{"uid":"cap_zez-Vc-R6RKid4zyfEfpu","slug":"render-farm-usage-duplicate-key-report-adjacent-row-changes-650273b2","name":"Render Farm Usage — Duplicate Key Report + Adjacent Row Changes","description":"Render farm usage — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes for supplied render farm usage records (node_hours, job_count). 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-24-062?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","node_hours","job_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"job_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"node_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","job_count":1,"node_hours":10,"asset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","job_count":2,"node_hours":20,"asset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","job_count":3,"node_hours":15,"asset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","job_count":4,"node_hours":30,"asset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["node_hours","job_count"],"type":"string","default":"node_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_bJg-oRlm9PBllGCfheHkU","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 render farm usage records to produce a duplicate key report and an adjacent row changes report for up to 200 rows.","exampleAgentPrompt":"Check my render farm usage data for duplicate row IDs and adjacent row changes — here are 4 rows with row_id, asset_group, date, node_hours, and job_count; analyze on node_hours and tell me which rows are duplicates and what changed between consecutive entries.","exampleUseCases":[{"title":"Audit render logs for duplicate job keys","prompt":"I have a CSV export of render farm usage with columns for row_id, asset_group, date, node_hours, and job_count. Can you scan it for any duplicate row IDs and also flag where job_count changed between adjacent rows? There are about 80 rows total."},{"title":"Detect consecutive node hour shifts","prompt":"Run a duplicate key check and adjacent row changes report on my render farm usage records using node_hours as the measure — I'll give you up to 150 rows with row_id, asset_group, and date fields included."},{"title":"Validate asset group render data integrity","prompt":"Before I import this render farm dataset into our pipeline, can you check it for any repeated row identifiers and highlight where node_hours jumped between neighboring rows? It's about 60 records across two asset groups."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows sharing the same key values, and (2) an adjacent row changes report highlighting differences in the selected measure (node_hours or job_count) between consecutive rows — both computed locally without external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, node_hours, job_count) cause validation errors","Invalid date format (not YYYY-MM-DD) causes row rejection","Null numeric values may affect change detection completeness","Duplicate row_id values with identical data may not surface semantic duplicates beyond key collisions"],"whenToPreferThis":"Choose this endpoint when you have render farm usage tabular data and need both a duplicate key integrity check and a consecutive-row change analysis in a single low-cost call ($0.01 USDC). It is ideal for data quality audits on moderate-sized datasets (up to 200 rows) where no external lookup or predictive modeling is required — purely local analytical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:16.829Z","isFirstParty":false,"canonicalSlug":"render-farm-usage-duplicate-key-report-adjacent-row-changes-650273b2"}