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Build Artifacts Data Quality & Analytics Suite
x402
Build Artifacts Data Quality & Analytics Suite 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 three local analytical reports on build artifact records: record quality audit, string normalisation, and date-by-category pivot for artifact_mb and build_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Build artifacts — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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
Three independent reports returned together: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report cleaning and standardising text fields such as game_area; (3) a date-by-category pivot table aggregating the chosen numeric field (artifact_mb or build_seconds) grouped by date and game_area category. All processing is local with no external lookups. Up to 200 rows per call.
Example use cases
CI pipeline artifact quality check
“I have 150 rows of build logs with row_id, game_area, date, artifact_mb, and build_seconds — can you run a quality audit, normalise the strings, and give me a date pivot on artifact_mb so I can spot which game areas are ballooning in size?”
Build time trend analysis by game area
“Run the three-report bundle on my 80-row build dataset with game_area and date fields, focusing the pivot on build_seconds, so I can see how build times trend across categories over the past month.”
Data hygiene pass before storing build metrics
“Before I store these 200 build artifact rows, can you audit them for quality issues, normalise any messy strings in game_area, and pivot the artifact_mb values by date and category so I have a clean summary?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-14-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three complementary data-quality and summarisation reports in a single cheap call ($0.01 USDC) on a small-to-medium batch of build artifact records (up to 200 rows). It is ideal for DevOps or game development pipelines where you want simultaneous quality auditing, string hygiene, and a categorical date pivot without spinning up external analytics infrastructure or making live lookups.
Side effects
- Fewer than 1 row supplied — minItems violation returns validation error
- More than 200 rows supplied — maxItems violation returns validation error
- Missing required row fields (row_id, game_area, date, artifact_mb, build_seconds) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Invalid field enum value (not artifact_mb or build_seconds) — enum validation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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