{"uid":"cap_vRwsWy621XYUJb71mA8Zt","slug":"shot-schedules-exact-row-deduplication-numeric-interval-filter-423213a2","name":"Shot Schedules — Exact Row Deduplication + Numeric Interval Filter","description":"Shot schedules — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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-13-043?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_BCDT4sPeOtDkp0d61ResG","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":"Deduplicates shot schedule rows and filters them by a numeric interval (min/max) on planned_hours or actual_hours, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you deduplicate my shot schedule records and filter them to only show rows where planned_hours is between 0 and 100? I have up to 50 rows with fields: row_id, asset_group, date, planned_hours, and actual_hours.","exampleUseCases":[{"title":"Clean duplicate production schedule entries","prompt":"I have a shot schedule export with about 80 rows and I think there are duplicates. Can you deduplicate them exactly and then filter to only keep rows where planned_hours is between 5 and 40? The rows have row_id, asset_group, date, planned_hours, and actual_hours."},{"title":"Audit actual hours within valid range","prompt":"Run a deduplication and numeric filter on my shot schedule data — I want to filter on actual_hours between 0 and 8 to find rows within a normal shift. I have 120 records with row_id, asset_group, date, planned_hours, and actual_hours."},{"title":"Filter overbudget shot schedule rows","prompt":"I need to find all unique shot schedule rows where planned_hours exceeds 50 — so set minimum to 50 and maximum to 1000000. Please also deduplicate first. My dataset has around 150 rows."}],"resultDescription":"Returns two analytical reports based on the supplied shot schedule data: one covering exact row deduplication results and one covering numeric interval filtering on the selected field (planned_hours or actual_hours), both computed locally without any external lookup or prediction.","failureModes":["Rows array is empty or missing — validation error returned","More than 200 rows submitted — request rejected with max items error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Minimum value greater than maximum value — may return empty filtered result set","Field selector value outside enum (not 'planned_hours' or 'actual_hours') — schema rejection","Null numeric values in planned_hours or actual_hours may be excluded from interval filter results"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously deduplicate shot schedule records and apply a numeric range filter on hours fields, receiving two independent analytical reports in a single $0.01 call. Prefer it over general-purpose data tools when your data conforms to the shot schedule schema (row_id, asset_group, date, planned_hours, actual_hours) and you need both cleaning and filtering in one step without any external API calls or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:31.944Z","isFirstParty":false,"canonicalSlug":"shot-schedules-exact-row-deduplication-numeric-interval-filter-423213a2"}