{"uid":"cap_WeULvYTiTYOFa2eYwW0kH","slug":"process-handoffs-exact-row-deduplication-daily-sum-series-0df2bb97","name":"Process Handoffs — Exact Row Deduplication + Daily Sum Series","description":"Process handoffs — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series for supplied process handoffs records (handoff_count, wait_minutes). 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-operations-18-044?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","handoff_count","wait_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"wait_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handoff_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","wait_minutes":1,"handoff_count":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","wait_minutes":2,"handoff_count":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","wait_minutes":3,"handoff_count":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","wait_minutes":4,"handoff_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["handoff_count","wait_minutes"],"type":"string","default":"handoff_count"}}},"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_J0Qxdw7c9_lrXfbik2icm","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 exact rows and computes daily sum time series for process handoff records (handoff_count, wait_minutes) across team groups.","exampleAgentPrompt":"Deduplicate my process handoff records and compute a daily sum series for handoff_count — here are the rows: team-a logged 10 handoffs and 5 wait minutes on 2025-01-01 (row-1), team-b logged 20 handoffs and 8 wait minutes on 2025-01-02 (row-2), and team-a logged 10 handoffs and 5 wait minutes on 2025-01-01 again (row-3, duplicate of row-1).","exampleUseCases":[{"title":"Daily handoff volume trend by team","prompt":"I have about 150 rows of process handoff data across our support teams with dates ranging over the past quarter. Can you deduplicate any exact duplicate entries and then give me a daily sum series for handoff_count so I can see volume trends over time?"},{"title":"Wait time aggregation after data cleanup","prompt":"Our operations export has some duplicate rows — can you remove exact duplicates from these handoff records and then compute the daily total wait_minutes across all team groups so I can see where bottlenecks are by day?"},{"title":"Cross-team handoff quality audit","prompt":"I need two reports on this set of process handoff records for team-alpha and team-beta: first flag and remove any exact duplicate rows, then give me a daily sum series for handoff_count — there are about 80 rows total with dates in January 2025."}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the supplied handoff data, and (2) a daily sum time series aggregating the selected measure (handoff_count or wait_minutes) by date across all team groups. Both reports are computed locally using shared analytical engines on up to 200 input rows.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, date, team_group) in one or more rows — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field enum value not recognized (must be 'handoff_count' or 'wait_minutes') — error response","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a daily sum time series on process handoff data (handoff_count or wait_minutes) in a single $0.01 call covering up to 200 rows. It is ideal for operations analytics workflows where data quality (duplicate removal) and temporal aggregation are needed together without any external data lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:04.409Z","isFirstParty":false,"canonicalSlug":"process-handoffs-exact-row-deduplication-daily-sum-series-0df2bb97"}