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Transformation Throughput Analytics — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Transformation Throughput Analytics — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs three local analytical reports (record quality audit, string normalisation, and secondary-measure weighted mean) on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied transformation throughput records (processed_rows, duration_seconds). 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 analytical reports covering: (1) a record quality audit flagging missing, null, or malformed values across the supplied rows; (2) a string normalisation report cleaning dataset_group and other string fields; and (3) a secondary-measure weighted mean of the selected field (processed_rows or duration_seconds) weighted by the other numeric measure. All computed locally without external lookups.
Example use cases
ETL pipeline quality audit
“Run a quality audit, string normalisation, and weighted mean on my ETL pipeline throughput logs — I have 10 records with row IDs, dataset groups, dates, processed row counts, and durations in seconds, and I want to analyse processed_rows.”
Data engineering batch report
“I have 50 transformation throughput records from last month across several dataset groups. Can you check their data quality, normalise the string fields, and give me a duration-weighted mean for processed_rows?”
Pipeline performance summary
“Analyse these 200 transformation throughput rows for me — I need a record quality audit, string normalisation of the group labels, and a secondary-measure weighted mean on duration_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three specific local analytical operations — record quality audit, string normalisation, and secondary-measure weighted mean — applied together in a single call to transformation throughput data (processed_rows and duration_seconds). It is ideal for data engineers who want a bundled quality-check-plus-normalisation-plus-weighted-average report on up to 200 pipeline records without triggering any external API calls or predictions.
Side effects
- Fewer than 1 row supplied — minItems validation failure
- More than 200 rows supplied — maxItems validation failure
- Missing required fields (row_id, date, processed_rows, duration_seconds) — schema validation error
- Invalid date format not matching YYYY-MM-DD pattern — pattern validation failure
- All numeric values null — weighted mean cannot be computed
- Invalid field enum value — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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