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Transformation Throughput Analytics: Numeric Distribution + Adjacent Row Changes
x402
Transformation Throughput Analytics: Numeric Distribution + Adjacent Row Changes 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).
Analyzes transformation throughput records to produce a numeric distribution report and an adjacent row changes report for processed_rows or duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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 report summarizing the statistical spread (e.g. min, max, mean, percentiles, frequency buckets) of the chosen field (processed_rows or duration_seconds), and (2) an adjacent row changes report showing the delta between consecutive rows for the same field — all computed locally from supplied data with no external lookups.
Example use cases
ETL pipeline throughput distribution review
“I have 50 daily ETL run records with processed_rows and duration_seconds — can you give me a numeric distribution of processed_rows and show me how the counts changed between consecutive runs across my dataset groups?”
Duration anomaly detection across batch jobs
“Here are 80 transformation records for our batch jobs with dates, dataset groups, and duration_seconds values — run the numeric distribution and adjacent row changes reports on duration_seconds so I can spot any unusually long or spiking runs.”
Pipeline performance comparison by group
“I want to understand the spread and step-by-step changes in processed_rows for my group-a and group-b pipeline records from last month — I'll supply up to 150 rows with row IDs, dates, processed_rows, and duration_seconds; please use processed_rows as the field to analyze.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a statistical distribution view and a consecutive-record delta view of ETL or data pipeline throughput metrics (processed_rows or duration_seconds) from your own supplied data, without requiring any external data source, prediction, or real-time lookup. It is especially useful for pipeline performance audits, batch job monitoring, and identifying throughput anomalies in up to 200 records for a flat $0.01 USDC fee covering both reports.
Side effects
- Rows array is empty or missing — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Missing required row fields (row_id, dataset_group, date, processed_rows, duration_seconds) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Field selector not one of 'processed_rows' or 'duration_seconds' — enum validation error
- Null values in processed_rows or duration_seconds may reduce report completeness
- Payment of 0.01 USDC not provided or rejected — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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