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Competitor Supplied Prices — Record Quality Audit + String Normalisation + Keyed Dataset Comparison
x402
Competitor Supplied Prices — Record Quality Audit + String Normalisation + Keyed Dataset Comparison 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 analytical reports (record quality audit, string normalisation, and keyed dataset comparison) on up to 200 rows of competitor supplied price data (list_price, package_quantity) with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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 malformed, null, or out-of-range values in list_price and package_quantity fields; (2) a string normalisation report identifying and correcting inconsistencies in text fields like company_group; and (3) a keyed dataset comparison report showing differences between the two supplied row arrays matched by row_id. All processing is performed locally with no external lookups.
Example use cases
Pre-import competitor price validation
“Before I load this competitor pricing CSV into our database, can you audit the quality of these 150 rows of list_price and package_quantity records across group-a and group-b, normalise any messy strings, and flag any issues?”
Side-by-side competitor price comparison
“I've got two versions of competitor pricing data — last week's and this week's — both about 80 rows with row_id, date, list_price, and package_quantity. Can you run a keyed comparison between the two datasets and tell me what changed?”
Competitor pricing data quality report
“Our data team just received a supplier file with 200 rows of competitor list prices and package quantities. Can you run all three reports — record quality audit, string normalisation, and dataset comparison — so we can see where the data is dirty before we use it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-207?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected competitor pricing data (list_price, package_quantity) and need fast, local analytical checks — quality auditing, string normalisation, and keyed comparison — without sending data to external systems or making live lookups. It is ideal for pre-ingestion data validation pipelines, data reconciliation between two snapshots, and lightweight QA on small-to-medium batches (up to 200 rows). At $0.01 USDC for three reports, it is cost-effective for routine data hygiene tasks on competitor pricing feeds.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array (minItems: 1 not met) — rejection
- Payment not processed — HTTP 402 response blocking access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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