{"uid":"cap_ls1QPvRkFveuRFIhL7rdo","slug":"time-series-completeness-grouped-numeric-summary-daily-sum-series-91f1c400","name":"Time Series Completeness — Grouped Numeric Summary + Daily Sum Series","description":"Time series completeness — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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-16-089?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_vzPL3ktLQt5gGFRskbcmY","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 data by producing a grouped numeric summary and a daily sum series for observed vs. expected data points, across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and daily sum series on my time series completeness data? I have rows for two groups — group-a and group-b — across dates 2026-10-01 to 2026-10-04, with observed_points values like 10, 20, 15, 30 and expected_points like 1, 2, 3, 4. Use observed_points as the field to analyze.","exampleUseCases":[{"title":"IoT sensor coverage audit by device group","prompt":"I have daily completeness records for two IoT device groups — 'sensors-north' and 'sensors-south' — showing observed vs expected readings for each day in October 2026. Can you give me a grouped numeric summary and daily sum series for the observed_points field so I can see which group is missing the most data?"},{"title":"Data pipeline completeness dashboard","prompt":"My ETL pipeline tracks observed and expected records per day for three dataset groups: 'raw-events', 'processed-events', and 'aggregated-events'. I have 90 rows of completeness data. Can you compute both a grouped numeric summary and a daily sum series on the expected_points field so I can spot gaps?"},{"title":"Multi-tenant SLA completeness reporting","prompt":"I need to report on data completeness for 5 client groups across the past month — I have up to 150 rows with date, dataset_group, observed_points, and expected_points. Please generate a grouped numeric summary and daily sum series using observed_points so I can share the completeness breakdown with each tenant."}],"resultDescription":"Returns two analytical reports computed from the supplied rows: (1) a grouped numeric summary of the selected field (e.g. observed_points) broken down by dataset_group, and (2) a daily sum series showing totals per date. Both reports use local analytical engines with no external data access, covering up to 200 input rows.","failureModes":["Fewer than 1 row supplied — minItems constraint violation","More than 200 rows supplied — maxItems constraint violation","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) on any row","Invalid date format not matching YYYY-MM-DD pattern","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value (must be 'observed_points' or 'expected_points')","Payment failure — 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you need both a grouped statistical summary and a daily aggregate series for time series completeness data (observed vs. expected points) in a single low-cost call. It is ideal for data quality monitoring, pipeline audits, and SLA reporting across multiple dataset groups without requiring any external data lookups or predictions. Prefer it over general-purpose analytics when your data fits the completeness schema (row_id, dataset_group, date, observed_points, expected_points) and you need exactly these two report types for up to 200 rows at $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:39.938Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-grouped-numeric-summary-daily-sum-series-91f1c400"}