{"uid":"cap_FSJcb0omdYa6M6LH1Dznw","slug":"time-series-completeness-category-frequencies-trailing-mean-series-0d94f54d","name":"Time Series Completeness — Category Frequencies + Trailing Mean Series","description":"Time series completeness — Category frequencies + Trailing mean series: Category frequencies + Trailing mean 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-16-103?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_ZClDdSRAbbdJqmRKiIfDc","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 category frequencies and a trailing mean series across up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"Can you run a category frequency breakdown and trailing mean analysis (window size 7) on my time series completeness data — I have rows with dataset_group, date, observed_points, and expected_points — and analyze the observed_points field?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I have daily completeness records for two dataset groups across October — each row has a date, group name, and observed vs expected point counts. Can you compute the category frequencies per group and a trailing mean (window of 3) on observed_points so I can see where my pipeline is dropping data?"},{"title":"Rolling average for sensor coverage monitoring","prompt":"I'm tracking sensor coverage completeness with observed_points and expected_points for each day across several sensor groups. Can you give me a category frequency report and a 5-day trailing mean series on observed_points so I can spot trends in coverage drops?"},{"title":"Expected data delivery frequency check","prompt":"I need to audit my vendor data deliveries — I have up to 150 rows with dataset_group, date, observed_points, and expected_points. Can you compute category frequencies and a trailing mean with window 4 on expected_points to see which groups are most and least consistent?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency breakdown showing how often each dataset_group appears across the supplied rows, and (2) a trailing mean series computed over the specified rolling window for the selected numeric field (observed_points or expected_points). Both reports are derived locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum row limit","Invalid date format (must match YYYY-MM-DD)","Missing required fields (row_id, dataset_group, date, observed_points, expected_points)","Window size less than 2 or greater than 200 — out of allowed range","Numeric field values outside allowed range (-1e12 to 1e12)","Invalid field enum value — must be 'observed_points' or 'expected_points'"],"whenToPreferThis":"Choose this endpoint when you need two complementary views on time series completeness data — a categorical frequency summary by group plus a rolling/trailing mean series — delivered together in a single paid call. It is ideal for lightweight, local analytical computation on up to 200 rows of observed vs expected point counts without needing external data connections, predictions, or live lookups. Prefer it over more complex analytics platforms when cost-efficiency and self-contained computation on supplied data are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:14.815Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-category-frequencies-trailing-mean-series-0d94f54d"}