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Record Routing Analytics: Quality Audit + String Normalisation + Equal-Width Histogram
x402
Record Routing Analytics: Quality Audit + String Normalisation + Equal-Width Histogram 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).
Runs three local analytical reports — record quality audit, string normalisation, and equal-width histogram — on up to 200 record routing rows containing accepted and rejected record counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied record routing records (accepted_records, rejected_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three structured analytical reports: (1) a record quality audit flagging issues like nulls, out-of-range values, and format violations; (2) a string normalisation report for text fields such as dataset_group and date; (3) an equal-width histogram showing bin boundaries and counts for the selected numeric field (accepted_records or rejected_records) across up to 30 bins. All computed locally with no external lookups.
Example use cases
ETL pipeline quality review
“I have 120 rows of record routing output from our nightly ETL job with accepted_records and rejected_records. Can you audit the data quality, normalise the string fields, and give me a 5-bin histogram on rejected_records so I can see where failures cluster?”
Dataset ingestion acceptance analysis
“Here are 80 record routing rows from our dataset ingestion system — run me a quality audit and a 10-bin histogram on accepted_records so I can spot any anomalies in the distribution.”
Data team QA reporting
“Our data team needs a quick QA report on these 200 record routing rows: quality audit, string normalisation on the group and date fields, and a 7-bin histogram of accepted_records — can you generate all three reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and histogram — on record routing data with accepted/rejected record counts, all in a single $0.01 call for up to 200 rows. It is ideal for lightweight, offline analytics on ETL or data pipeline outputs where no live data enrichment, prediction, or external lookups are required.
Side effects
- More than 200 rows submitted — request rejected, reduce to ≤200 rows
- Missing required fields (row_id, date, accepted_records, rejected_records) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Bin count outside 1–30 range — request rejected
- Empty rows array — minItems:1 not satisfied
- Non-numeric values in accepted_records or rejected_records where number expected — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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