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Competitor Supplied Prices — Record Quality Audit + String Normalisation + Exact Row Deduplication
x402
Competitor Supplied Prices — Record Quality Audit + String Normalisation + Exact Row Deduplication 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 record quality, normalises strings, and deduplicates exact rows for competitor supplied price data (list_price, package_quantity) across up to 200 rows, producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 covering: (1) a record quality audit flagging missing, malformed, or out-of-range values in list_price and package_quantity fields; (2) a string normalisation report detailing transformations applied to text fields such as company_group; and (3) an exact row deduplication report identifying and removing fully duplicate rows across the submitted dataset of up to 200 rows.
Example use cases
Pre-analysis competitor price data cleaning
“I've got a batch of competitor pricing records with list_price and package_quantity fields — about 120 rows — and before I do any analysis I want to audit them for quality issues, normalise the string fields, and remove any exact duplicate rows. Can you run those three checks for me?”
Validating scraped pricing before import
“We scraped competitor prices from three suppliers and have around 80 rows with company_group, date, list_price, and package_quantity. Please run a full record quality audit, string normalisation, and exact deduplication check on this data so we know what's clean enough to import.”
Routine data hygiene on monthly pricing feed
“Every month we get a competitor price feed with up to 150 rows covering list_price and package_quantity by company group. Run the record quality audit, string normalisation, and exact row deduplication on this month's batch and give me all three reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of competitor supplied pricing data (with list_price and package_quantity) and need all three of record quality auditing, string normalisation, and exact row deduplication in a single low-cost call. It is ideal for pre-processing competitor price feeds before downstream analysis, and when no live external lookup, prediction, or human assessment is needed — purely local analytical processing on supplied data.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Empty array input (minItems:1 not met) returns an input validation error
- Numeric values outside allowed range cause field-level errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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