{"uid":"cap_RJgTwHijY4ABigPHogH2Q","slug":"render-jobs-string-normalisation-and-adjacent-row-changes-e5ce858d","name":"Render Jobs String Normalisation and Adjacent Row Changes","description":"Render jobs — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-02-029?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_Zw5PmLaMT_TuxEgunlL9h","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":"Applies string normalisation and adjacent row change analysis to supplied render job records (render_seconds, sample_count) for up to 200 rows.","exampleAgentPrompt":"Take these render job rows and run string normalisation plus adjacent row change analysis on the render_seconds field — I have up to 50 rows with row_id, asset_group, date, render_seconds, and sample_count for each entry.","exampleUseCases":[{"title":"Render pipeline sequential change audit","prompt":"I have 120 render job records with render_seconds and sample_count per row — can you normalize the string fields and show me how render_seconds changes from one row to the next?"},{"title":"Creative asset group render time comparison","prompt":"Run string normalization and adjacent row changes on my render job data for the sample_count field — I've got 80 rows grouped by asset_group across several dates and want to see the step-by-step differences."},{"title":"Daily render job QA for animation studio","prompt":"Here are 200 rows of daily render job logs with render_seconds values — please normalize the strings and compute the adjacent row changes so I can spot any unusual jumps in render time."}],"resultDescription":"Returns two analytical reports for the supplied render job rows: (1) string-normalised versions of the specified field values, and (2) adjacent row change values showing the difference between each consecutive row for the chosen measure (render_seconds or sample_count). Up to 200 rows processed per call.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, date, asset_group) causes validation error","Invalid date format (not YYYY-MM-DD) fails schema validation","Field enum value not 'render_seconds' or 'sample_count' causes rejection","Empty rows array rejected (minItems: 1)","Numeric values outside allowed range cause validation failure"],"whenToPreferThis":"Choose this endpoint when you have tabular render job data and need both string normalisation and adjacent row delta analysis in a single low-cost call ($0.01 USDC for both reports). Ideal for creative pipeline QA, render farm monitoring, or batch data cleaning of up to 200 rows without requiring an external database or live lookup service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:55.978Z","isFirstParty":false,"canonicalSlug":"render-jobs-string-normalisation-and-adjacent-row-changes-e5ce858d"}