{"uid":"cap__rTUBwWCszgggiJkBkuRk","slug":"schema-conformity-date-by-category-pivot-with-missing-value-fill-3be7b659","name":"Schema Conformity Date-by-Category Pivot with Missing-Value Fill","description":"Schema conformity — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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-02-189?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"},"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_jPoW1EeQgUDuElTKcZPWF","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":"Pivots schema conformity records (valid_records, checked_records) by date and category, with explicit missing-value fill using zero, mean, or median strategy","exampleAgentPrompt":"Take my schema conformity records — up to 200 rows with dataset_group, date, valid_records, and checked_records — and produce two reports: a date-by-category pivot for valid_records and fill any missing values using the median method.","exampleUseCases":[{"title":"Data quality audit pivot for reporting","prompt":"I have 150 rows of schema conformity data with fields date, dataset_group, valid_records, and checked_records. Can you pivot them by date and category and fill any missing valid_records values using the median so I can see quality trends across groups?"},{"title":"Missing-value imputation for conformity metrics","prompt":"My checked_records dataset has nulls across some date-group combinations. Can you pivot the data by date and dataset_group and fill those gaps with zero so the report is complete?"},{"title":"Dual-field conformity pivot for compliance review","prompt":"I need two pivot reports from my schema conformity records — one for valid_records and one for checked_records — organized by date and category, with any missing values filled using the mean. I have about 80 rows to process."}],"resultDescription":"Returns two analytical reports: a date-by-category pivot table for the selected field (valid_records or checked_records), and an explicit missing-value fill report applying the chosen strategy (zero, mean, or median), covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, dataset_group, date) cause validation errors","Null numeric values with no fill strategy fallback may produce incomplete output","Field or method enum values outside allowed options return an error"],"whenToPreferThis":"Choose this endpoint when you need to reshape schema conformity or data quality records into a date-by-category pivot and simultaneously impute missing numeric values — all in a single, low-cost call. It is specifically designed for valid_records and checked_records metrics and supports two reports per call, making it efficient for compliance or audit workflows with up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:43.513Z","isFirstParty":false,"canonicalSlug":"schema-conformity-date-by-category-pivot-with-missing-value-fill-3be7b659"}