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Bundle Sales — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Bundle Sales — Record Quality Audit + String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs three local analytical reports on bundle sales data: a record quality audit, string normalisation, and a grouped numeric summary — no external lookups or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Bundle sales — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied bundle sales records (bundles_sold, component_units). 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 missing, null, or out-of-range values per row; (2) a string normalisation report cleaning the store_group field; and (3) a grouped numeric summary aggregating the selected numeric field (bundles_sold or component_units) by store_group. All computed locally from supplied data, with no external data fetched.
Example use cases
Retail bundle data quality check
“I've got a table of 80 bundle sales rows with store_group, date, bundles_sold, and component_units. Can you audit the record quality, normalise the store group strings, and give me a grouped summary of bundles_sold across those groups?”
Component units grouped analysis
“Run a quality audit, string normalisation, and grouped numeric summary on my 120-row bundle sales dataset — I want the numeric reports focused on the component_units field, not bundles_sold.”
Pre-reporting data clean and summarise
“Before I hand off this bundle sales data to my manager, can you check it for quality issues, normalise any inconsistent store group names, and produce a grouped numeric summary? It's about 30 rows covering October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-15-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of bundle sales data and need all three of: a quality/completeness audit, string normalisation on categorical fields, and a grouped numeric summary — bundled into one $0.01 call. Prefer this over separate single-report endpoints when you need the combined output and want to minimise cost and round-trips. Not suitable when you need live data, predictions, external enrichment, or more than 200 rows.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, store_group, date, bundles_sold, component_units) — validation error
- Date field not matching YYYY-MM-DD pattern — schema error
- Empty rows array — minimum 1 item required
- Invalid field selector (not 'bundles_sold' or 'component_units') — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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