{"uid":"cap_1YGHqUU2jrNBr9FUayTsG","slug":"schema-conformity-string-normalisation-missing-value-fill-d870ebcc","name":"Schema Conformity — String Normalisation + Missing-Value Fill","description":"Schema conformity — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 2 independent reports using shared local analytical engines. 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Can you normalise the strings and fill those missing values with zero across all rows?"},{"title":"Mean-fill before conformity reporting","prompt":"Before I run my monthly data quality report, I need to normalise strings and replace any null valid_records in my dataset with the mean value — I have about 80 rows across two dataset groups."}],"resultDescription":"Two independent analytical reports covering (1) string normalisation results for text fields and (2) explicit missing-value fill results for the selected numeric field (valid_records or checked_records), using the chosen method (zero, mean, or median), applied to all supplied rows (up to 200).","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, valid_records, checked_records) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid fill method or field enum value — schema rejection","All rows have null values in the target field — mean/median may be undefined"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of schema conformity records — specifically string normalisation and missing-value imputation — without any external lookups, ML predictions, or live data access. It is ideal for ETL pre-processing, data quality pipelines, or report preparation where you want two bundled analytical outputs cheaply ($0.01 USDC per call) for small-to-medium batches (up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:25.629Z","isFirstParty":false,"canonicalSlug":"schema-conformity-string-normalisation-missing-value-fill-d870ebcc"}