{"uid":"cap_dKv66BBlJCWP1YrS2TIyV","slug":"time-series-completeness-grouped-numeric-summary-secondary-measure-2c220394","name":"Time Series Completeness — Grouped Numeric Summary & Secondary-Measure Weighted Mean","description":"Time series completeness — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + 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-16-096?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_SeBFmkVk5zx_nE-_qFXZk","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":"Computes a grouped numeric summary and a secondary-measure weighted mean for time series completeness records (observed vs. expected data points), processing up to 200 rows across two bundled analytical reports.","exampleAgentPrompt":"Can you run a grouped numeric summary and weighted mean on my time series completeness data — I have up to 50 rows with row IDs, dataset groups, dates, observed_points, and expected_points — and use observed_points as the primary field?","exampleUseCases":[{"title":"Daily pipeline completeness audit","prompt":"I have a list of daily records for my data pipelines — each row has a group name, a date, how many data points we actually observed, and how many we expected. Can you group them and give me a numeric summary plus a weighted mean of observed_points across these groups?"},{"title":"Multi-dataset coverage comparison","prompt":"We track data completeness across several dataset groups over the past month. Each record has an observed count and an expected count per date. Can you compute a grouped summary and a secondary-measure weighted mean so I can see which groups are underperforming?"},{"title":"QA report on sensor data ingestion","prompt":"Our sensor ingestion pipeline logs expected vs. observed readings per sensor group each day. I have about 120 rows — can you produce a grouped numeric summary and weighted mean based on expected_points so I can share a completeness QA report with my team?"}],"resultDescription":"Returns two bundled analytical reports: (1) a grouped numeric summary breaking down statistics (e.g. count, min, max, mean) for observed_points and expected_points segmented by dataset_group; and (2) a secondary-measure weighted mean computation using the selected primary field as weights. Results cover all submitted rows (up to 200) without any external lookups or live data enrichment.","failureModes":["Exceeding 200 rows causes rejection — keep input within maxItems limit","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) per row triggers validation error","Invalid date format (must match YYYY-MM-DD pattern) causes schema validation failure","Null values in observed_points or expected_points may affect weighted mean computation","Submitting fewer than 1 row (empty array) violates minItems constraint","Values outside the allowed numeric range (±1,000,000,000,000) will be rejected"],"whenToPreferThis":"Choose this endpoint when you need grouped aggregate statistics and a weighted mean computed locally (no external APIs) on time series completeness data with observed vs. expected point counts, and you want two analytical reports bundled in a single low-cost call ($0.01 USDC for up to 200 rows). Prefer it over generic analytics tools when your data is already structured with group labels, dates, and completeness measures and you need a fast, serverless batch summary without setting up a data warehouse query.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:32.933Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-grouped-numeric-summary-secondary-measure-2c220394"}