{"uid":"cap_CTVH1OT6xUXSmBix4PGO2","slug":"time-series-completeness-daily-sum-series-date-by-category-pivot-4916d1eb","name":"Time Series Completeness — Daily Sum Series + Date by Category Pivot","description":"Time series completeness — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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-16-143?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_QbPTwgJhP3UwwN9_GH6M6","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":"Analyzes time series completeness records by producing a daily sum series report and a date-by-category pivot table for observed vs expected data points.","exampleAgentPrompt":"Can you run a daily sum series and date-by-category pivot on my completeness records? I have up to 50 rows with fields: row_id, dataset_group, date (YYYY-MM-DD), observed_points, and expected_points — I want to analyze observed_points.","exampleUseCases":[{"title":"Monitoring data pipeline coverage","prompt":"I have daily records for two dataset groups — 'pipeline-A' and 'pipeline-B' — with observed and expected data points for each day in October 2026. Can you give me a daily sum series and a pivot table by group so I can see where my pipeline has gaps?"},{"title":"Auditing sensor data completeness","prompt":"I've collected completeness records from my IoT sensors across 3 categories over the past month. Can you compute the daily totals for observed_points and pivot those by sensor category so I can spot which days had the worst coverage?"},{"title":"Reporting on ETL job completeness","prompt":"My ETL jobs log observed_points and expected_points for each dataset group daily. Can you generate a daily sum series and a date-by-group pivot for my completeness logs so I can share a summary with the data engineering team?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum series aggregating the selected field (observed_points or expected_points) across all rows per day, and (2) a date-by-category pivot table breaking down the selected field by dataset_group across dates. Both are computed locally from the supplied rows with no external data access.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, dataset_group, observed_points, expected_points) cause row-level errors","Malformed date strings not matching YYYY-MM-DD pattern are rejected","numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregate time series and a category pivot for completeness metrics (observed vs expected points) in a single call, with up to 200 rows, at minimal cost ($0.01 USDC for both reports). Best suited for offline batch analysis of pre-collected completeness logs rather than real-time monitoring or prediction tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:06.375Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-daily-sum-series-date-by-category-pivot-4916d1eb"}