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Record Routing Analytics: Quality Audit + String Normalisation + Daily Sum Series
x402
Record Routing Analytics: Quality Audit + String Normalisation + Daily Sum Series 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 local analytical reports on record routing data — quality audit, string normalisation, and daily sum series — 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 + Daily sum series: Record quality audit + String normalisation + Daily sum series 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
Returns three independent analytical reports computed locally against the supplied rows: (1) a record quality audit flagging data issues in accepted_records or rejected_records, (2) a string normalisation report for text fields like dataset_group, and (3) a daily sum series aggregating the selected numeric field by date. No external data or predictions are included.
Example use cases
ETL pipeline quality review
“I've got a week's worth of record routing logs with accepted and rejected counts per dataset group — can you run a quality audit and daily sum series on the accepted_records field so I can see where things are going wrong?”
String normalisation for routing groups
“My routing dataset has inconsistent dataset_group labels across about 150 rows. Can you run the string normalisation report on it so I can see what needs cleaning up, along with the quality audit?”
Daily rejection trend analysis
“Run the daily sum series and quality audit on my record routing data for the rejected_records field — I want to see day-by-day totals and any quality issues across my 80 rows of data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and daily sum series — on record routing data with accepted/rejected counts, all for a single flat fee of $0.01 USDC per call. It is ideal for offline/local analysis of up to 200 rows without any need for live data lookups or external predictions. Not suitable if you need real-time data enrichment, forecasting, or more than 200 rows per call.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) cause schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (must be 'accepted_records' or 'rejected_records') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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