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Build Artifacts — String Normalisation + Two-Measure Correlation
x402
Build Artifacts — String Normalisation + 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 2026-10-26).
Normalises string fields and computes two-measure correlation analysis on build artifact records (artifact_mb, build_seconds) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Build artifacts — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied build artifacts records (artifact_mb, build_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
Two analytical reports for the submitted build artifact rows: (1) a string normalisation report cleaning and standardising the game_area and other string fields, and (2) a two-measure correlation report quantifying the statistical relationship between artifact_mb and build_seconds across up to 200 supplied rows. No external lookups or predictions are made; all analysis is performed locally on the submitted data.
Example use cases
CI pipeline build metric correlation
“I have 50 build records from our CI system with artifact sizes in MB and build times in seconds — can you normalize the pipeline stage labels and tell me how strongly artifact size correlates with build duration?”
Game area build performance analysis
“We track builds across different game areas and I want to know if bigger artifacts always mean longer builds — normalize the game_area strings and run a two-measure correlation on artifact_mb vs build_seconds for these 120 rows.”
Build data quality and relationship check
“Before we optimize our build pipeline, can you clean up the area name strings and compute the correlation between artifact size and build time for the 80 records I'm sending, so we know whether those two metrics move together?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-14-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 build artifact records with numeric size (MB) and duration (seconds) fields and need both string normalisation of categorical labels and a statistical two-measure correlation between those numeric fields in a single call. It is well-suited for CI/CD or game build pipeline analysis where you want clean labels and a quantified relationship between artifact size and build time without external data lookups or predictions.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Null values in artifact_mb or build_seconds may reduce correlation reliability
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- row_id missing or empty causes required field validation failure
- Insufficient variance in either metric produces a degenerate or undefined correlation coefficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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