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Competitor Supplied Prices — Record Quality Audit + Trailing Mean Series
x402
Competitor Supplied Prices — Record Quality Audit + Trailing Mean 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).
Runs a record quality audit and a trailing mean time series report on up to 200 rows of competitor price data (list_price or package_quantity), returning two analytical reports from local engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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 independent analytical reports: (1) a record quality audit flagging data issues in the supplied competitor price rows, and (2) a trailing mean time series computed over the specified field (list_price or package_quantity) with the given rolling window — all computed locally, with no external data lookups or predictions.
Example use cases
Competitor pricing data quality check
“I have 120 rows of competitor list prices collected over the past three months — can you audit them for record quality issues and also compute a trailing mean with a window of 5 on the list_price field? The rows have row_id, company_group, and date.”
Rolling average for package quantity trends
“Run a trailing mean series with a window of 10 on package_quantity across my 80 competitor records, and also give me a quality audit of those records — they span October 2025 through January 2026 across two company groups.”
Pre-analysis data validation for pricing model
“Before I feed this competitor pricing dataset into my model, can you do a record quality audit and a trailing mean report on the list_price field with a window of 4? I've got 200 rows covering groups alpha, beta, and gamma from 2025-01-01 to 2025-06-30.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a trailing mean series on competitor price data in a single call for up to 200 rows, and you want local analytical computation with no external lookups, predictions, or side effects. It is ideal for pre-modeling data validation workflows or periodic competitive pricing data hygiene checks where two reports are needed efficiently at minimal cost.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row
- date field not matching YYYY-MM-DD format — pattern validation failure
- window value outside 2–200 range — parameter error
- field value not one of 'list_price' or 'package_quantity' — enum validation error
- Numeric values outside the allowed range (±1,000,000,000,000) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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