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Transformation Throughput Analytics: Quality Audit + Deduplication + Histogram
x402
Transformation Throughput Analytics: Quality Audit + Deduplication + 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 three local analytical reports on transformation throughput records: record quality audit, exact row deduplication, and equal-width histogram — all in a single API call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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
Returns three independent analytical reports for the submitted transformation throughput records: (1) a record quality audit flagging nulls, type errors, and anomalies; (2) an exact row deduplication report identifying and removing duplicate records; and (3) an equal-width histogram of the chosen numeric field (processed_rows or duration_seconds) across the specified number of bins.
Example use cases
ETL pipeline data quality check
“I have 150 rows of daily ETL job logs with columns row_id, dataset_group, date, processed_rows, and duration_seconds. Can you run a record quality audit, deduplicate exact duplicate rows, and build a 5-bin histogram on processed_rows so I can see how the row counts are distributed?”
Pipeline duration distribution analysis
“Audit the quality of my transformation throughput records, remove any exact duplicates, and give me an equal-width histogram with 8 bins on duration_seconds so I can understand how long our pipeline jobs typically run — here are the rows with row_id, dataset_group, date, processed_rows, and duration_seconds.”
Data cleaning before dashboard refresh
“Before I refresh our dashboard, can you run a quality audit and exact deduplication pass on these 80 transformation throughput records, and also generate a 10-bin histogram on processed_rows? The rows include row_id, dataset_group, date, processed_rows, and duration_seconds fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three complementary data quality operations — quality audit, deduplication, and histogram — applied to the same transformation throughput dataset in a single cheap call ($0.01 USDC). Ideal for ETL monitoring workflows where you want to validate, clean, and profile pipeline records without calling three separate services. Best suited for datasets up to 200 rows where all computation is local (no external lookups or ML predictions).
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause row-level errors in the quality audit
- Invalid date format (not YYYY-MM-DD) triggers a schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
- Requesting fewer than 1 or more than 30 bins returns a parameter error
- Empty rows array is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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