{"uid":"cap_gwB0uYAGvDqasRjXJnPTc","slug":"time-series-completeness-exact-row-deduplication-explicit-missing-2449feae","name":"Time Series Completeness — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Time series completeness — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied time series completeness records (observed_points, expected_points). 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-16-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","observed_points","expected_points"],"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},"expected_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_points","expected_points"],"type":"string","default":"observed_points"},"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_kJEPu8xUHv17it-Ex7pgs","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":"Deduplicates exact rows and fills missing values (zero, mean, or median) in time series completeness records containing observed and expected point counts, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you deduplicate exact rows and fill any missing observed_points values using median imputation in my time series completeness dataset — it has records for groups A and B from October 2026, up to 200 rows?","exampleUseCases":[{"title":"Pipeline completeness gap imputation","prompt":"I have a time series dataset tracking observed vs expected data points per day for two groups — some rows have null observed_points. Can you fill those missing values using the mean and also remove any exact duplicate rows? I have about 150 rows spanning last quarter."},{"title":"Multi-group deduplication audit","prompt":"My completeness tracking data for dataset groups 'sales' and 'inventory' has some duplicate entries that crept in from a pipeline bug. Can you deduplicate the exact duplicate rows and fill any missing expected_points using zero, then give me the two reports?"},{"title":"Data quality cleanup before reporting","prompt":"Before I send my monthly completeness report, can you clean up this time series data — remove exact duplicates and fill any nulls in the observed_points column using median — for all 80 daily records across my dataset groups?"}],"resultDescription":"Returns 2 local analytical reports: (1) a deduplicated version of the input rows with exact duplicate records removed, and (2) a version of the data where null values in the specified field (observed_points or expected_points) have been filled using the chosen method (zero, mean, or median). No external lookups or live data retrieval is performed.","failureModes":["Exceeding 200 rows triggers a validation error","Missing required fields (row_id, date, observed_points, expected_points) cause row rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Invalid fill method or field enum value causes request failure"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication AND missing-value imputation on time series completeness data (observed vs expected point counts) in a single call, for up to 200 rows, with no need for live data lookups or external integrations. It is ideal for data pipeline cleanup steps, pre-reporting data quality passes, or batch analytical preparation where local computation suffices and cost must be minimal ($0.01 USDC for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:58.383Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-exact-row-deduplication-explicit-missing-2449feae"}