{"uid":"cap_2SCSmmDgzll3RhREGGKnx","slug":"record-routing-trailing-mean-series-explicit-missing-value-fill-00ccbc13","name":"Record Routing Trailing Mean Series + Explicit Missing-Value Fill Analytics","description":"Record routing — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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-19-154?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"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},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"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_hdftRbUVWDrukUS2Yi7Kv","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 trailing mean time-series analysis and fills missing values for accepted_records and rejected_records routing data, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Compute trailing mean series and fill any missing values for my record routing data — here are 5 rows with dates, accepted_records and rejected_records fields, use a window of 3 and fill gaps using the median method, and run the analysis on accepted_records.","exampleUseCases":[{"title":"Smoothing data ingestion pipeline metrics","prompt":"I have a week of daily record routing logs with accepted_records and rejected_records counts, some days have nulls — can you compute a trailing mean with a window of 4 and fill missing values using the mean, focusing on accepted_records?"},{"title":"Detecting rejection spikes in ETL monitoring","prompt":"Run a trailing mean series on this rejected_records dataset over a window of 7 days and fill any missing entries with zero so I can spot unusual spikes in my ETL pipeline rejections."},{"title":"Smoothing multi-group routing quality report","prompt":"I've got routing records across two dataset groups over the past month, some values are missing — apply a trailing mean window of 5 and median missing-value fill to the accepted_records field and give me the two analytical reports."}],"resultDescription":"Returns two analytical reports: (1) a trailing mean series for the specified field (accepted_records or rejected_records) over the given window, and (2) an explicit missing-value-filled version of the same series using the chosen method (zero, mean, or median). Results cover all submitted rows (up to 200) with their row_id and date context preserved.","failureModes":["Fewer than 1 or more than 200 rows submitted returns a validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Window size outside 2–200 range is rejected","Unknown fill method or field enum value causes validation failure","Null row_id or missing required fields triggers schema error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical computation — specifically trailing moving averages and missing-value imputation — on record routing data (accepted/rejected counts) without any external data lookups, predictions, or live integrations. Ideal for data quality monitoring pipelines, ETL diagnostics, and time-series smoothing tasks on small-to-medium datasets up to 200 rows. At $0.01 USDC for two reports, it is cost-effective for routine analytical batch jobs on routing metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:12.748Z","isFirstParty":false,"canonicalSlug":"record-routing-trailing-mean-series-explicit-missing-value-fill-00ccbc13"}