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Record Routing Analytics: Quality Audit + String Normalisation + Date Pivot
x402
Record Routing Analytics: Quality Audit + String Normalisation + Date Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three bundled analytical reports on record routing data — quality audit, string normalisation, and date-by-category pivot — for up to 200 rows of accepted/rejected record counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied record routing records (accepted_records, rejected_records). 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 delivered together: (1) a record quality audit flagging issues in the supplied routing data, (2) string normalisation output for text fields, and (3) a pivot table of accepted or rejected record counts grouped by date and category. All computed locally from the supplied rows with no external lookups.
Example use cases
ETL pipeline quality check
“I've got a batch of record routing logs with accepted and rejected counts per dataset group — can you audit the quality, normalise the group name strings, and pivot the accepted_records by date and category so I can see where things went wrong?”
Rejected records trend analysis
“Run a date-by-category pivot on my routing data focusing on rejected_records — I have about 150 rows across groups like 'group-a' through 'group-d' spanning the last month, and I want to see the rejection trend by group over time.”
Data normalisation for downstream reporting
“My record routing dataset has inconsistent string formatting in the dataset_group field and I need it normalised before reporting — can you also include a quality audit and a date pivot for accepted_records so I get all three reports in one go?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and date pivot — on record routing data in a single $0.01 call. It is ideal for ETL validation workflows, data pipeline monitoring, and pre-reporting data hygiene checks where you have up to 200 rows of accepted/rejected routing records and want all three reports without making separate API calls.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field per row
- accepted_records or rejected_records outside numeric bounds (-1e12 to 1e12)
- Invalid field enum value — must be 'accepted_records' or 'rejected_records'
- Payment not included or insufficient — endpoint costs $0.01 USDC per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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