{"uid":"cap_4WY7htn-UPcWt2d6btJxs","slug":"service-request-handling-exact-row-deduplication-adjacent-row-changes-0aa6bbb1","name":"Service Request Handling — Exact Row Deduplication + Adjacent Row Changes","description":"Service request handling — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes for supplied service request handling records (request_count, resolution_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-05-046?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","request_count","resolution_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},"request_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"resolution_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","request_count":10,"resolution_minutes":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","request_count":20,"resolution_minutes":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","request_count":15,"resolution_minutes":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","request_count":30,"resolution_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["request_count","resolution_minutes"],"type":"string","default":"request_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_nDkNyk5BwYOhulWEozCny","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 duplicate rows and detects adjacent row changes in service request handling data (request_count, resolution_minutes) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you deduplicate my service request records and flag adjacent row changes for the request_count field? Here are up to 200 rows with row_id, team_group, date, request_count, and resolution_minutes — I need both the deduplication and change-detection reports.","exampleUseCases":[{"title":"Daily helpdesk data deduplication audit","prompt":"I have a list of up to 150 daily service request records per team group with request_count and resolution_minutes — can you strip out any exact duplicate rows and also show me where the request_count changed between consecutive rows?"},{"title":"Detecting resolution time shifts by team","prompt":"Run a deduplication and adjacent row change analysis on my resolution_minutes data across team groups — I want to see which consecutive rows have different values after removing any exact duplicates. There are about 80 rows total."},{"title":"Validating imported support ticket exports","prompt":"I just exported our support ticket handling data for October — around 200 rows with row_id, team_group, date, request_count, and resolution_minutes. Can you check for exact duplicate rows and identify where request_count shifted between adjacent rows so I can validate the import?"}],"resultDescription":"Returns two reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the submitted dataset, and (2) an adjacent row changes report highlighting where the selected metric field (request_count or resolution_minutes) changed between consecutive rows, grouped by team_group and date.","failureModes":["Rows exceeding 200 items will be rejected (maxItems constraint)","Missing required fields (row_id, team_group, date, request_count, resolution_minutes) will cause validation errors","Invalid date format (non YYYY-MM-DD) will fail pattern validation","Payment failure or insufficient USDC balance will prevent processing","Submitting fewer than 1 row (minItems) will be rejected"],"whenToPreferThis":"Use this endpoint when you need both exact duplicate removal and adjacent/sequential row change detection in a single call on service request handling data. Ideal for operations teams cleaning daily helpdesk exports, validating ETL pipeline outputs, or auditing request-count and resolution-time series for anomalies without needing a live data connection or external prediction service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:01.042Z","isFirstParty":false,"canonicalSlug":"service-request-handling-exact-row-deduplication-adjacent-row-changes-0aa6bbb1"}