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Record Routing — Record Quality Audit + Category Frequencies
x402
Record Routing — Record Quality Audit + Category Frequencies 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).
Analyzes record routing data (accepted and rejected records) to produce a record quality audit report and a category frequencies report in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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 analytical reports: (1) a record quality audit summarizing acceptance/rejection patterns, completeness, and anomalies in the supplied rows; and (2) a category frequencies report breaking down how often each dataset_group appears and the distribution of accepted vs rejected records across categories. Results are computed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline rejection rate audit
“I have 50 rows of record routing data from my ETL pipeline covering November 2025 — each row has a dataset group, a date, and counts of accepted and rejected records. Can you run a quality audit and show me the category frequencies so I can spot which groups have the worst rejection rates?”
Daily ingestion batch quality check
“Here are 30 rows from yesterday's data ingestion batches, tagged with row IDs and dataset groups. Run the record quality audit and category frequencies report on them so I can see if any groups are spiking in rejections.”
Multi-group routing summary for stakeholders
“I need a quality audit and category frequency summary for our record routing data across 4 dataset groups over the past week — about 120 rows total with accepted and rejected record counts. Can you generate both reports so I can share the findings with the data team?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit AND category frequency breakdown for record routing data in a single $0.01 call (up to 200 rows). It is ideal for ETL pipeline monitoring, data ingestion QA, and routing batch analysis where you supply your own data and need local analytical computation without external lookups or live data enrichment.
Side effects
- Exceeds 200-row limit — request will fail or be truncated; split into multiple calls
- Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in accepted_records or rejected_records may affect quality audit completeness
- Extremely large numeric values (near ±1,000,000,000,000) may produce unexpected summary statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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