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Competitor Supplied Prices — Numeric Interval Filter + Two-Measure Correlation
x402
Competitor Supplied Prices — Numeric Interval Filter + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Filters competitor price records by a numeric interval and computes correlation between list_price and package_quantity, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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
Returns two independent analytical reports: one covering the interval-filtered subset of the supplied competitor pricing rows (filtered by a min/max range on the chosen numeric field), and one computing the Pearson or equivalent correlation between list_price and package_quantity across the filtered dataset. No external data is fetched; all computation is performed locally on the submitted rows.
Example use cases
Competitor pricing correlation by segment
“I have 150 rows of competitor pricing data with list prices and package quantities across two company groups from last quarter — filter for list_price between 20 and 300 and tell me how correlated list_price and package_quantity are across those filtered records.”
Detect price-quantity relationship in supplier data
“Run a correlation analysis on this supplied dataset of competitor prices — filter by package_quantity between 1 and 50, and give me two reports showing the relationship between list_price and package_quantity.”
Benchmark competitor price range analytics
“I've collected 80 rows of competitor list prices and package quantities for group-a and group-b — filter to rows where list_price falls between 0 and 100, then compute the two-measure correlation report between list_price and package_quantity.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-131?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of competitor pricing data already in hand and need both a numeric interval filter and a two-measure statistical correlation between list_price and package_quantity in a single low-cost call. Prefer it over general analytics pipelines when you want local, offline computation with no external lookups, and when you specifically need the paired interval-filter + correlation output format at $0.01 per call.
Side effects
- Empty rows array or missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation errors
- Exceeding 200 rows returns an error or truncation
- minimum greater than maximum produces empty filter results or an error
- Non-date-formatted date strings fail schema pattern validation
- Null values in both measure columns may cause correlation to be undefined or NaN
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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