{"uid":"cap_EfV53Q12pIiLz9nE6El8p","slug":"creative-review-string-normalisation-explicit-missing-value-fill-a93c9b20","name":"Creative Review — String Normalisation + Explicit Missing-Value Fill","description":"Creative review — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied creative review records (feedback_count, approved_items). 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-creative-25-037?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","feedback_count","approved_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"approved_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"feedback_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","approved_items":1,"feedback_count":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","approved_items":2,"feedback_count":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","approved_items":3,"feedback_count":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","approved_items":4,"feedback_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["feedback_count","approved_items"],"type":"string","default":"feedback_count"},"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_bke5ahiFgUT0Ks511l_On","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 strings and fills missing values (zero/mean/median) for creative review records containing feedback_count and approved_items fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you clean up my creative review dataset — I have 50 rows with asset_group, date, feedback_count, and approved_items, some of which have nulls — normalise the strings and fill the missing feedback_count values using the median method?","exampleUseCases":[{"title":"Impute missing feedback counts for review batch","prompt":"I have a batch of 80 creative review records where some feedback_count values are null — can you fill those gaps using the mean and also normalise all the string fields in the dataset?"},{"title":"Clean approved items data with zero fill","prompt":"My approved_items column has a bunch of missing entries across 120 creative review rows grouped by asset_group and date — please normalise the strings and fill those nulls with zero so I can run my downstream report."},{"title":"Prepare creative review data for weekly summary","prompt":"Before I aggregate my weekly creative review numbers, can you normalise the string fields and use median imputation to fill any missing approved_items values across these 30 rows?"}],"resultDescription":"Two analytical reports covering (1) normalised string representations of the input creative review records and (2) explicit fills for any missing feedback_count or approved_items values using the specified method (zero, mean, or median), applied to up to 200 input rows. No external lookups or predictions are made — all computation is local.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","Missing required fields (row_id, asset_group, date) cause row rejection","Numeric values outside allowed range (-1e12 to 1e12) may be rejected","Invalid method enum value (not zero/mean/median) causes parameter error","Empty rows array returns an error response"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local data cleaning for creative review datasets specifically containing feedback_count and approved_items fields — particularly when you need both string normalisation and missing-value imputation in a single call for up to 200 rows at very low cost ($0.01 USDC for 2 reports). Prefer it over general-purpose ETL tools when the dataset is small and the schema matches exactly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:54.706Z","isFirstParty":false,"canonicalSlug":"creative-review-string-normalisation-explicit-missing-value-fill-a93c9b20"}