{"uid":"cap_OTfIR4pST0dW1evfP_eo8","slug":"render-jobs-string-normalisation-and-numeric-row-ordering-4de2a830","name":"Render Jobs String Normalisation and Numeric Row Ordering","description":"Render jobs — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-02-025?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_7pAx5-p27idsV65ODrLpF","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":"Normalises string fields and orders rows numerically for up to 200 render job records across two analytical reports covering render_seconds and sample_count.","exampleAgentPrompt":"Can you normalize the string fields and sort these render job records numerically by render_seconds? I have 4 jobs: row-1 on 2026-10-01 in group-a with render_seconds=10 and sample_count=1, row-2 on 2026-10-02 in group-b with render_seconds=20 and sample_count=2, row-3 on 2026-10-03 in group-a with render_seconds=15 and sample_count=3, and row-4 on 2026-10-04 in group-b with render_seconds=30 and sample_count=4 — I need both the normalization and ordering reports.","exampleUseCases":[{"title":"Render farm job duration ranking","prompt":"I've got a list of 20 render farm jobs with their render times and sample counts — can you normalize the asset group names and sort all the rows numerically by render_seconds so I can see which jobs took longest?"},{"title":"Animation pipeline sample count ordering","prompt":"Here are 50 render job records across two asset groups from last month — please normalize the string fields and give me a numeric ordering report based on sample_count."},{"title":"Weekly render audit report","prompt":"I want to audit this week's render jobs: I'll supply 80 rows with row IDs, asset groups, dates, render seconds, and sample counts — can you normalize the strings and produce the numeric row ordering report sorted by render_seconds?"}],"resultDescription":"Two analytical reports: one applying string normalisation to the asset_group and related string fields across the supplied rows, and one ordering all rows numerically by the specified numeric field (render_seconds or sample_count), covering up to 200 input records.","failureModes":["More than 200 rows submitted — request exceeds the row limit","Missing required fields (row_id, date, render_seconds, sample_count) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern mismatch","Numeric values outside allowed range cause schema rejection","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both string normalisation of categorical/string fields and numeric ordering of render_seconds or sample_count in a single paid call. Ideal for offline batch analysis of creative render pipeline data where no live lookup or prediction is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:47.189Z","isFirstParty":false,"canonicalSlug":"render-jobs-string-normalisation-and-numeric-row-ordering-4de2a830"}