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Record Routing Analytics: Quality Audit + String Normalisation + Two-Measure Correlation
x402
Record Routing Analytics: Quality Audit + String Normalisation + Two-Measure Correlation 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 — a quality audit, string normalisation, and two-measure correlation — for up to 200 rows of accepted/rejected record counts per dataset group and date.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 analytical reports generated locally from the supplied rows: (1) a record quality audit flagging data issues in the accepted/rejected record fields, (2) a string normalisation report for the dataset_group and other string fields, and (3) a two-measure correlation report quantifying the relationship between accepted_records and rejected_records across the submitted rows. No external lookups or predictions are made.
Example use cases
ETL pipeline acceptance rate audit
“I want to audit the quality of my ETL pipeline's record routing output — here are 5 rows from last week across two dataset groups with their accepted and rejected record counts. Can you run the quality audit, string normalisation, and two-measure correlation reports on them?”
Detecting string inconsistencies in dataset groups
“My dataset group labels might have capitalisation or spacing inconsistencies across these 12 routing records. Can you run the string normalisation and quality audit reports so I can spot any naming problems? Here's the data with accepted and rejected counts per date.”
Correlation between accepted and rejected volumes
“I've got 50 rows of daily record routing stats — dataset group, date, accepted records, and rejected records — and I want to know if there's a meaningful correlation between the two. Can you run the two-measure correlation and quality audit reports on this batch?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, self-contained, offline-style analytical pass on a small batch (up to 200 rows) of record routing data — specifically when you want all three of quality auditing, string normalisation, and two-measure correlation in a single cheap call ($0.01 USDC). It is not suitable for real-time monitoring, large datasets over 200 rows, external data enrichment, or predictive modelling.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) causes row rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Null values in accepted_records or rejected_records may reduce correlation report utility
- Empty rows array is rejected by minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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