{"uid":"cap_SuearjAqdvz_zdFA9XoYw","slug":"build-artifacts-data-quality-analytics-suite-e4efbc62","name":"Build Artifacts Data Quality & Analytics Suite","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-14-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_UjSPSKRl4Ll1b9rITde--","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 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.","exampleAgentPrompt":"Can you audit the quality of these build artifact records, normalize the game_area strings, and give me a base-100 index series on artifact_mb starting from row 0? I have up to 50 rows with fields row_id, game_area, date, artifact_mb, and build_seconds.","exampleUseCases":[{"title":"CI/CD build size regression audit","prompt":"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?"},{"title":"Game area string normalization cleanup","prompt":"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?"},{"title":"Build duration baseline indexing","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:27.080Z","isFirstParty":false,"canonicalSlug":"build-artifacts-data-quality-analytics-suite-d95aa3c4"}