{"uid":"cap_DELDcJUt5OrNQSpmdrUE3","slug":"dataset-storage-analytics-trailing-mean-series-missing-value-fill-2edf207a","name":"Dataset Storage Analytics — Trailing Mean Series & Missing-Value Fill","description":"Dataset storage — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied dataset storage records (used_mb, row_count). 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-18-154?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_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","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"},"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_yfGC4zE7qyhf2CpRn3-p5","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 moving-average series and fills missing values in dataset storage records (used_mb, row_count) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Run a trailing mean with a window of 3 and fill any missing used_mb values using median for these dataset storage records — I have about 50 rows grouped by dataset_group with dates from 2026-10-01 to 2026-11-20.","exampleUseCases":[{"title":"Smoothing storage usage over time","prompt":"I have 120 rows of daily dataset storage records with used_mb values for two groups — can you compute a trailing mean with a window of 7 and fill any nulls with zero so I can see smoothed storage trends?"},{"title":"Imputing missing row counts before reporting","prompt":"My row_count data has some missing entries across 80 records. Can you fill those gaps using the median method and also give me a trailing mean series with a window of 5?"},{"title":"Multi-group storage trend analysis","prompt":"I've got storage records for three dataset groups over 60 dates. Please run a trailing mean with window size 4 on used_mb and use mean imputation for any missing values — I need both reports."}],"resultDescription":"Returns two analytical reports for the supplied dataset storage rows: (1) a trailing moving-average series computed over the specified window for the chosen field (used_mb or row_count), and (2) the same series with missing values explicitly filled using the chosen method (zero, mean, or median). All computations are performed locally without any external lookups or predictions.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, date, dataset_group) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Window size outside 2–200 range — rejected","Field value outside allowed numeric range — validation error","Empty rows array — rejected"],"whenToPreferThis":"Choose this endpoint when you need both rolling/trailing mean smoothing and missing-value imputation on dataset storage metrics (used_mb or row_count) in a single call, for up to 200 rows, without requiring any external data source or live system integration. It is ideal for preprocessing storage time-series data before visualization or downstream analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:33.721Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-trailing-mean-series-missing-value-fill-2edf207a"}