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Record Routing Analytics: Quality Audit + String Normalisation + Numeric Distribution
x402
Record Routing Analytics: Quality Audit + String Normalisation + Numeric Distribution 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 local analytical reports on record routing data — a record quality audit, string normalisation, and numeric distribution 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 + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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 covering: (1) a record quality audit flagging data issues, (2) string normalisation results for text fields like dataset_group, and (3) a numeric distribution summary for the selected numeric field (accepted_records or rejected_records). All computed locally with no external lookups, for up to 200 input rows.
Example use cases
Data pipeline quality check
“I've got a batch of record routing rows from last month with accepted_records and rejected_records counts per dataset group — can you run all three reports (quality audit, string normalisation, numeric distribution) on up to 200 of them so I can see if there are quality issues?”
Accepted record distribution review
“Can you analyse the numeric distribution of accepted_records across my routing groups for dates in October 2026? I have about 50 rows across group-a and group-b and want to understand the spread.”
Rejected record string normalisation
“I need to run string normalisation and a quality audit on my rejected_records routing data — there are around 30 rows with dataset groups and dates, and I suspect some inconsistent formatting that's causing downstream issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical reporting on record routing datasets (up to 200 rows) covering quality auditing, string normalisation, and numeric distribution in a single $0.01 call. Ideal for data pipeline validation, pre-processing checks, and batch quality reviews where no external lookup or prediction is needed.
Side effects
- Missing required fields (row_id, date, accepted_records, rejected_records) returns validation error
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Exceeding 200 rows causes request rejection
- Null numeric values may affect distribution report completeness
- Invalid field enum value (not 'accepted_records' or 'rejected_records') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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