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Competitor Supplied Prices — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Competitor Supplied Prices — Two-Measure Correlation + 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 2026-10-19).
Computes a two-measure correlation and a secondary-measure weighted mean for up to 200 rows of competitor price data (list_price and package_quantity), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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 analytical reports: (1) a two-measure Pearson or equivalent correlation between list_price and package_quantity across the supplied rows, and (2) a weighted mean of the secondary measure (list_price or package_quantity as specified), all computed locally on the supplied data with no external lookups.
Example use cases
Pricing strategy correlation analysis
“I've got 150 rows of competitor pricing records with list prices and package quantities across three company groups from Q3. Can you calculate the correlation between list_price and package_quantity and also give me a weighted mean on the package_quantity field?”
Retail competitor benchmarking
“Here's a dataset of 80 competitor price entries — each has a date, company group, list price, and package quantity. Run the two-measure correlation and a secondary weighted mean on list_price so I can benchmark how price and quantity are moving together.”
Market pricing pattern detection
“I'm analyzing competitor supplied prices — 200 rows covering two supplier groups over the past year. Give me a correlation report for list_price and package_quantity, plus a weighted mean on package_quantity, so I can spot pricing patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured competitor pricing records with list prices and package quantities and need both a pairwise correlation and a weighted mean in a single API call. It is ideal for offline/batch analytical pipelines where no live data lookup, prediction, or external enrichment is needed and cost efficiency matters (two reports for $0.01 USDC per call). Prefer it over general statistical platforms when you want a purpose-built, schema-validated analytical engine for competitor pricing data specifically.
Side effects
- Missing required row fields (row_id, date, company_group) cause validation errors
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both list_price and package_quantity may produce undefined correlation
- Fewer than 2 rows may yield insufficient data for correlation computation
- Invalid field enum value (not list_price or package_quantity) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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