{"uid":"cap_KtDwtzdfZqOWLuAVjz3Nl","slug":"build-artifacts-data-quality-distribution-analysis-84387f35","name":"Build Artifacts Data Quality & Distribution Analysis","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-14-193?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","artifact_mb","build_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"artifact_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"build_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","artifact_mb":10,"build_seconds":1},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","artifact_mb":20,"build_seconds":2},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","artifact_mb":15,"build_seconds":3},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","artifact_mb":30,"build_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["artifact_mb","build_seconds"],"type":"string","default":"artifact_mb"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_FIt96k92tW2fcxQoWEwwf","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs three independent analytical reports—record quality audit, string normalisation, and numeric distribution—on build artifact records containing artifact size and build duration fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric distribution analysis on my build artifact data — I have up to 50 rows with fields like row_id, game_area, date, artifact_mb, and build_seconds, and I want to analyse the artifact_mb field?","exampleUseCases":[{"title":"CI pipeline artifact size profiling","prompt":"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?"},{"title":"Build duration data quality check","prompt":"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."},{"title":"Game area label normalisation review","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:09:47.242Z","isFirstParty":false,"canonicalSlug":"build-artifacts-data-quality-distribution-analysis-84387f35"}