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Record Routing — Record Quality Audit + Grouped Numeric Summary
x402
Record Routing — Record Quality Audit + Grouped Numeric Summary 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).
Runs two local analytical reports on record routing data: a per-row quality audit and a grouped numeric summary of accepted and rejected record counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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
Two independent reports: (1) a per-row record quality audit flagging anomalies, nulls, or data issues in the accepted/rejected record counts, and (2) a grouped numeric summary aggregating accepted_records or rejected_records statistics by dataset_group — all computed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline rejection rate review
“I just ran my nightly ETL load and want to audit the record routing results. Can you check my accepted_records and rejected_records across groups like 'warehouse' and 'staging' for the past week and give me a quality audit plus a grouped summary?”
Data ingestion quality check by team
“We have record routing logs from multiple dataset groups — 'finance', 'ops', and 'marketing' — with accepted and rejected counts per day over the last month. Can you run a quality audit and grouped numeric summary so I can see which groups are dropping the most records?”
Daily batch acceptance monitoring
“After today's batch run I have about 50 rows of record routing data with dates, group names, and accepted vs rejected counts. Can you audit data quality and summarize the totals grouped by dataset_group so I can spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-005?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 rows of record routing data with accepted and rejected record counts and want both a per-row quality audit and a grouped aggregate summary in a single low-cost call. Prefer it over general-purpose analytics when your data fits the specific record routing schema (row_id, dataset_group, date, accepted_records, rejected_records) and you need offline, local computation without any external API dependency.
Side effects
- Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors
- Submitting more than 200 rows exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null numeric values may limit statistical computations in the summary report
- Empty rows array returns an error
- 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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