{"uid":"cap_1K9kYtKmc_rJxnA-OpX8-","slug":"local-event-calendars-trailing-mean-series-adjacent-row-changes-7bb362a6","name":"Local Event Calendars — Trailing Mean Series & Adjacent Row Changes","description":"Local event calendars — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes for supplied local event calendars records (listed_events, updated_events). 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-news-19-146?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","listed_events","updated_events"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"listed_events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"updated_events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","listed_events":10,"updated_events":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","listed_events":20,"updated_events":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","listed_events":15,"updated_events":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","listed_events":30,"updated_events":4}],"maxItems":200,"minItems":1},"field":{"enum":["listed_events","updated_events"],"type":"string","default":"listed_events"},"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_EiQhtcGMRLvV2OC-tQ_O1","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 and adjacent row changes for local event calendar metrics (listed_events, updated_events) across up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"Can you compute a trailing mean series and adjacent row changes for my local event calendar data — I have 120 rows with listed_events and updated_events fields, dates from 2026-10-01, grouped by channel, using a rolling window of 7? I want both reports for the listed_events field.","exampleUseCases":[{"title":"Event listing trend detection","prompt":"I have 80 rows of daily local event calendar data with listed_events counts per channel group from January through March. Can you run a trailing mean with a window of 14 and show me the adjacent row-over-row changes for listed_events so I can spot any unusual spikes or drops?"},{"title":"Updated events momentum analysis","prompt":"I want to understand how event update activity is changing week over week across my channel groups. I have 150 rows of calendar data — can you compute a rolling mean series with window size 5 and the adjacent changes for the updated_events field?"},{"title":"Multi-group calendar performance review","prompt":"We have two channel groups, group-a and group-b, with 60 rows of daily event calendar records. Can you generate the trailing mean series and adjacent row changes for listed_events using a window of 4, so I can compare activity patterns between the groups?"}],"resultDescription":"Two analytical reports: (1) a trailing mean series showing the rolling average of the selected field (listed_events or updated_events) over the specified window, and (2) adjacent row changes showing the delta between consecutive rows — both computed against the supplied dataset of up to 200 rows, segmented by channel_group and date.","failureModes":["More than 200 rows submitted — request rejected with max items exceeded error","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Window size larger than number of rows leads to insufficient data for computation","Null or missing required fields (row_id, date) cause row rejection","Invalid field enum value other than 'listed_events' or 'updated_events' causes parameter error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected local event calendar time-series data and need offline statistical summaries — specifically trailing moving averages and adjacent row deltas — without requiring live data lookup, external enrichment, or prediction. It is best suited for batch analytical workflows on small-to-medium datasets (up to 200 rows) where cost efficiency ($0.01 for two reports) matters and the two specific report types (trailing mean + row changes) are the desired output.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:23.487Z","isFirstParty":false,"canonicalSlug":"local-event-calendars-trailing-mean-series-adjacent-row-changes-7bb362a6"}