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Competitor Supplied Prices — Grouped Numeric Summary + Secondary-Measure Weighted Mean
x402
Competitor Supplied Prices — Grouped Numeric Summary + 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 2026-10-15).
Computes a grouped numeric summary and a secondary-measure weighted mean for user-supplied competitor price data (list_price, package_quantity) grouped by company, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + 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 reports: (1) a grouped numeric summary of the selected field (e.g. list_price) broken down by company_group, and (2) a secondary-measure weighted mean — both computed locally on the supplied rows with no external lookups. Results cover up to 200 input rows.
Example use cases
Competitor pricing landscape summary
“I've collected list prices and package quantities from four competitors over the past quarter. Can you group this data by company and give me a numeric summary plus a weighted mean of list_price for each group?”
Package quantity weighted average by vendor
“I have 80 rows of competitor data with company names, dates, list prices, and package quantities. Run a grouped numeric summary and a secondary-measure weighted mean on package_quantity grouped by company so I can see how quantities differ across vendors.”
Market price benchmarking by segment
“Here are 150 rows of competitor supplied prices segmented by company group, each with a date and list price. Give me both a grouped numeric summary and a weighted mean of list_price so I can benchmark where each competitor stands.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-096?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected competitor pricing data (list prices and package quantities) and need grouped statistical summaries and weighted means computed locally without any external API lookups, predictions, or live data — especially when you need two analytical reports in a single low-cost call for up to 200 rows.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, company_group, date, list_price, or package_quantity) — validation error
- Invalid date format (non-YYYY-MM-DD) — schema pattern mismatch
- field enum value not one of list_price or package_quantity — invalid enum error
- All numeric values null for a group — weighted mean may be undefined or return null
- Empty rows array — minItems:1 violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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