{"uid":"cap_Ha5LHL10x6NECI7wUsuii","slug":"render-jobs-record-quality-audit-string-normalisation-5b3850fa","name":"Render Jobs — Record Quality Audit + String Normalisation","description":"Render jobs — Record quality audit + String normalisation: Record quality audit + String normalisation 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-02-001?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}}},"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_FRw6myfqlpXr-s5WzhBZW","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 record quality and normalises strings in render job data (render_seconds, sample_count) for up to 200 rows, producing 2 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on these render job records? I have rows with asset groups like 'group-a' and 'group-b', dates in 2026-10, render_seconds and sample_count values — up to 50 rows — and I need both reports back.","exampleUseCases":[{"title":"Render pipeline data quality check","prompt":"I have 80 render job records with asset_group names, dates, render_seconds and sample_count values exported from our pipeline — can you audit them for quality issues and normalise the string fields, then give me both reports?"},{"title":"Cleaning messy asset group strings","prompt":"Our render job exports have inconsistent asset group labels and some suspect render_seconds values. Can you run a string normalisation and record quality audit on these 120 rows so we know what needs fixing?"},{"title":"Pre-submission data validation for render jobs","prompt":"Before I hand off this batch of 30 render job records to the production team, can you do a quality audit and string normalisation check on the render_seconds and sample_count fields so I can catch any bad data?"}],"resultDescription":"Two independent analytical reports per call: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields in render_seconds and sample_count; (2) a string normalisation report showing standardised versions of string fields like asset_group. Covers up to 200 input rows with no external lookups or predictions.","failureModes":["Input array is empty (minItems: 1 violated) — request rejected","More than 200 rows submitted (maxItems exceeded) — request rejected","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric fields outside allowed range (±1,000,000,000,000) — schema rejection","Payment not attached or insufficient USDC — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and string normalisation on render job data in a single call, covering up to 200 rows at low cost ($0.01 USDC). It is best suited for offline/batch data cleaning of creative production records where no live lookups, predictions, or external data enrichment are required. Prefer sibling endpoints if you need duplicate key detection, numeric ordering, interval filtering, or other single-report combinations instead.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:19.906Z","isFirstParty":false,"canonicalSlug":"render-jobs-record-quality-audit-string-normalisation-5b3850fa"}