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Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary
x402
Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + 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 three analytical reports on up to 200 rows of competitor price data: a record quality audit, exact row deduplication check, and grouped numeric summary across list_price and package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied competitor supplied prices records (list_price, package_quantity). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports: (1) a record quality audit flagging malformed, missing, or out-of-range values across the supplied rows; (2) an exact row deduplication report identifying identical rows; (3) a grouped numeric summary (count, min, max, mean, etc.) of the selected numeric field (list_price or package_quantity) segmented by company_group. All reports are computed locally with no external lookups.
Example use cases
Cleaning scraped competitor price feed
“I just scraped 150 rows of competitor pricing data with columns row_id, company_group, date, list_price, and package_quantity — can you run a full quality audit, flag any exact duplicate rows, and give me a grouped numeric summary of list_price by company group so I know what I'm working with before I load it into our database?”
Validating imported wholesale price sheet
“We imported a competitor's wholesale price sheet with about 80 records — please audit it for record quality problems, deduplicate any identical rows, and summarize the package_quantity values grouped by company group so our procurement team can review.”
Comparing multi-group competitor pricing
“I have competitor price data across three company groups — group-a, group-b, and group-c — spanning about 120 rows with list prices and package quantities. Run the three reports: quality audit, exact duplicate check, and a grouped numeric summary on list_price, so I can see which groups have anomalies or missing data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-211?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor pricing records and need all three analytical reports (quality audit, deduplication, and grouped summary) in a single cheap call. It is ideal for pre-ingestion validation of competitor price feeds, identifying dirty or duplicate data, and getting fast descriptive statistics grouped by company — without needing live market data, predictions, or external integrations.
Side effects
- Empty rows array or missing required fields (row_id, company_group, date, list_price, package_quantity) causes validation error
- Exceeding 200 rows returns an error or truncation
- Malformed date strings not matching YYYY-MM-DD pattern flagged or rejected
- Payment of 0.01 USDC not processed results in 402 response
- 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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