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Release Readiness Adjacent Row Changes & Two-Measure Correlation
x402
Release Readiness Adjacent Row Changes & 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 2026-10-24).
Runs two local analytical reports on up to 200 release readiness rows: adjacent row change detection and correlation analysis between checks_passed and checks_total.
Price / call$0.01
Success—
StatusUnknown
How this service works
Release readiness — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied release readiness records (checks_passed, checks_total). 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 independent analytical reports: (1) an adjacent row changes report showing differences between consecutive rows for the selected field, and (2) a two-measure correlation report between checks_passed and checks_total across the supplied dataset. All analysis is performed locally on the provided data with no external lookups.
Example use cases
CI pipeline quality trend analysis
“I have daily release check data for two components over the past week — can you run adjacent row change detection and correlation analysis on checks_passed vs checks_total to see if our pass rates are trending consistently?”
Pre-release gate regression check
“Before we cut the release, analyze these 50 rows of release readiness records — component names, dates, checks_passed and checks_total — and tell me if there are any suspicious adjacent row jumps or a weak correlation between the two measures.”
Multi-team check coverage comparison
“We have release readiness logs from three teams across 200 rows. Run the adjacent row changes report and the two-measure correlation on checks_passed to see which team shows the most volatility and whether their passed-to-total ratio is consistent.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-12-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, on-demand statistical analysis of release readiness check data without sending data to an external prediction or ML service. It is ideal for DevOps pipelines that need two simultaneous local analytical reports — adjacent row deltas and inter-measure correlation — on up to 200 rows at very low cost. Prefer alternatives if you need forecasting, professional assessment, or analysis of more than 200 rows at once.
Side effects
- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Missing required fields (row_id, component, date, checks_passed, checks_total) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Fewer than 2 rows provided — insufficient data for adjacent row analysis or correlation
- Non-numeric values in checks_passed or checks_total — computation fails
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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