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Record Routing String Normalisation and Numeric Row Ordering
x402
Record Routing String Normalisation and Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Normalises string fields and applies numeric row ordering to accepted_records and rejected_records columns across up to 200 record routing rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied record routing records (accepted_records, rejected_records). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: one with normalised string representations of the supplied record routing rows, and one with rows ordered numerically by the selected field (accepted_records or rejected_records), covering up to 200 input rows processed entirely with local analytical engines.
Example use cases
Routing quality check for daily ETL batch
“Here are 6 rows from today's ETL run with row IDs, dataset groups, dates, and accepted and rejected record counts — normalise the string labels and give me both rows ordered by accepted_records so I can see which groups are performing best.”
Rejected records audit across routing groups
“I need to rank my routing dataset by rejected_records to spot which groups are failing most — I have 10 rows across group-a and group-b from October 2026, can you normalise the strings and order them numerically by rejected_records?”
Pre-reporting data cleanup for routing metrics
“Before I build my weekly routing report, can you clean up the string fields and sort these 15 record routing rows by accepted_records? I'll paste the row IDs, dates, groups, and accept/reject counts now.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline string normalisation and numeric ordering of record routing data (accepted/rejected record counts) without any external lookups, predictions, or live data access. Ideal for ETL data quality checks, pre-reporting cleanup, and ranking routing rows by volume metrics across up to 200 rows at very low cost.
Side effects
- Input array is empty or missing — requires at least 1 row
- More than 200 rows supplied — exceeds maximum batch size
- Date field does not match YYYY-MM-DD pattern — validation error
- accepted_records or rejected_records values outside allowed range (-1e12 to 1e12)
- field enum value not one of accepted_records or rejected_records
- Missing required fields row_id, dataset_group, date — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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