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Competitor Supplied Prices — Record Quality Audit + Duplicate Key Report
x402
Competitor Supplied Prices — Record Quality Audit + Duplicate Key Report 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 price records: a record quality audit and a duplicate key report, covering list_price and package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report 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 structured analytical reports: (1) a record quality audit highlighting data completeness issues, nulls, out-of-range values, or format problems in the supplied rows; and (2) a duplicate key report identifying rows with repeated combinations of key fields such as row_id, company_group, and date. Both reports are generated locally from the submitted data with no external lookups.
Example use cases
Competitor price feed data cleanse
“I just pulled 150 rows of competitor pricing from our data feed — each row has a row_id, company_group, date, list_price, and package_quantity. Can you audit the record quality and flag any duplicate keys so I know what to clean before loading it into our system?”
Weekly pricing data validation check
“Every Monday we receive a new batch of competitor price records. Run a quality audit and duplicate key check on these 80 rows — fields are row_id, company_group, date, list_price, and package_quantity — and tell me which records are problematic or duplicated.”
Multi-vendor price list deduplication
“We've merged competitor price lists from three vendors into one file of about 120 rows, each with row_id, company_group, date, list_price, and package_quantity. Please check the combined set for record quality issues and duplicate keys across all groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-003?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor pricing records with list_price and package_quantity fields and need both a data quality audit and duplicate key detection in a single low-cost call. It is ideal for pre-ingestion validation of competitor price feeds, post-merge deduplication checks, or routine data quality monitoring. It is not appropriate for live price lookups, predictions, or analysis requiring external data enrichment.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Empty rows array rejected due to minItems:1 constraint
- Payment not included or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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