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Record Routing Analytics: Quality Audit, String Normalisation & Category Frequencies
x402
Record Routing Analytics: Quality Audit, String Normalisation & Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs three bundled analytical reports on record routing data — quality audit, string normalisation, and category frequency analysis — 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 + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 bundled analytical reports: (1) a record quality audit highlighting issues in the accepted/rejected record data, (2) normalised string representations of text fields like dataset_group, and (3) category frequency counts showing how often each dataset group appears across the supplied rows.
Example use cases
Data pipeline rejection rate audit
“I have routing logs for October — group-a had 15 accepted and 3 rejected on 2026-10-03, and group-b had 30 accepted and 4 rejected on 2026-10-04. Can you run a quality audit and tell me which rows look problematic?”
Dataset group frequency breakdown
“Can you analyse these 5 routing records across group-a, group-b, and group-c and give me a frequency breakdown of how many records fall into each category? I also need the strings normalised.”
Monitoring routing pipeline data quality
“We just processed a batch of 50 routing records with varying accepted and rejected counts across several dataset groups — can you run the three analytics reports so I can spot any quality issues and see the category distribution?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-effective analytical pass over record routing data covering quality checks, string normalisation, and category frequencies in a single call. Ideal for data pipeline monitoring, batch QA checks on routing logs, and lightweight reporting where no external lookups or predictions are required — all analysis is performed locally on the supplied data.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1T to 1T) — validation error
- Empty rows array — minItems constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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