{"uid":"cap_pjkjF2NWC7iEBEt5HOX1f","slug":"render-jobs-exact-row-deduplication-date-by-category-pivot-de5b7029","name":"Render Jobs — Exact Row Deduplication + Date by Category Pivot","description":"Render jobs — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot for supplied render jobs records (render_seconds, sample_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-02-052?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"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},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["render_seconds","sample_count"],"type":"string","default":"render_seconds"}}},"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_aN55NxPUG0M1WWQSRFJjB","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 produces a date-by-category pivot table from supplied render job records (render_seconds or sample_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 render job rows with fields like row_id, asset_group, date, render_seconds, and sample_count — can you run exact row deduplication and a date-by-category pivot on them for the render_seconds field?","exampleUseCases":[{"title":"Cleaning duplicate render pipeline logs","prompt":"I've got a batch of render job records for the past month with some exact duplicate rows mixed in — can you deduplicate them and also give me a pivot of render_seconds by date and asset group?"},{"title":"Comparing sample counts across asset groups","prompt":"Can you take these 150 render job rows and produce a date-by-category pivot for sample_count, grouped by asset_group, plus remove any exact duplicate entries first?"},{"title":"Auditing render time distribution for a project","prompt":"I have render job data for our animation project — about 80 rows — and I need two reports: one that removes all exact duplicate rows, and one that pivots render_seconds by date and asset group so I can see the distribution clearly."}],"resultDescription":"Returns two analytical reports: (1) the input dataset with exact duplicate rows removed, and (2) a pivot table of the selected numeric field (render_seconds or sample_count) cross-tabulated by date and asset_group category. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array is empty or missing — minItems:1 constraint violated","Row count exceeds 200 — maxItems constraint violated","Date field does not match YYYY-MM-DD pattern — schema validation error","row_id missing or empty — minLength:1 constraint violated","Numeric field values outside allowed range (±1,000,000,000,000) — schema error","Invalid field enum value (must be 'render_seconds' or 'sample_count') — schema error","Payment not fulfilled — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical operations on render job data in a single call: exact row deduplication and a date-by-category pivot, for up to 200 rows. It is cost-effective at $0.01 USDC for both reports together. Prefer this over general-purpose analytics tools when your data schema matches the render job structure (row_id, asset_group, date, render_seconds, sample_count) and you want offline, deterministic computation with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:09.525Z","isFirstParty":false,"canonicalSlug":"render-jobs-exact-row-deduplication-date-by-category-pivot-de5b7029"}