{"uid":"cap_hdKT6Tfi7b_q_GuHKfrbl","slug":"render-jobs-record-quality-audit-string-normalisation-numeric-row-90710289","name":"Render Jobs — Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Render jobs — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied render jobs records (render_seconds, sample_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-02-196?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_EFNWQmFEETcnblNfRAH8h","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":"Audits data quality, normalises strings, and orders rows numerically for render job records (render_seconds, sample_count) — up to 200 rows, 3 independent reports per call.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric row ordering on these render job records — 4 rows with fields row_id, asset_group, date, render_seconds, and sample_count — and sort by render_seconds?","exampleUseCases":[{"title":"QA pipeline for render farm output","prompt":"I have 50 render job records with row_id, asset_group, date, render_seconds, and sample_count — can you run a full quality audit, normalise the string fields, and order them by render_seconds so I can spot issues?"},{"title":"Cleaning sample count data before reporting","prompt":"Before I generate my weekly render report, please audit these 120 render job rows for data quality problems, normalise the asset_group strings, and sort everything by sample_count."},{"title":"Validating asset group records post-import","prompt":"We just imported render job data from three different asset groups into our system — can you check these 80 rows for quality issues, clean up the string formatting, and give me a numeric ordering by render_seconds?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report for fields like asset_group; and (3) a numeric row ordering report ranking rows by the chosen field (render_seconds or sample_count). All processing is local with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, render_seconds, sample_count) — row validation errors","Malformed date strings not matching YYYY-MM-DD pattern — validation failure","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Invalid field selector (not 'render_seconds' or 'sample_count') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical processing of render job tabular data and want three combined reports (quality audit, string normalisation, numeric ordering) in a single low-cost call. It is ideal for media production pipelines needing pre-flight data QA before downstream reporting, and when no live lookups or external predictions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:19.021Z","isFirstParty":false,"canonicalSlug":"render-jobs-record-quality-audit-string-normalisation-numeric-row-90710289"}