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Competitor Supplied Prices — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Competitor Supplied Prices — Record Quality Audit + String Normalisation + Daily Sum Series 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).
Audits data quality, normalises strings, and computes daily sum series for up to 200 rows of competitor price records (list_price, package_quantity) using three local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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
Three independent analytical reports: (1) a record quality audit flagging completeness and validity issues per row, (2) a string normalisation report cleaning company_group and other text fields, and (3) a daily sum series aggregating the selected numeric field (list_price or package_quantity) by date — all computed locally without external lookups.
Example use cases
Competitor pricing data quality check
“I've got a batch of competitor price rows with list_price and company_group fields — can you audit the record quality, normalise the strings, and show me the daily sum series for list_price across all these rows?”
Daily package quantity rollup for rival brands
“Here are 150 rows of competitor supplied prices with dates, company groups, and package quantities. Please run the three analytical reports — quality audit, string normalisation, and daily sum series — and focus the sum series on package_quantity.”
Cleaning messy competitor pricing exports
“I exported competitor pricing data from our system and the strings look inconsistent. Can you do a record quality audit, normalise the company_group strings, and also give me the daily sum totals for list_price across these records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor pricing rows and need three combined analytical outputs — data quality audit, string normalisation, and daily sum aggregation — in a single low-cost call ($0.01 USDC). It is purpose-built for competitor supplied price data with list_price and package_quantity fields and performs all analysis locally without any external lookups or predictions.
Side effects
- More than 200 rows submitted — payload exceeds maxItems limit and is rejected
- Missing required fields (row_id, company_group, date, list_price, package_quantity) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric fields outside ±1,000,000,000,000 range rejected
- Invalid field selector enum value (not list_price or package_quantity) causes error
- Empty rows array (minItems:1 not met) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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