{"uid":"cap_Zf0N2Lms5LBt2rB45aCl0","slug":"time-series-completeness-daily-sum-trailing-mean-analytics-47cb503e","name":"Time Series Completeness — Daily Sum + Trailing Mean Analytics","description":"Time series completeness — Daily sum series + Trailing mean series: Daily sum series + 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-16-136?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_pvr-bPHd6w5J1IJdFQ4gY","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 daily sum series and a trailing mean series for time series completeness records (observed vs expected data points) over up to 200 rows.","exampleAgentPrompt":"Can you run a daily sum series and trailing mean series (window of 7) on my completeness records — I have observed_points and expected_points for each date in group-a and group-b — up to 50 rows?","exampleUseCases":[{"title":"Pipeline data gap audit","prompt":"I have 90 days of observed vs expected data point counts for my ETL pipeline split across two dataset groups. Can you compute the daily sum and a trailing mean with a window of 7 for the observed_points field so I can spot where coverage dropped?"},{"title":"Sensor coverage completeness review","prompt":"I want to check completeness for my IoT sensor network — I have daily observed_points and expected_points for each sensor group over the last 30 days. Run a daily sum series and a trailing mean with window 5 on expected_points so I can see coverage trends."},{"title":"Data quality monitoring dashboard","prompt":"For my weekly data quality review, can you take these 120 rows of observed vs expected data point records across multiple dataset groups and produce both a daily sum series and a trailing mean series with a window of 14 on observed_points?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the chosen field (observed_points or expected_points) by date, and (2) a trailing mean series using the specified window size — both computed from the supplied completeness records without any external lookups or live data.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, observed_points, expected_points) in any row","Invalid date format (must be YYYY-MM-DD)","Window size outside allowed range (2–200)","Numeric values outside allowed bounds (±1,000,000,000,000)","Payment not included or insufficient USDC balance"],"whenToPreferThis":"Use this endpoint when you need both a daily aggregated sum and a rolling/trailing mean for time series completeness data (observed vs expected points) in a single $0.01 call covering up to 200 rows — ideal for lightweight data quality audits, ETL pipeline monitoring, or sensor coverage reviews where no external data enrichment or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:55.090Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-daily-sum-trailing-mean-analytics-47cb503e"}