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Pipeline Durations — Base-100 Series + Two-Measure Correlation
x402
Pipeline Durations — Base-100 Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes a Base-100 index series and a two-measure correlation report for supplied pipeline duration records (run_seconds and processed_rows) — up to 200 rows, no external data required.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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
Returns two analytical reports: (1) a Base-100 index series showing each row's selected measure (run_seconds or processed_rows) relative to the baseline row, and (2) a two-measure correlation report quantifying the relationship between run_seconds and processed_rows across the supplied rows. No external lookups or predictions are made; all computation uses the supplied data only.
Example use cases
ETL pipeline performance baseline tracking
“I have 30 days of ETL pipeline run logs with run_seconds and processed_rows for two dataset groups. Can you build a Base-100 index starting from day 1 and also tell me how strongly run_seconds and processed_rows are correlated across all those runs?”
Comparing throughput efficiency across pipeline groups
“Here's a dataset of pipeline runs across group-a and group-b over the past month — each row has a date, run duration in seconds, and how many rows were processed. Can you normalize run_seconds to a base-100 series from row index 0 and give me the correlation between the two measures?”
Detecting pipeline slowdowns relative to baseline
“I want to see whether my pipelines are getting slower over time. I have 80 rows of run data with run_seconds and processed_rows. Please index run_seconds against the very first run as base 100, and also compute the correlation between duration and volume processed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline execution records with numeric duration and volume fields and need both a relative trend index (Base-100 series) and a linear correlation between two measures computed locally — without external API calls, ML models, or live data. Ideal for data engineers wanting lightweight, reproducible analytical summaries on small-to-medium datasets (up to 200 rows) at minimal cost ($0.01 USDC covers both reports).
Side effects
- Input array exceeds 200 rows — request rejected
- Required fields (row_id, date, run_seconds, processed_rows, dataset_group) missing from one or more rows — validation error
- base_index out of range (0–199) or references a non-existent row — error returned
- Null values in run_seconds or processed_rows may reduce correlation quality or cause partial results
- Malformed date strings not matching YYYY-MM-DD pattern — validation failure
- Fewer than 2 rows provided — correlation cannot be computed meaningfully
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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