{"uid":"cap_MvikkpONzUrFY-ru3fiwd","slug":"shot-schedules-string-normalisation-and-trailing-mean-series-47619009","name":"Shot Schedules String Normalisation and Trailing Mean Series","description":"Shot schedules — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied shot schedules records (planned_hours, actual_hours). 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-creative-13-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","planned_hours","actual_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"actual_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"planned_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","actual_hours":1,"planned_hours":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","actual_hours":2,"planned_hours":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","actual_hours":3,"planned_hours":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","actual_hours":4,"planned_hours":30}],"maxItems":200,"minItems":1},"field":{"enum":["planned_hours","actual_hours"],"type":"string","default":"planned_hours"},"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_mp1V70Ql_6oPY4RIwoAui","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 shot schedule records (planned_hours, actual_hours) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Analyze my shot schedule data — I have 50 rows with planned_hours and actual_hours fields — run string normalisation and a trailing mean series on planned_hours using a window of 7, and give me both reports.","exampleUseCases":[{"title":"Film production hours trend analysis","prompt":"I have 120 rows of daily shot schedule data with planned and actual hours across two asset groups. Can you run string normalisation and a trailing mean series on actual_hours with a window of 5 so I can see the rolling trend?"},{"title":"Planned hours deviation smoothing","prompt":"Here are 80 shot schedule records for our TV episode shoot. Run the string normalisation and trailing mean analysis on planned_hours with a window of 10 — I want to see both reports to understand how our schedule drifted."},{"title":"Asset group hours pattern review","prompt":"I've got 200 shot schedule rows tagged with asset groups and dates. Please apply string normalisation and trailing mean series to actual_hours using a window of 3 and return both analytical reports."}],"resultDescription":"Two analytical reports: (1) a string normalisation report over the specified field in the shot schedule rows, and (2) a trailing mean series (rolling average) over the same field using the specified window size, both computed locally without external lookups.","failureModes":["More than 200 rows submitted — endpoint enforces maxItems:200","Missing required fields (row_id, date, planned_hours, actual_hours) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","Window size outside range 2–200 causes schema validation failure","Null values in the target numeric field may affect trailing mean computation","Invalid field selector (not 'planned_hours' or 'actual_hours') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have shot schedule tabular data with planned and actual hours and need both string normalisation and rolling mean analysis in a single call at low cost ($0.01 USDC for two reports). Ideal for production scheduling analytics on batches up to 200 rows where no live data lookup or external predictions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:32.273Z","isFirstParty":false,"canonicalSlug":"shot-schedules-string-normalisation-and-trailing-mean-series-47619009"}