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Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Base-100 Series
x402
Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Base-100 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 competitor price data: a record quality audit, exact row deduplication, and a base-100 index series for list_price or package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 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 identifying missing, null, or malformed values in list_price and package_quantity fields; (2) an exact row deduplication report flagging identical rows; (3) a base-100 index series for the selected numeric field (list_price or package_quantity) anchored to the specified base row. All computed locally with no external lookups.
Example use cases
Pricing data quality review
“I have 80 rows of competitor pricing data with company group, date, list price, and package quantity. Can you audit the record quality, flag any exact duplicate rows, and give me a base-100 series on list_price starting from index 0?”
Deduplication before price analysis
“Before I merge this competitor price list into our database, can you check for exact duplicate rows and run a quality audit on it? I have about 150 rows with fields like row_id, company_group, date, list_price, and package_quantity.”
Indexed package quantity trend
“Take these 60 competitor pricing records and build a base-100 index series for package_quantity using row 0 as the base, and also give me the quality audit and dedup report at the same time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of competitor pricing data (list_price, package_quantity) and need all three of: a data quality audit, exact duplicate detection, and a base-100 normalized index series in a single $0.01 call. Prefer this over individual report endpoints when you want bundled analytical value. Not suitable for live price lookups, predictions, or external data enrichment.
Side effects
- More than 200 rows submitted — exceeds the maxItems limit
- base_index out of range (0–199) relative to the number of rows provided
- row_id missing or empty string — violates minLength constraint
- date field does not match YYYY-MM-DD pattern — schema validation error
- list_price or package_quantity outside allowed numeric range (-1T to 1T)
- Empty rows array — minItems:1 not met
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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