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Transformation Throughput — Record Quality Audit + Equal-Width Histogram
x402
Transformation Throughput — Record Quality Audit + 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 2026-10-28).
Runs a record quality audit and equal-width histogram analysis on transformation throughput data (processed_rows, duration_seconds) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Equal-width histogram: Record quality audit + Equal-width histogram for supplied transformation throughput records (processed_rows, duration_seconds). 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 identifying completeness, nulls, and anomalies across the supplied rows; and (2) an equal-width histogram report showing bin boundaries and row frequency counts for the selected field (processed_rows or duration_seconds), computed locally with no external lookups.
Example use cases
ETL pipeline data quality check
“I have 120 records from our nightly ETL jobs with fields like row_id, dataset_group, date, processed_rows, and duration_seconds — can you run a record quality audit on them to flag any nulls or anomalies, and also give me an equal-width histogram with 8 bins on processed_rows?”
Distribution analysis of job durations
“Here are 80 transformation throughput records from last month. Run a histogram analysis on duration_seconds with 5 bins so I can see how job durations are distributed, and include a quality audit to catch any bad records.”
Dataset group throughput profiling
“I've got 200 rows of transformation throughput data across multiple dataset groups — please audit the record quality and generate an equal-width histogram on processed_rows using 15 bins so I can profile performance across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-013?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a histogram distribution analysis on transformation throughput records in a single call at low cost ($0.01 USDC for both reports). It is ideal for data engineers profiling ETL pipeline performance data offline without needing live lookups, predictions, or external data enrichment. Prefer alternatives if you need more than 200 rows, need to analyze fields other than processed_rows or duration_seconds, or require real-time data fetching.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, date, processed_rows, duration_seconds) triggers validation error
- Invalid date format (non YYYY-MM-DD) causes parse failure
- Bins value outside 1–30 range is rejected
- All null values in the target field may produce degenerate histogram
- Payment failure via x402 protocol blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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