{"uid":"cap_sC9i_DhHeNMdx_CsCQCf7","slug":"export-validation-numeric-row-ordering-explicit-missing-value-fill-85982a37","name":"Export Validation — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Export validation — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied export validation records (valid_rows, exported_rows). 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-analytics-14-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_rows","exported_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"valid_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"exported_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","valid_rows":10,"dataset_group":"group-a","exported_rows":1},{"date":"2026-10-02","row_id":"row-2","valid_rows":20,"dataset_group":"group-b","exported_rows":2},{"date":"2026-10-03","row_id":"row-3","valid_rows":15,"dataset_group":"group-a","exported_rows":3},{"date":"2026-10-04","row_id":"row-4","valid_rows":30,"dataset_group":"group-b","exported_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_rows","exported_rows"],"type":"string","default":"valid_rows"},"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_mMJfW8VY4IKb6aSUsWJWR","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":"Sorts export validation records numerically by row and fills missing values in valid_rows or exported_rows using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have export validation records for groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 — can you numerically sort them by row and fill any missing exported_rows values using median imputation? I need both analytical reports.","exampleUseCases":[{"title":"Impute missing export counts for ETL audit","prompt":"I'm auditing our ETL pipeline and have up to 150 rows of export validation data with some null exported_rows values — sort them numerically and fill those nulls using mean imputation so I can review both output reports."},{"title":"Fill missing valid_rows with zero for nightly report","prompt":"For tonight's data quality report, take these export validation rows across my dataset groups, order them numerically, and fill any missing valid_rows with zero — give me the two analytical summaries."},{"title":"Pre-submission dataset export check","prompt":"Before I submit this dataset, sort these export validation records numerically and use median fill to handle any null valid_rows values across all the groups — I have about 80 rows total."}],"resultDescription":"Returns two independent analytical reports: one covering numeric row ordering of the supplied export validation records, and one covering explicit missing-value fill for the specified field (valid_rows or exported_rows) using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) on any row","Date field not matching YYYY-MM-DD pattern — validation error","Invalid enum value for field or method parameters","Empty rows array (minItems: 1 not met)","Numeric values outside allowed range (±1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you need both numeric row ordering and missing-value imputation applied to export validation data in a single call at minimal cost ($0.01 USDC for two reports). It is best suited for offline/batch data quality workflows where you supply up to 200 rows of valid_rows/exported_rows records and want deterministic, locally computed results without any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:11.688Z","isFirstParty":false,"canonicalSlug":"export-validation-numeric-row-ordering-explicit-missing-value-fill-85982a37"}