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Deployment Runs — String Normalisation + Secondary-Measure Weighted Mean
x402
Deployment Runs — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-09).
Normalises component/date strings and computes a secondary-measure weighted mean across deployment run records (deploy_seconds, rollback_count) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deployment runs — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied deployment runs records (deploy_seconds, rollback_count). 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 string normalisation report cleaning component/date fields across the supplied rows, and (2) a secondary-measure weighted mean computed for the selected numeric field (deploy_seconds or rollback_count), using the other as the secondary weight. Covers up to 200 input rows with no external lookups or live data.
Example use cases
Release pipeline duration analysis
“I have 120 deployment run records with row_id, component, date, deploy_seconds, and rollback_count. Can you normalise the component name strings and compute a weighted mean of deploy_seconds using rollback_count as the secondary measure?”
Rollback frequency weighted aggregation
“Here are 80 rows of CI/CD deployment data. Please normalise the string fields and give me the secondary-measure weighted mean of rollback_count, using deploy_seconds as the weight field.”
Multi-component deployment stats cleanup
“We have deployment data for two components — group-a and group-b — across 60 rows. Run string normalisation on the component and date fields, then compute the weighted mean of deploy_seconds weighted by rollback_count so I can compare the two groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-02-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 deployment run records and need both string normalisation of component/date fields and a secondary-measure weighted mean for deploy_seconds or rollback_count in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data is specifically structured around deployment run metrics and you want two bundled local analytical reports without any external lookups or predictions.
Side effects
- More than 200 rows submitted — request rejected with max-items validation error
- Missing required fields (row_id, component, date, deploy_seconds, rollback_count) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in both numeric fields prevent weighted mean computation
- field enum value not one of 'deploy_seconds' or 'rollback_count' — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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