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Competitor Supplied Prices — Record Quality Audit + String Normalisation + Duplicate Key Report
x402
Competitor Supplied Prices — Record Quality Audit + String Normalisation + Duplicate Key Report 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, string normalisation, and a duplicate key report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 returned together: (1) a record quality audit flagging nulls, out-of-range values, and format errors across the supplied rows; (2) a string normalisation report showing standardised versions of text fields such as company_group; (3) a duplicate key report identifying rows with repeated key combinations across the dataset. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Pre-analysis competitor price data cleanup
“I've collected 150 rows of competitor list prices with company names and package quantities — can you audit their quality, normalise the string fields, and flag any duplicate row IDs before I start my analysis?”
Spotting dirty data in a price feed
“We just received a supplier's competitor price file with 80 entries. Can you check it for record quality issues, clean up any inconsistent company group strings, and tell me if there are any duplicate keys in the list_price and package_quantity columns?”
Validating pricing data before a board report
“Before I present our competitor pricing summary, can you run quality audit, string normalisation, and duplicate key checks on these 200 rows so I can confirm the data is clean and trustworthy?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor price records (with list_price and package_quantity fields) and need three distinct data-quality reports in a single call — quality audit, string normalisation, and duplicate key detection — without requiring any external data lookup, prediction, or live market data. It is ideal for pre-processing competitor pricing datasets before downstream analytics or reporting.
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) on any row — schema rejection
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- row_id exceeds 80 characters — field length violation
- Numeric fields outside allowed range (±1,000,000,000,000) — range validation failure
- Payment not completed via x402 — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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