{"uid":"cap_YxnsiYUApwdJTLwNjyi9y","slug":"catalog-completeness-numeric-row-ordering-explicit-missing-value-fill-f9133638","name":"Catalog Completeness — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Catalog completeness — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied catalog completeness records (populated_fields, required_fields). 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-retail-10-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","populated_fields","required_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"required_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","required_fields":1,"populated_fields":10},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","required_fields":2,"populated_fields":20},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","required_fields":3,"populated_fields":15},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","required_fields":4,"populated_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_fields","required_fields"],"type":"string","default":"populated_fields"},"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_3GgrzqeogGGx6Gy-MqZKU","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":"Orders catalog completeness rows numerically and fills missing populated_fields or required_fields values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have catalog completeness records for my retail store groups — can you sort them numerically by row and fill in any missing populated_fields values using the median? Here are up to 50 rows with row_id, store_group, date, populated_fields, and required_fields, and I need two reports back.","exampleUseCases":[{"title":"Imputing missing fields for store audit","prompt":"I have catalog completeness data for 80 retail stores across two groups — some rows have null populated_fields values. Can you sort all rows numerically and fill those missing populated_fields using the median, then give me two completeness reports?"},{"title":"Zero-filling required_fields for monthly review","prompt":"I need to prepare my catalog completeness dataset for a monthly review. There are about 120 rows with some null required_fields entries — please order them numerically and fill the missing required_fields with zero so I can see the two cleaned reports."},{"title":"Mean imputation for cross-group completeness analysis","prompt":"Can you take my 200 catalog completeness records across store groups A and B, sort them by row number, and fill any missing populated_fields using the mean? I want two analytical reports on the result."}],"resultDescription":"Returns two analytical reports on the submitted catalog completeness records: one showing rows ordered numerically and one showing the dataset after explicit missing-value imputation (zero, mean, or median) on the selected field (populated_fields or required_fields). Up to 200 rows are processed per call.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, populated_fields, required_fields) cause row rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Invalid method enum (not zero/mean/median) causes a schema error","Invalid field enum (not populated_fields/required_fields) causes a schema error","Payment failure or insufficient USDC balance prevents processing"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 retail catalog completeness records with numeric populated_fields or required_fields and need both sorted row ordering and missing-value imputation in a single call. It is ideal for offline data preparation and quality checks rather than real-time lookups or predictive analytics. Prefer this over generic spreadsheet tools when you want a structured two-report output and programmatic access with deterministic local analytical engines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:12.992Z","isFirstParty":false,"canonicalSlug":"catalog-completeness-numeric-row-ordering-explicit-missing-value-fill-f9133638"}