{"uid":"cap_uyo31ySMjj5-qQbqqdskS","slug":"time-series-completeness-grouped-numeric-summary-trailing-mean-series-fd4c23ca","name":"Time Series Completeness — Grouped Numeric Summary + Trailing Mean Series","description":"Time series completeness — Grouped numeric summary + Trailing mean series: Grouped numeric summary + 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-16-090?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_Wilbi3bg3xcqvlWb7y1gn","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 (observed vs expected points) by computing grouped numeric summaries and trailing mean series across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you run a grouped numeric summary and trailing mean analysis on my time series completeness data — I have observed and expected point counts for groups 'sensor-a' and 'sensor-b' across daily dates from 2026-10-01 to 2026-10-07, and I want the trailing mean computed with a window of 3?","exampleUseCases":[{"title":"Daily pipeline coverage audit by team","prompt":"I have daily records for two pipeline groups — 'etl-team' and 'ingestion-team' — with observed and expected data point counts from 2026-09-01 to 2026-09-30. Can you give me a grouped numeric summary and a trailing mean series using a window of 5 on the observed_points field?"},{"title":"IoT sensor completeness trend review","prompt":"I'm tracking completeness for three IoT sensor groups over the past two weeks, with observed and expected readings per day. Can you compute both a grouped numeric summary and a rolling mean with window 7 on the expected_points field to see if any group is trending worse?"},{"title":"Weekly data quality report across datasets","prompt":"We have completeness logs for four dataset groups — each row has a date, group name, and how many data points we observed versus expected. Can you run the grouped summary and trailing mean analysis with a window of 4 on observed_points so I can include it in our weekly data quality report?"}],"resultDescription":"Two independent analytical reports: (1) a grouped numeric summary aggregating observed_points and expected_points statistics by dataset_group, and (2) a trailing mean series for the selected field computed with the specified rolling window — both derived entirely from the supplied rows, with no external data lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) on any row","Date strings not matching YYYY-MM-DD format — validation error","Window parameter less than 2 or greater than 200 — rejected","Null values in numeric fields may affect trailing mean computation","Payment of 0.01 USDC not included or rejected — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both grouped descriptive statistics and a rolling mean series for time series completeness data in a single low-cost call. It is purpose-built for observed vs expected point count analysis across named groups and dates, making it ideal for data quality monitoring workflows. Prefer it over general analytics tools when you want two complementary reports (summary + trend) delivered together for up to 200 rows at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:27.024Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-grouped-numeric-summary-trailing-mean-series-fd4c23ca"}