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Competitor Supplied Prices — Record Quality Audit + Numeric Interval Filter
x402
Competitor Supplied Prices — Record Quality Audit + Numeric Interval Filter 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).
Runs two local analytical reports on up to 200 competitor pricing records: a record quality audit and a numeric interval filter for list_price or package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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
Two analytical reports: (1) a record quality audit identifying missing values, malformed fields, and data completeness issues across the submitted competitor pricing rows; and (2) a numeric interval filter report listing which rows fall inside or outside the specified min/max bounds for the selected field (list_price or package_quantity). Both reports are generated locally with no external lookups. Up to 200 rows processed per call.
Example use cases
Pricing dataset completeness check
“I have 120 competitor pricing records with row IDs, company groups, dates, list prices, and package quantities — can you audit their quality and flag any missing or malformed fields?”
Out-of-range price detection
“Run an interval filter on these competitor price rows and flag any records where list_price falls outside the range 10 to 250 — I want to know which rows are outliers.”
Package quantity range validation
“Can you check these 80 competitor pricing records and filter the package_quantity field to find anything that isn't between 1 and 100? I need both a quality audit and the interval filter results.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor pricing records and need both a data quality audit and a numeric range filter in a single call. It is ideal for pre-processing or cleaning competitor price feeds before downstream analysis. Prefer it over generic validation tools when your data specifically includes list_price, package_quantity, company_group, and date fields in the expected schema.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, date, list_price, package_quantity, company_group) on any row causes validation error
- Date format not matching YYYY-MM-DD pattern causes schema rejection
- minimum greater than maximum may yield empty interval filter results
- Null numeric values in the filtered field are treated as missing and flagged in quality audit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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