{"uid":"cap_-9QnVkKEukqB2S7xic981","slug":"image-exports-quality-audit-missing-value-fill-320f7d4d","name":"Image Exports Quality Audit & Missing-Value Fill","description":"Image exports — Record quality audit + Explicit missing-value fill: Record quality audit + 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-17-019?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"}}},"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_aAZc__j81LhtFEppvz3pP","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 a record quality audit and explicit missing-value fill on image export records (width_pixels, height_pixels) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of my image export records and fill in any missing width_pixels values using the median method? I have about 50 rows with fields like row_id, asset_group, date, width_pixels, and height_pixels.","exampleUseCases":[{"title":"Pre-pipeline image dimension validation","prompt":"I have 120 rows of image export data with width_pixels and height_pixels fields and some nulls scattered throughout — can you run a quality audit and fill the missing width_pixels using median imputation before I send this to the renderer?"},{"title":"Asset group missing-height detection","prompt":"My image asset export has about 80 rows grouped by asset_group and I suspect some height_pixels values are missing — can you audit those records for quality issues and fill any missing height_pixels with zero?"},{"title":"Weekly image export data QA","prompt":"Here are this week's image export records — 40 rows with dates, row IDs, and pixel dimensions — can you give me a quality audit report and also fill any missing width_pixels using the mean so I can spot problems before the team review?"}],"resultDescription":"Two independent reports: (1) a record quality audit identifying issues such as null, out-of-range, or malformed values across the submitted rows; (2) an explicit missing-value fill report showing which rows had null width_pixels or height_pixels and the imputed replacement values using the chosen method (zero, mean, or median). No external lookups or predictions are made — all analysis uses local analytical engines on the supplied data.","failureModes":["Submitting more than 200 rows returns an error or truncated results","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id) causes validation failure","Invalid fill method enum value causes request rejection","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit plus missing-value imputation specifically for image export records containing pixel dimension fields (width_pixels, height_pixels). It is ideal for preprocessing image asset datasets before downstream rendering or analytics pipelines, especially when you want both a quality report and filled values in a single low-cost call for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:39:19.664Z","isFirstParty":false,"canonicalSlug":"image-exports-quality-audit-missing-value-fill-320f7d4d"}