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Competitor Supplied Prices — Grouped Numeric Summary + Two-Measure Correlation
x402
Competitor Supplied Prices — Grouped Numeric Summary + 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 2026-10-15).
Computes grouped numeric summary statistics and a two-measure correlation report for supplied competitor price data (list_price, package_quantity) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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 analytical reports: (1) a grouped numeric summary showing descriptive statistics (e.g. mean, min, max, std dev) for the target field broken down by company_group, and (2) a correlation analysis between list_price and package_quantity across the supplied rows. Both reports are computed locally from the provided data with no external lookups.
Example use cases
Competitor pricing spread by vendor
“I've got a table of competitor pricing rows with company_group, date, list_price, and package_quantity — can you group them by company and summarize the list_price statistics, then show me how list_price and package_quantity correlate across all of them?”
Bulk price-quantity relationship analysis
“Here are 150 rows of competitor supplied prices across two vendor groups. Run a grouped numeric summary on list_price and also compute the correlation between list_price and package_quantity so I can see if higher quantities come with lower prices.”
Periodic competitor pricing audit
“I'm reviewing competitor prices recorded over the past quarter. Can you give me a grouped numeric breakdown of list_price by company_group and tell me whether package_quantity and list_price are correlated in this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-095?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected competitor pricing data (list_price and package_quantity) organized by company group and date, and need both a grouped summary and a two-measure correlation in a single low-cost API call. Ideal for batch offline analysis of up to 200 rows where no live data fetch, prediction, or external enrichment is needed. Prefer this over general-purpose analytics tools when you want a deterministic, schema-validated statistical report at minimal cost ($0.01 USDC for two reports).
Side effects
- Empty or missing rows array returns an error or empty result
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in list_price or package_quantity may reduce correlation validity
- Missing required fields (row_id, company_group) cause row-level validation failure
- Non-numeric values passed to numeric fields trigger schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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