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Record Routing Quality Audit & String Normalisation
x402
Record Routing Quality Audit & String Normalisation 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).
Performs a two-part local analytical report on record routing data: a quality audit of accepted/rejected record counts and string normalisation of routing record fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + String normalisation: Record quality audit + String normalisation 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 analytical reports: (1) a record quality audit covering accepted_records and rejected_records per row, flagging anomalies, nulls, or out-of-range values; (2) a string normalisation report cleaning and standardising text fields such as row_id and dataset_group. Both reports are generated locally without external lookups or predictions, covering up to 200 input rows.
Example use cases
ETL pipeline rejection rate audit
“I need a quality audit on my ETL pipeline's routing records for October — I have 50 rows across dataset groups 'ingest-prod' and 'ingest-staging' with accepted and rejected counts per day. Can you run the quality audit and flag anything unusual?”
Normalise dataset group labels in routing logs
“My routing log exports have inconsistent group name formatting across 120 rows — can you run the string normalisation report on them so the dataset_group labels are cleaned up and consistent?”
Pre-release data quality check for routing batch
“Before we sign off on this month's routing batch, can you run both the quality audit and string normalisation reports on these 80 rows of accepted and rejected record data, dated 2026-09-01 through 2026-09-30?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local, offline-style quality audit and string normalisation pass on a batch of record routing data (up to 200 rows) without requiring live lookups, external data enrichment, or predictive modelling. Ideal for pre-pipeline validation, post-ingestion QA checks, and cleaning dataset group labels in routing logs. Prefer alternatives if you need real-time record validation against a live schema registry, ML-based anomaly detection, or processing more than 200 rows in a single call.
Side effects
- Exceeding 200 rows returns a validation error — batch must be split
- Missing required fields (row_id, date, accepted_records, rejected_records) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null or extreme numeric values in accepted_records/rejected_records may be flagged but not rejected
- Payment of 0.01 USDC must be confirmed before processing begins
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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