{"uid":"cap_VZXT2L1bg_hb4nPkg4f13","slug":"render-jobs-record-quality-audit-string-normalisation-explicit-1c907e07","name":"Render Jobs — Record Quality Audit + String Normalisation + Explicit Missing-Value Fill","description":"Render jobs — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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-02-208?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_V3lNNd5fNW_MPhibl2cCI","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 render job records for quality issues, normalises strings, and fills missing values in render_seconds and sample_count fields for up to 200 rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you audit these render job rows for quality issues, normalise the string fields, and fill any missing render_seconds values using the median — I have about 50 rows with asset groups like 'group-a' and 'group-b'?","exampleUseCases":[{"title":"Pre-pipeline render data cleanup","prompt":"I've got 120 render job records with some nulls in render_seconds and messy asset_group strings — can you run a quality audit, normalise the strings, and fill the missing render_seconds with the mean so the data is ready for our reporting pipeline?"},{"title":"QA check on animation render output","prompt":"Before we sign off on this week's render batch, can you audit these 80 render job rows for data quality, normalise any string inconsistencies, and fill missing sample_count values with zero so we have a clean record?"},{"title":"Identifying bad data in sample counts","prompt":"We suspect some of our render job exports have bad or missing sample_count values — can you run a quality audit and median fill on these 200 rows and also normalise the asset_group strings while you're at it?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging anomalies, nulls, and structural issues; (2) a string normalisation report showing cleaned asset_group and other string fields; (3) an explicit missing-value fill report showing imputed render_seconds or sample_count values using the chosen method (zero, mean, or median). All reports are generated locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected with row limit error","Invalid date format (not YYYY-MM-DD) — validation error","Unknown fill method value outside zero/mean/median enum — schema error","Unknown field value outside render_seconds/sample_count enum — schema error","Empty rows array — minimum items constraint violation","row_id missing or empty — required field error"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality operations (audit + string normalisation + missing-value fill) on render job records in a single low-cost call. Ideal for creative/animation pipeline pre-processing where render_seconds and sample_count are the key metrics. Prefer this over separate single-operation endpoints when all three transformations are needed simultaneously and row count is under 200.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:55:04.663Z","isFirstParty":false,"canonicalSlug":"render-jobs-record-quality-audit-string-normalisation-explicit-1c907e07"}