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Pipeline Durations Analytics — String Normalisation + Numeric Distribution
x402
Pipeline Durations Analytics — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Analyzes pipeline duration records (run_seconds, processed_rows) by running string normalization and numeric distribution reports on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied pipeline durations records (run_seconds, processed_rows). 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: a string normalization report (cleaning and standardizing string fields like dataset_group) and a numeric distribution report (statistical distribution summary such as min, max, mean, percentiles, histogram buckets) for the chosen numeric field (run_seconds or processed_rows), computed locally on the supplied rows without any external lookups.
Example use cases
ETL pipeline performance profiling
“I have a batch of 50 pipeline run records with run_seconds and processed_rows logged by date and dataset group — can you run a string normalization and numeric distribution report on the run_seconds field so I can see how durations are spread?”
Processed rows volume distribution
“Here are 120 pipeline execution records from last month, each with a row_id, date, dataset_group, run_seconds, and processed_rows — please run the numeric distribution analysis on processed_rows so I can understand the volume spread across runs.”
Dataset group label normalization audit
“I've got pipeline logs for two dataset groups across 80 rows — can you run the string normalization report on these records along with the numeric distribution for run_seconds to check both label consistency and runtime stats?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline execution records with duration and throughput metrics (run_seconds, processed_rows) and need both string normalization of categorical labels and a numeric distribution profile in a single call, without needing live data lookup, prediction, or external enrichment. Ideal for data engineers auditing ETL pipeline performance or throughput distributions on batches up to 200 rows.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside allowed range cause rejection
- Empty rows array returns an error
- Payment not attached or insufficient USDC causes x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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