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Transformation Throughput Analytics — Numeric Distribution + Daily Sum Series
x402
Transformation Throughput Analytics — Numeric Distribution + Daily Sum 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).
Computes a numeric distribution report and a daily sum time series for transformation throughput metrics (processed_rows, duration_seconds) from up to 200 supplied records, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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
Returns two analytical reports: (1) a numeric distribution of the selected metric (processed_rows or duration_seconds) showing frequency, spread, and statistical shape across the supplied rows, and (2) a daily sum time series aggregating the selected metric by date — both computed locally from the supplied data without any external lookup.
Example use cases
ETL pipeline throughput audit
“I have daily ETL job logs with processed_rows and duration_seconds for two dataset groups, 'raw_ingestion' and 'cleaned_output', from 2025-01-01 to 2025-01-31. Can you compute the numeric distribution and daily sum series for processed_rows across all 90 records so I can see how throughput varied?”
Pipeline duration bottleneck analysis
“I want to understand how long my transformation jobs are taking — I have 150 records with row_id, date, dataset_group, and duration_seconds. Can you run the numeric distribution and daily sum series on duration_seconds so I can spot which days had unusually high total processing time?”
Multi-group daily throughput comparison
“I've got transformation throughput logs for three dataset groups — 'billing', 'inventory', and 'analytics' — covering about 180 rows from last quarter. Can you compute the daily sum series and numeric distribution for processed_rows so I can compare throughput patterns across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-075?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw transformation throughput records (processed_rows or duration_seconds) and need both a statistical distribution and a daily aggregate time series in a single low-cost call. It is ideal for data engineering teams auditing ETL pipeline performance, identifying throughput outliers, or reviewing daily processing trends — all from locally supplied data without needing live data connections or external enrichment.
Side effects
- Exceeding 200 rows results in rejection — trim input to 200 records
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Null values in the selected metric field may reduce the usable sample size for distribution
- Field selector must be exactly 'processed_rows' or 'duration_seconds' — other values are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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