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Record Routing Quality Audit and Exact Row Deduplication
x402
Record Routing Quality Audit and Exact Row Deduplication 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).
Performs a quality audit and exact row deduplication on up to 200 record routing rows (accepted_records, rejected_records), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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 independent reports: (1) a record quality audit identifying data issues, anomalies, or inconsistencies in the accepted_records and rejected_records fields across the submitted rows, and (2) an exact row deduplication report identifying any duplicate rows by exact field match, along with the affected row_ids. Both reports are generated using local analytical engines with no external lookups.
Example use cases
ETL pipeline data quality check
“I just ran a batch ETL job and I need to audit the quality of my record routing output — can you check these rows for data quality issues and exact duplicates? I have about 50 rows across two dataset groups, each with a date, accepted_records, and rejected_records count.”
Routing dataset deduplication before reporting
“Before I finalize my weekly routing report, can you scan my 120 routing records for any exact duplicate rows and also flag any quality problems? The rows have row_ids, dataset groups, dates, and accepted/rejected record counts.”
Investigating rejected records anomalies
“My record routing pipeline has been producing some weird results — can you do a quality audit and deduplication check on the 80 rows I have, with dates in October 2026, to see if there are data quality issues or repeated rows causing the anomalies in my rejected_records numbers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline-style quality auditing and exact deduplication of record routing data (accepted/rejected record counts by date and group) without requiring live lookups, ML-based predictions, or external integrations. Best for batches up to 200 rows at low cost ($0.01 USDC for both reports). If you need fuzzy deduplication, ML-based anomaly detection, or more than 200 rows, look for alternative endpoints.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range (-1T to +1T) are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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