{"uid":"cap_E3LiusK3NDHWc2tGzaUV9","slug":"process-handoffs-trailing-mean-series-date-by-category-pivot-dd2e9fa6","name":"Process Handoffs — Trailing Mean Series + Date by Category Pivot","description":"Process handoffs — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied process handoffs records (handoff_count, wait_minutes). 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-operations-18-152?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","handoff_count","wait_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"wait_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handoff_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","wait_minutes":1,"handoff_count":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","wait_minutes":2,"handoff_count":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","wait_minutes":3,"handoff_count":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","wait_minutes":4,"handoff_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["handoff_count","wait_minutes"],"type":"string","default":"handoff_count"},"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_8eK9PbkBN3Xvm2hfxug4O","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 a date-by-category pivot table for process handoff records (handoff_count, wait_minutes) supplied by the caller.","exampleAgentPrompt":"Run a trailing mean series with a window of 3 and a date-by-category pivot on my handoff records — the field is wait_minutes, and my data has rows for team groups A and B across October 2026 with their handoff counts and wait times.","exampleUseCases":[{"title":"Support team handoff latency trend","prompt":"I have daily handoff records for our support teams — can you compute a trailing mean with a window of 5 on wait_minutes and also pivot wait times by team group and date so I can spot which teams are slowing down?"},{"title":"Operations handoff volume smoothing","prompt":"Take these handoff_count rows for groups alpha, beta, and gamma across the last 30 days and give me a rolling mean series with a window of 7 plus a date-by-category breakdown of handoff volumes."},{"title":"Cross-team handoff comparison pivot","prompt":"I need to compare handoff counts across three team groups week by week — please run a trailing mean with window 4 on handoff_count and generate a pivot table organized by date and team_group for these 150 records."}],"resultDescription":"Two independent analytical reports: (1) a trailing mean time series for the chosen field (handoff_count or wait_minutes) computed with the specified rolling window, and (2) a date-by-category pivot table grouping the same records by date and team_group, both derived purely from the supplied input rows (up to 200).","failureModes":["Fewer than 1 row or more than 200 rows supplied — request rejected","Window size smaller than 2 or larger than 200 — validation error","Missing required fields (row_id, date, team_group) on any row — schema error","date field does not match YYYY-MM-DD pattern — validation failure","Invalid field enum value (not handoff_count or wait_minutes) — rejected","All values null for the chosen field — empty or degenerate output"],"whenToPreferThis":"Choose this endpoint when you have pre-collected process handoff records (up to 200 rows) and need both a rolling-average time series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline or batch analytical jobs on structured tabular data where no live data lookup, external enrichment, or prediction is needed — just local statistical computation on supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:35.103Z","isFirstParty":false,"canonicalSlug":"process-handoffs-trailing-mean-series-date-by-category-pivot-dd2e9fa6"}