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Competitor Supplied Prices — String Normalisation + Daily Sum Series
x402
Competitor Supplied Prices — 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 2026-10-19).
Runs two local analytical reports on supplied competitor pricing data: string normalisation of company/date fields and a daily sum series for list_price or package_quantity, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied competitor supplied prices records (list_price, package_quantity). 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 string normalisation report cleaning company_group and date field values across the supplied rows, and (2) a daily sum series aggregating the selected numeric field (list_price or package_quantity) by date — both computed locally on the supplied data, no external lookups.
Example use cases
Retail competitor price daily rollup
“I have 150 rows of competitor pricing data with company groups, dates, and list prices — can you clean up the strings and give me a daily sum series for list_price so I can see totals per day?”
Package quantity aggregation by date
“Here are my competitor supplied records with row IDs, company groups, dates, and package quantities. Run the string normalisation and daily sum series reports on package_quantity for me.”
Weekly competitor pricing audit prep
“I need to prep competitor pricing data for a report — I have about 80 rows with company groups and dates. Can you normalize the strings and compute a daily sum series on list_price to spot any unusual spikes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor pricing records and need both a string normalisation pass and a daily sum time series in a single low-cost call ($0.01 USDC). Prefer it over general analytics services when working offline with supplied data, no live lookup is needed, and you want two paired reports in one shot.
Side effects
- Exceeding 200 row limit returns an error
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation failure
- Invalid field selector (not list_price or package_quantity) returns error
- Numeric values outside ±1,000,000,000,000 boundary rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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