{"uid":"cap_Sms4BBR4ziWfE7EKgMu-A","slug":"time-series-completeness-grouped-numeric-summary-category-frequencies-e35afec3","name":"Time Series Completeness — Grouped Numeric Summary + Category Frequencies","description":"Time series completeness — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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-16-086?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_ojJ2u0aY2YmUIU92kIRtV","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 computing grouped numeric summaries and category frequency distributions for observed_points and expected_points across dataset groups.","exampleAgentPrompt":"I have up to 200 rows of time series completeness records with dataset groups like 'sensor-east' and 'sensor-west', each with a date, observed_points, and expected_points — can you run a grouped numeric summary and category frequency report on the observed_points field?","exampleUseCases":[{"title":"IoT sensor coverage gap analysis","prompt":"I have daily completeness logs for my IoT sensors across two groups, 'factory-floor' and 'warehouse', from October 2026 — each row has observed_points and expected_points. Can you give me a grouped numeric summary and category frequency breakdown of observed_points so I can see where coverage is worst?"},{"title":"ETL pipeline data quality audit","prompt":"My ETL pipeline logs show observed vs expected data points per pipeline group over the last month — I have about 150 rows with group names like 'orders-pipeline' and 'events-pipeline'. Run both reports (grouped stats + category frequencies) on the expected_points field so I can audit completeness."},{"title":"Multi-dataset completeness comparison","prompt":"I want to compare completeness across 4 dataset groups in my data lake — each row has a date, row_id, dataset_group, observed_points, and expected_points. Can you summarize the observed_points field with a grouped numeric summary and show me the category frequency distribution across those groups?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary (e.g. mean, min, max, count, std dev) of the selected numeric field (observed_points or expected_points) broken down by dataset_group, and (2) a category frequency distribution showing how often each dataset_group appears in the supplied records. Covers up to 200 input rows.","failureModes":["Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Empty rows array (minItems:1 not met) returns an error","Invalid field enum value (not 'observed_points' or 'expected_points') fails validation"],"whenToPreferThis":"Choose this endpoint when you have pre-collected time series completeness records (observed vs expected data points) grouped by dataset category and need both a statistical numeric summary and a frequency count of categories — all in one $0.01 call. Ideal for offline/batch data quality audits where no live lookup or external data is needed, and when your dataset is 200 rows or fewer.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:13.427Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-grouped-numeric-summary-category-frequencies-e35afec3"}