{"uid":"cap_SokaKQxmKtRoZRpKI1qYP","slug":"dataset-partition-sizes-trailing-mean-series-explicit-missing-value-849ef52a","name":"Dataset Partition Sizes — Trailing Mean Series + Explicit Missing-Value Fill","description":"Dataset partition sizes — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied dataset partition sizes records (row_count, file_mb). 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-07-154?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","row_count","file_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"file_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","file_mb":1,"row_count":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","file_mb":2,"row_count":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","file_mb":3,"row_count":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","file_mb":4,"row_count":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["row_count","file_mb"],"type":"string","default":"row_count"},"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_f3ujxiU-QWqvk95zw9Iqb","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 trailing mean time series and fills missing values for dataset partition size records (row_count or file_mb) over up to 200 rows.","exampleAgentPrompt":"Can you compute a trailing mean series with a window of 3 and fill any missing values using the median method for these partition records — I want to analyze row_count across groups?","exampleUseCases":[{"title":"Smoothing row counts for data pipeline monitoring","prompt":"I have daily partition records for my data pipeline with row counts and some nulls — can you run a trailing mean with a window of 5 and fill the missing row_count values using the mean method?"},{"title":"Detecting file size growth trends across dataset groups","prompt":"Can you compute a 4-period trailing mean on file_mb for my dataset partitions and fill any gaps with zero so I can spot storage growth trends over the last few months?"},{"title":"Preparing cleaned metrics for a data quality report","prompt":"I need to clean up my partition size data before building a quality report — please fill missing row_count values using median and give me the trailing mean series with a window of 2."}],"resultDescription":"Two independent analytical reports covering: (1) a trailing mean time series computed over the specified window for the chosen field (row_count or file_mb), and (2) an explicit missing-value fill for the same field using the specified method (zero, mean, or median). Results are derived entirely from the supplied rows with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Window size outside 2–200 range — validation error","All values null for the chosen field — fill/mean computation may be undefined","Field value outside allowed numeric range — validation error","Missing required row properties (row_id, dataset_group, date) — validation error"],"whenToPreferThis":"Use this endpoint when you have up to 200 dataset partition size records (row counts or file sizes in MB) and need both a trailing moving average series and explicit null/missing-value imputation in a single call, without any external data fetching, prediction, or professional assessment. Ideal for data engineers or analysts who want lightweight, deterministic time-series smoothing and gap-filling on partition metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:39.283Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-trailing-mean-series-explicit-missing-value-849ef52a"}