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Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series
x402
Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + 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 three local analytical reports on up to 200 rows of competitor price data: a record quality audit, exact row deduplication, and a trailing mean series for list_price or package_quantity.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean 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
Returns three independent reports: (1) a record quality audit flagging malformed, null, or out-of-range values; (2) an exact row deduplication report identifying and removing duplicate records; and (3) a trailing mean series for the selected numeric field (list_price or package_quantity) computed with the specified window size. All processing is local with no external lookups.
Example use cases
Competitor price data cleanup before analysis
“I've scraped 120 rows of competitor pricing data with columns row_id, company_group, date, list_price, and package_quantity — can you run a quality audit, strip out any exact duplicate rows, and give me a trailing mean series for list_price using a window of 5?”
Rolling average for package quantity trends
“Take these 80 competitor price records and calculate a trailing mean series for package_quantity with a window of 4, plus flag any record quality problems and duplicates in the dataset.”
Data validation before pricing model ingestion
“Before I feed this competitor pricing dataset into my model, can you audit record quality, deduplicate exact matches, and compute a 7-period trailing mean on list_price? There are about 150 rows with the standard company_group and date fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three complementary data quality and statistical reports on a batch of competitor pricing records in a single call at minimal cost. It is ideal for preprocessing raw competitive price data before analysis or ingestion into a pricing model, especially when you need deduplication, quality flagging, and a rolling average in one shot without any external data lookups or predictions.
Side effects
- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — rejected
- Window size outside 2–200 range — rejected
- Field value not in enum [list_price, package_quantity] — rejected
- Payment not provided or insufficient — 402 error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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