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Build Artifacts Record Quality Audit and String Normalisation
x402
Build Artifacts Record Quality Audit and String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Audits data quality and normalises strings for build artifact records (artifact_mb, build_seconds), producing 2 independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Build artifacts — Record quality audit + String normalisation: Record quality audit + String normalisation 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 independent analytical reports: a record quality audit highlighting missing values, out-of-range numbers, malformed dates, and data integrity issues; and a string normalisation report showing cleaned and standardised string field values (e.g. game_area). Reports are generated locally from the supplied data with no external lookups.
Example use cases
CI pipeline data quality check
“I've got a batch of 80 build artifact records from our CI pipeline with artifact_mb and build_seconds values — can you audit them for data quality issues and also normalise the string fields like game_area, then give me the two reports?”
Game build anomaly detection
“Here are 120 rows of game build data with dates, game areas, artifact sizes in MB, and build durations in seconds — please run a quality audit and string normalisation on them so I can spot any bad or inconsistent entries.”
Pre-release build data validation
“Before we cut the release, I want to validate our build artifact records — about 30 rows with artifact_mb and build_seconds fields. Can you do a record quality audit and normalise the string columns, and send me both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-14-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical processing of build artifact records for data quality auditing and string normalisation — specifically when your data includes artifact_mb and build_seconds fields, you have up to 200 rows, and you want two independent reports (quality audit + string normalisation) without any live lookups or external data enrichment. Prefer this over generic data validation tools when working specifically with game or software build pipeline datasets.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, artifact_mb, build_seconds) cause row-level errors
- Malformed date strings not matching YYYY-MM-DD pattern flagged as invalid
- Numeric values outside the accepted range cause validation errors
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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