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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 2026-10-26).
Runs three offline analytical reports on build artifact records: a record quality audit, string normalization, and a base-100 indexed series for artifact_mb or build_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Build artifacts — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 generated locally without external lookups: (1) a record quality audit flagging missing, null, or malformed fields across the submitted rows; (2) a string normalization report cleaning and standardizing text fields like game_area; and (3) a base-100 indexed series for the selected numeric field (artifact_mb or build_seconds) relative to the row at base_index. All computed on the up-to-200 submitted rows.
Example use cases
CI/CD build size regression audit
“I have 80 rows of build artifact data with columns row_id, game_area, date, artifact_mb, and build_seconds — can you run a record quality audit and produce a base-100 index on artifact_mb starting from index 0 so I can spot growth trends?”
Game area string normalization cleanup
“My build records have inconsistent game_area labels across 120 rows — can you normalize those strings and give me a quality audit so I know which records are malformed or missing values?”
Build duration baseline indexing
“I want to baseline-index our build_seconds data across 40 build artifact records starting from row index 0, and also run the record quality audit to flag any bad rows — can you do all three reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-14-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled offline analytical reports — quality audit, string normalization, and base-100 indexing — on build artifact data (artifact_mb, build_seconds) in a single low-cost call. It is best for batch processing up to 200 rows of CI/CD or game build records without needing live lookups, predictions, or external data enrichment. Prefer this over general-purpose analytics when your data is already collected and you want a structured quality + normalization + indexing pass in one shot for $0.01.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range 0-199 — rejected with schema error
- field value not in enum ['artifact_mb','build_seconds'] — validation error
- Null numeric values may affect base-100 series calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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