{"uid":"cap_J5Mw06H6MpNh4cf6nQNUv","slug":"image-exports-numeric-interval-filter-explicit-missing-value-fill-4f54172a","name":"Image Exports – Numeric Interval Filter + Explicit Missing-Value Fill","description":"Image exports — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied image exports records (width_pixels, height_pixels). 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-17-135?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","width_pixels","height_pixels"],"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},"width_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"height_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","width_pixels":10,"height_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","width_pixels":20,"height_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","width_pixels":15,"height_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","width_pixels":30,"height_pixels":4}],"maxItems":200,"minItems":1},"field":{"enum":["width_pixels","height_pixels"],"type":"string","default":"width_pixels"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_spDehpvN9P8lvgC4rTCXf","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":"Filters image export records (width_pixels, height_pixels) to a numeric interval and fills missing values using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of image export records with width_pixels and height_pixels — some values are null. Can you filter them to only keep rows where width_pixels is between 0 and 5000, fill any missing width_pixels using the median method, and give me 2 analytical reports? Here are up to 200 rows with row_id, asset_group, and date fields.","exampleUseCases":[{"title":"Clean ad creative dimension data","prompt":"I've got a list of up to 150 image export records for my ad creatives — some width_pixels values are missing. Can you filter everything outside 100 to 1920 pixels wide, fill the nulls with the mean, and run the 2 standard analytical reports on the cleaned data?"},{"title":"Audit banner image exports by size range","prompt":"We exported banner images across several asset groups and some height_pixels entries are null. Please filter the rows to height_pixels between 200 and 800, fill missing heights using zero, and give me both analytical reports on the result."},{"title":"Prepare thumbnail dataset for QA pipeline","prompt":"I have a dataset of thumbnail image exports — up to 200 rows — and I need to filter width_pixels to the range 50 to 500, replace any missing width values with the median, then produce the 2 analytical reports so I can review the distribution before sending to QA."}],"resultDescription":"Returns up to 2 analytical reports on the supplied image export rows after applying the specified numeric interval filter (min/max) to the chosen field (width_pixels or height_pixels) and filling any null values using the selected method (zero, mean, or median). Reports cover the filtered and imputed dataset, summarizing the cleaned records.","failureModes":["Rows array empty or exceeds 200 items — validation error","Missing required fields (row_id, date, width_pixels, height_pixels) on any row — schema rejection","Date field does not match YYYY-MM-DD pattern — validation error","Minimum value greater than maximum value — may return empty filtered set","Invalid fill method enum value — schema rejection","Non-numeric values in width_pixels or height_pixels where number is expected — type error"],"whenToPreferThis":"Choose this endpoint when you have a local batch of image export records (up to 200 rows) with width or height pixel dimensions that may contain nulls or out-of-range values, and you need both interval-filtered cleaning and explicit missing-value imputation in a single low-cost call. It is ideal for pre-processing creative asset metadata before downstream analytics or QA pipelines. It does not perform live lookups, predictions, or external actions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:14.739Z","isFirstParty":false,"canonicalSlug":"image-exports-numeric-interval-filter-explicit-missing-value-fill-4f54172a"}