{"uid":"cap_29YlRKLIUq_1IwYMJKNmG","slug":"render-jobs-record-quality-audit-string-normalisation-adjacent-row-c499ade0","name":"Render Jobs — Record Quality Audit + String Normalisation + Adjacent Row Changes","description":"Render jobs — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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-02-200?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_XQEV6oxtYbQaAL64_9QE3","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":"Runs three local analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 render job records containing render_seconds and sample_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and adjacent row change analysis on these render job rows — I have up to 50 rows with render_seconds and sample_count values, and I want to check the render_seconds field specifically?","exampleUseCases":[{"title":"Auditing render pipeline output quality","prompt":"I have a batch of 120 render job records with asset groups and dates — can you audit their data quality, normalize any string inconsistencies, and flag where render_seconds changed significantly between adjacent rows?"},{"title":"Detecting sample count anomalies across frames","prompt":"Run the three-report analysis on my render job data focusing on the sample_count field — I want to catch any bad values, normalize asset group names, and see where sample counts jump between consecutive rows."},{"title":"Pre-submission data validation for render logs","prompt":"Before I submit these render logs, can you check record quality, normalize the strings, and show me adjacent row changes for render_seconds across all 80 rows in my asset group dataset?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit highlighting missing, null, or out-of-range values; (2) string normalisation findings for text fields like asset_group; and (3) a consecutive/adjacent row change report for the selected numeric field (render_seconds or sample_count). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds max item limit","Missing required fields (row_id, date, asset_group) cause validation rejection","Date field not matching YYYY-MM-DD pattern results in schema error","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array (minItems:1 not met) returns error","Invalid field enum value (not 'render_seconds' or 'sample_count') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need a combined, cost-efficient three-in-one analytical pass over render job data (up to 200 rows) and want quality auditing, string normalisation, and adjacent row change detection in a single API call for $0.01 USDC. It is ideal when no external data lookup or prediction is needed — only local analysis of supplied render job records with render_seconds and sample_count metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:09.846Z","isFirstParty":false,"canonicalSlug":"render-jobs-record-quality-audit-string-normalisation-adjacent-row-c499ade0"}