{"uid":"cap_VpQqjyl5tEMDgdyqq8r9i","slug":"build-artifacts-string-normalisation-explicit-missing-value-fill-bb5fc680","name":"Build Artifacts String Normalisation + Explicit Missing-Value Fill","description":"Build artifacts — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-14-037?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_RrVCkoP6ib2HDHusTVZjg","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":"Normalises string fields and fills missing numeric values (artifact_mb or build_seconds) in up to 200 build artifact records, returning two analytical reports.","exampleAgentPrompt":"Clean my build artifact records by normalising the string fields and filling missing artifact_mb values using median imputation — here are 4 rows with game_area group-a and group-b, dates from 2026-10-01 to 2026-10-04, and some null artifact_mb entries.","exampleUseCases":[{"title":"Impute missing artifact sizes before reporting","prompt":"I have 50 build artifact rows where some artifact_mb values are null — can you fill those missing sizes using the median of the existing values and also normalise the string fields like game_area?"},{"title":"Zero-fill missing build durations in CI data","prompt":"My CI pipeline export has missing build_seconds for several rows. Please fill them with zero and normalise the string columns so the data is clean for downstream processing."},{"title":"Prep game build data for cross-area comparison","prompt":"I need to compare build artifacts across game areas but my dataset has inconsistent string casing and some null artifact_mb entries. Can you normalise the strings and use mean fill on the missing artifact_mb values for these 120 rows?"}],"resultDescription":"Two analytical reports covering: (1) string-normalised version of the submitted build artifact records, and (2) explicit missing-value fill for the specified numeric field (artifact_mb or build_seconds) using the chosen method (zero, mean, or median). Reports are generated locally from the supplied data only — no external lookups.","failureModes":["More than 200 rows submitted — request rejected (maxItems constraint)","Invalid date format (must be YYYY-MM-DD) — validation error","Missing required fields (row_id, game_area, date, artifact_mb, build_seconds) — schema validation failure","Numeric values outside allowed range — validation error","Invalid enum value for field or method — rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local data-cleaning operations on build artifact records — specifically string normalisation combined with missing-value imputation for artifact_mb or build_seconds. It is ideal for pre-processing small-to-medium CI/CD datasets (up to 200 rows) before analytics, without any external data lookups or ML predictions. Prefer it over general-purpose data-cleaning pipelines when your domain is build artifacts with game_area groupings and you want deterministic, auditable imputation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:23.137Z","isFirstParty":false,"canonicalSlug":"build-artifacts-string-normalisation-explicit-missing-value-fill-bb5fc680"}