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Build Artifacts Data Quality & Distribution Analysis
x402
Build Artifacts Data Quality & Distribution Analysis is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs three independent analytical reports—record quality audit, string normalisation, and numeric distribution—on build artifact records containing artifact size and build duration fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Build artifacts — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied build artifacts records (artifact_mb, build_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across all fields; (2) a string normalisation report identifying and standardising inconsistencies in string fields like game_area; and (3) a numeric distribution report summarising the spread, central tendency, and outliers for the selected numeric field (artifact_mb or build_seconds). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
CI pipeline artifact size profiling
“I have 80 rows of build artifact records with row_id, game_area, date, artifact_mb, and build_seconds columns — can you run a quality audit, string normalisation, and numeric distribution on them, focusing on the artifact_mb field?”
Build duration data quality check
“Run a full data quality audit, string normalisation, and numeric distribution report on my 120 build records — each has a row_id, game_area, date, artifact_mb, and build_seconds — and focus the distribution report on build_seconds.”
Game area label normalisation review
“I've got 30 rows of build artifact data and I'm worried the game_area strings are inconsistent — can you do a record quality audit, string normalisation, and numeric distribution check on them using artifact_mb as the numeric field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-14-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical passes—quality audit, string normalisation, and numeric distribution—on up to 200 build artifact records in a single low-cost call. It is ideal when your data is already local (no live lookup needed) and you want a quick, structured profile of CI/CD build data covering both categorical string fields and numeric build metrics at a flat cost of $0.01 USDC for all three reports.
Side effects
- Fewer than 1 row or more than 200 rows supplied returns a validation error
- Missing required fields (row_id, game_area, date, artifact_mb, build_seconds) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Field enum value not one of artifact_mb or build_seconds causes a bad request error
- Numeric values outside the allowed range cause validation rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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