{"uid":"cap_EP2dovMXe9y-5vSkxH3fH","slug":"event-coverage-string-normalisation-and-trailing-mean-series-a263f133","name":"Event Coverage String Normalisation and Trailing Mean Series","description":"Event coverage — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied event coverage records (covered_sessions, planned_sessions). 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-11-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","covered_sessions","planned_sessions"],"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},"covered_sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"planned_sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","covered_sessions":10,"planned_sessions":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","covered_sessions":20,"planned_sessions":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","covered_sessions":15,"planned_sessions":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","covered_sessions":30,"planned_sessions":4}],"maxItems":200,"minItems":1},"field":{"enum":["covered_sessions","planned_sessions"],"type":"string","default":"covered_sessions"},"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_1lR65tRalXc_8P9_EpvI6","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":"Runs string normalisation and trailing mean series analysis on event coverage data (covered_sessions, planned_sessions) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a trailing mean series with a window of 3 on my event coverage data? I have rows for channel groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 with covered_sessions values of 10, 20, 15, and 30, and I want the analysis on the covered_sessions field.","exampleUseCases":[{"title":"Smoothing broadcast coverage session data","prompt":"I have daily event coverage records for two broadcast channels over the past month — can you normalise the string fields and compute a trailing mean with a window of 7 for covered_sessions so I can see the smoothed trend?"},{"title":"Planned vs covered session trend review","prompt":"Run a trailing mean series with window size 4 on the planned_sessions field for my event scheduling data — I have about 50 rows with channel groups and dates from 2025-01-01 onward, and I also need the strings normalised."},{"title":"Weekly channel group coverage analytics","prompt":"Can you analyse these 120 event coverage rows by normalising their string values and generating a trailing mean series with a window of 5 on covered_sessions? The rows span multiple channel groups across weekly dates in 2026."}],"resultDescription":"Two analytical reports: (1) a string-normalised version of the supplied event coverage records (channel_group and string fields cleaned/standardised), and (2) a trailing mean series computed over the chosen numeric field (covered_sessions or planned_sessions) using the specified rolling window size, returned for up to 200 input rows.","failureModes":["Missing required fields (row_id, date, channel_group, covered_sessions, planned_sessions) returns validation error","Date strings not matching YYYY-MM-DD pattern rejected by schema","Input array exceeding 200 rows rejected","Window size outside range 2–200 returns error","Null numeric values may affect trailing mean calculation for affected rows","Invalid field enum value (not 'covered_sessions' or 'planned_sessions') causes rejection","Payment failure via x402 protocol results in 402 response and no data returned"],"whenToPreferThis":"Choose this endpoint when you have event coverage tabular data with session counts (covered and planned) and need both string normalisation cleanup and a rolling/trailing mean smoothing of a numeric field in a single call. It is well-suited for media, broadcast, or scheduling analytics workflows where you need to clean string columns and compute windowed averages together without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:21.360Z","isFirstParty":false,"canonicalSlug":"event-coverage-string-normalisation-and-trailing-mean-series-a263f133"}