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Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Trailing Mean Series
x402
Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Trailing Mean Series 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 data (processed_rows, duration_seconds): data quality audit, exact duplicate row detection, and trailing moving average series.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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 reports: (1) a record quality audit identifying missing values, anomalies, or invalid fields; (2) an exact row deduplication report listing duplicate entries found in the input; and (3) a trailing mean time series for the selected field (processed_rows or duration_seconds) computed over the specified window size. All computed locally with no external lookups.
Example use cases
ETL pipeline data quality check
“Run a record quality audit, exact deduplication check, and trailing mean with a window of 4 on processed_rows for my ETL pipeline data — I have about 50 rows spanning October 2026 across groups alpha and beta.”
Batch job performance moving average
“Can you compute a trailing mean series for duration_seconds with a window of 5 across my batch job throughput records, and also flag any duplicate rows or quality issues while you're at it? I'll send you the 30 rows.”
Pipeline throughput deduplication audit
“I think there are some duplicate entries in my transformation throughput logs — can you run an exact row deduplication report along with a data quality audit and a rolling average for processed_rows using a window of 2? Here's the dataset with 15 records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — data quality audit, exact deduplication, and rolling mean — on transformation throughput records in a single cost-efficient call ($0.01 USDC for all three reports). Ideal for ETL monitoring, pipeline QA, and batch analytics workflows where data stays local and no external lookup or prediction is needed. Prefer this over separate analytics calls when your dataset is under 200 rows and you want consolidated throughput reporting.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, dataset_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size larger than number of input rows may produce empty or partial trailing mean series
- Null values in processed_rows or duration_seconds may affect trailing mean computation
- Fewer than 1 row submitted returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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