{"uid":"cap_oXquDZV-QIy8ZGeu7KUi-","slug":"time-series-completeness-exact-row-deduplication-secondary-measure-40922879","name":"Time Series Completeness — Exact Row Deduplication + Secondary-Measure Weighted Mean","description":"Time series completeness — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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-16-051?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"}}},"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_zVSsBB5oMD2dyDcdMZ5Ym","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 time series completeness records exactly by row and computes a secondary-measure weighted mean across observed_points and expected_points, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my time series completeness records — up to 200 rows with row_id, dataset_group, date, observed_points, and expected_points — deduplicate them exactly, and compute a secondary-measure weighted mean on the observed_points field, giving me two analytical reports.","exampleUseCases":[{"title":"Daily pipeline completeness audit","prompt":"I have daily completeness logs for my data pipelines with observed and expected point counts per dataset group. Can you deduplicate the rows exactly and give me a weighted mean report on observed_points so I can see where my pipelines are underperforming?"},{"title":"Sensor data gap analysis","prompt":"Here are 150 rows of sensor completeness records by date and sensor group, each with observed_points and expected_points. Please remove any exact duplicate rows and compute a weighted mean on expected_points to help me understand coverage gaps."},{"title":"Multi-group dataset completeness summary","prompt":"I'm tracking completeness across several dataset groups over the past quarter — I have about 180 rows. Can you deduplicate them and compute a secondary-measure weighted mean on observed_points, and send back both reports?"}],"resultDescription":"Returns two analytical reports: (1) a deduplicated row set with exact duplicate rows removed based on all row fields, and (2) a weighted mean calculation for the selected secondary measure (observed_points or expected_points) across the supplied records, including summary statistics per dataset group or overall.","failureModes":["Input array exceeds 200 rows — request is rejected","Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","Dates not matching YYYY-MM-DD pattern are rejected","All rows are duplicates, resulting in a minimal deduplicated output","Null values in observed_points or expected_points may affect weighted mean calculation","Payment of 0.01 USDC not supplied — request fails with 402"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a weighted mean computation on time series completeness data (observed vs expected points) in a single call, without needing external lookups, predictions, or live data. It is ideal for batch post-processing of completeness audit logs, pipeline monitoring exports, or sensor coverage summaries up to 200 rows where two simultaneous analytical reports are needed cost-efficiently at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:49.706Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-exact-row-deduplication-secondary-measure-40922879"}