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Competitor Supplied Prices — Record Quality Audit + Grouped Numeric Summary
x402
Competitor Supplied Prices — Record Quality Audit + Grouped Numeric Summary 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 competitor pricing data: a record quality audit and a grouped numeric summary for list_price or package_quantity fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 record quality audit identifying missing values, invalid entries, and data completeness issues per row; and (2) a grouped numeric summary showing aggregate statistics (e.g. count, mean, min, max) for the selected field (list_price or package_quantity) segmented by company_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Spot data gaps before pricing analysis
“I've collected competitor pricing data from several vendors — can you run a record quality audit on these 80 rows and flag any missing or invalid list_price values before I start my analysis?”
Compare package quantities across competitor groups
“I want a grouped numeric summary of package_quantity across my competitor groups — I have 120 rows with company_group, date, and package_quantity. Can you break it down by group so I can see the spread?”
Validate pricing dataset before board report
“We're presenting competitor benchmark prices next week — can you audit these 150 pricing records for quality issues and also give me a grouped summary of list_price by company_group so I can sanity-check the numbers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw competitor pricing data (list_price, package_quantity) organized by company group and date, and you need both a data quality check and group-level numeric summary in a single low-cost call. It is ideal for pre-analysis validation workflows where you want to catch data issues and understand group distributions before downstream processing. Prefer this over manual inspection or general analytics tools when working with structured tabular datasets of up to 200 rows and needing two bundled reports at minimal cost.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Field selector not in enum ['list_price','package_quantity'] returns an error
- Empty rows array is rejected by minItems constraint
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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