{"uid":"cap_FiUhfuc9Vb-TgVYEKOCyI","slug":"build-artifacts-data-quality-analytics-suite-d95aa3c4","name":"Build Artifacts Data Quality & Analytics Suite","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-14-206?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_EfO_Hgty46NXMJNQdNCVL","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 local analytical reports on build artifact records: record quality audit, string normalisation, and date-by-category pivot for artifact_mb and build_seconds fields.","exampleAgentPrompt":"Can you run the three-report suite on my build artifact records — quality audit, string normalisation, and date-by-category pivot — on this set of up to 200 rows with game_area, date, artifact_mb, and build_seconds, focusing the pivot on artifact_mb?","exampleUseCases":[{"title":"CI pipeline artifact quality check","prompt":"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?"},{"title":"Build time trend analysis by game area","prompt":"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."},{"title":"Data hygiene pass before storing build metrics","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:52:21.729Z","isFirstParty":false,"canonicalSlug":"build-artifacts-data-quality-analytics-suite-d95aa3c4"}