{"uid":"cap_PJ2K-gtxwv3aRmRVyR75-","slug":"shot-schedules-numeric-distribution-numeric-row-ordering-f421d3f7","name":"Shot Schedules — Numeric Distribution + Numeric Row Ordering","description":"Shot schedules — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-13-073?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"}}},"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_l8z6Slmy-_cYiku-NPkGr","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 numeric distribution and row ordering analytics for shot schedule records (planned_hours, actual_hours) on up to 200 supplied rows, returning 2 reports.","exampleAgentPrompt":"Can you run a numeric distribution and row ordering analysis on my shot schedule data? I have rows for asset groups like 'group-a' and 'group-b' with planned_hours and actual_hours for dates in October 2026 — analyze the planned_hours field across all the rows.","exampleUseCases":[{"title":"Film production hours distribution","prompt":"I have my shot schedule for October with planned and actual hours per asset group — can you run a numeric distribution analysis on planned_hours so I can see how hours are spread across all the shots?"},{"title":"Rank shots by actual hours worked","prompt":"Take my shot schedule rows for the past month across asset groups and give me a numeric row ordering report based on actual_hours — I want to see which shots took the most time."},{"title":"Production variance analysis by asset group","prompt":"I need to analyze my shot schedule dataset — about 50 rows covering multiple asset groups with dates in Q4 2026. Run the numeric distribution and row ordering reports on the actual_hours field so I can spot outliers."}],"resultDescription":"Returns 2 analytical reports: (1) a numeric distribution report showing the statistical spread of the selected field (planned_hours or actual_hours) across submitted rows, and (2) a numeric row ordering report ranking rows by the selected field value. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection","Missing required fields (row_id, date, asset_group) returns validation error","Invalid date format (non-YYYY-MM-DD) fails schema validation","Null values in the selected numeric field may affect distribution accuracy","Payment failure via x402 protocol blocks request execution"],"whenToPreferThis":"Choose this endpoint when you have shot schedule data with planned and actual hours and need both a distribution analysis and a row-level numeric ordering in a single $0.01 call. Ideal for film/media production teams analyzing scheduling efficiency across asset groups without needing live data lookup or external prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:48.313Z","isFirstParty":false,"canonicalSlug":"shot-schedules-numeric-distribution-numeric-row-ordering-f421d3f7"}