{"uid":"cap_W9K5JI36baXOtDvQE8nIQ","slug":"shot-schedules-duplicate-key-report-adjacent-row-changes-22740ba9","name":"Shot Schedules — Duplicate Key Report + Adjacent Row Changes","description":"Shot schedules — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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-13-062?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_lzcrdxQskL7gT1ky6p54G","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":"Analyzes shot schedule rows to produce two data quality reports: a duplicate key report and an adjacent row changes report for planned_hours or actual_hours.","exampleAgentPrompt":"Can you run a duplicate key report and adjacent row changes check on my shot schedule data? Here are my rows with row_id, asset_group, date, planned_hours, and actual_hours — check the planned_hours field across up to 200 rows.","exampleUseCases":[{"title":"Audit duplicate keys in production schedule","prompt":"I have a shot schedule CSV with columns row_id, asset_group, date, planned_hours, and actual_hours — can you run a duplicate key report and also flag where planned_hours changed between adjacent rows? I'll paste the data now."},{"title":"Spot consecutive hour changes for VFX shots","prompt":"Check my VFX shot schedule for adjacent row changes in actual_hours — I want to see where the hours jumped or dropped between consecutive entries. Also flag any duplicate row IDs in the dataset."},{"title":"Validate schedule data before pipeline handoff","prompt":"Before I hand off this shot schedule to the render pipeline, can you run both a duplicate key check and an adjacent row changes analysis on the planned_hours field? There are about 150 rows in the dataset."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows in the input that share the same key fields, and (2) an adjacent row changes report showing where the selected field (planned_hours or actual_hours) changed value between consecutive rows. Both reports are derived purely from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, planned_hours, actual_hours) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null values in the selected numeric field may affect adjacent row change detection","Empty rows array returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have shot schedule tabular data and need two specific data quality analyses — duplicate key detection and adjacent row change tracking — run together in a single cheap call ($0.01 USDC). It is ideal for creative production pipelines where shot schedules are exported as row-oriented records and need validation before handoff. Prefer it over generic data tools when your data matches the shot schedule schema (row_id, asset_group, date, planned_hours, actual_hours) and you want both reports in one request without external API dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:44:14.929Z","isFirstParty":false,"canonicalSlug":"shot-schedules-duplicate-key-report-adjacent-row-changes-22740ba9"}