empty string — minLength validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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