{"uid":"cap_LDcrONBydKRkDdBuNUz8-","slug":"null-coverage-duplicate-key-report-and-missing-value-fill-b1ce14b0","name":"Null Coverage Duplicate Key Report and Missing Value Fill","description":"Null coverage — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill for supplied null coverage records (missing_values, total_values). 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-03-070?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["missing_values","total_values"],"type":"string","default":"missing_values"},"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_IyHJaht2thkDoXLxi24I8","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":"Generates two local analytical reports for null coverage data: a duplicate row_id detection report and an explicit missing-value fill (zero, mean, or median) for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of null coverage data with row_id, dataset_group, date, missing_values, and total_values — can you run a duplicate key report on them and fill any nulls in the missing_values field using median imputation?","exampleUseCases":[{"title":"Data pipeline null audit","prompt":"I've got 150 rows of dataset coverage records with row IDs, groups, dates, missing_values, and total_values — run a duplicate row_id check on them and fill any null missing_values with the median."},{"title":"Zero-fill missing totals for reporting","prompt":"My null coverage export has some null entries in the total_values column across about 80 rows — detect any duplicate row IDs and fill those nulls with zero so I can pass it downstream."},{"title":"Mean imputation before model training","prompt":"Before I feed my coverage data into a model, I need to check for duplicate row IDs and replace any null missing_values with the column mean — can you run both reports on my 120-row dataset?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report listing any repeated row_id values in the submitted rows, and (2) an explicit missing-value fill report where nulls in the specified field (missing_values or total_values) are replaced using the chosen method (zero, mean, or median). No external lookups or predictions are performed.","failureModes":["Exceeding 200 rows causes rejection — keep input under the maxItems limit","Missing required fields (row_id, date, missing_values, total_values) will cause validation errors","Invalid date format (not YYYY-MM-DD) will fail schema pattern validation","Providing an unsupported fill method outside zero/mean/median will be rejected","Null or missing row_id values will fail minLength:1 validation"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and missing-value imputation together on null coverage data (missing_values/total_values fields) in a single cheap call ($0.01 USDC). Ideal for small-to-medium data quality workflows (up to 200 rows) that don't require live data lookups, ML predictions, or external enrichment — purely local analytical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:19.968Z","isFirstParty":false,"canonicalSlug":"null-coverage-duplicate-key-report-and-missing-value-fill-b1ce14b0"}