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Record Routing Quality Audit & Adjacent Row Changes
x402
Record Routing Quality Audit & Adjacent Row Changes 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).
Analyzes record routing data (accepted and rejected records) to produce a quality audit report and adjacent row change report for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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: (1) a record quality audit summarizing acceptance and rejection metrics for the supplied rows, and (2) an adjacent row changes report showing value differences between consecutive rows — both computed locally without any external lookups or predictions, covering up to 200 input rows.
Example use cases
ETL pipeline rejection rate audit
“Audit the quality of our ETL routing results for last week — I have 50 rows across dataset groups 'ingestion' and 'transform', with daily accepted and rejected record counts, and I want both a quality report and row-to-row change breakdown on the rejected_records field.”
Daily routing anomaly detection
“Check my record routing data for October for any unusual jumps between adjacent days — I have 30 rows split between group-a and group-b with accepted_records and rejected_records per day. Run the adjacent row changes report on accepted_records.”
Dataset group quality comparison
“Give me a quality audit comparing accepted vs rejected records across my two dataset groups 'north-region' and 'south-region' for Q3 2026 — I have 120 rows total and want the analysis focused on rejected_records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline-style analytical reports on record routing data — specifically a quality audit and adjacent row change analysis — without needing live data lookups, predictions, or external integrations. Ideal for data engineers auditing ETL pipeline acceptance rates and spotting row-to-row changes in routing metrics across dataset groups.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) causes request rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Invalid field enum value (not accepted_records or rejected_records) causes error
- Empty rows array is rejected (minItems: 1)
- Numeric values outside ±1,000,000,000,000 range are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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