{"uid":"cap_LLg2h5onPfEbx5AcNFuY3","slug":"dataset-storage-analytics-trailing-mean-series-adjacent-row-changes-71a9f476","name":"Dataset Storage Analytics: Trailing Mean Series + Adjacent Row Changes","description":"Dataset storage — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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-18-146?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"},"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_-l6pkb3XtrZogvoVn-frE","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 adjacent row-to-row change analysis for dataset storage metrics (used_mb, row_count) over up to 200 supplied rows.","exampleAgentPrompt":"Can you run a trailing mean and adjacent row change analysis on my dataset storage records? I have rows with used_mb and row_count fields — use used_mb as the target field and a window size of 3.","exampleUseCases":[{"title":"Storage growth trend monitoring","prompt":"I have 150 daily storage snapshots for my datasets with used_mb values — can you compute the trailing mean with a window of 7 and show me where the biggest adjacent row jumps happened?"},{"title":"Row count change detection","prompt":"Run the trailing mean series and adjacent row changes report on my dataset records using row_count as the field and a window of 5 — I want to spot where counts shifted sharply between consecutive days."},{"title":"Multi-group storage comparison","prompt":"I've got storage records across two dataset groups, group-a and group-b, with dates and used_mb values — can you compute the trailing mean with window 4 and adjacent deltas so I can compare trends?"}],"resultDescription":"Returns two analytical reports: (1) a trailing mean series showing the rolling average of the chosen field (used_mb or row_count) over the specified window size for each row, and (2) adjacent row changes showing the delta between consecutive rows for that field. Results are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","Invalid date format not matching YYYY-MM-DD pattern — rejected by schema","Window size less than 2 or greater than 200 — out of allowed range","Missing required fields (row_id, dataset_group, date) on any row — validation error","Field value not in enum ['used_mb','row_count'] — rejected","Non-numeric or out-of-range values for used_mb or row_count"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset storage records and need both a rolling/trailing mean trend series and adjacent row-to-row change deltas computed together in a single low-cost call. It is purpose-built for storage metric analytics (used_mb, row_count) with no external dependencies, making it ideal for offline/batch analysis of historical storage snapshots.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:44:40.096Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-trailing-mean-series-adjacent-row-changes-71a9f476"}