{"uid":"cap_5HsHTAM3Wk_K1pZAfLb86","slug":"render-jobs-data-quality-audit-string-normalisation-two-measure-b2ba6f5a","name":"Render Jobs Data Quality Audit, String Normalisation & Two-Measure Correlation","description":"Render jobs — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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-02-204?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_sWILQ7atLIkV9O-4uW0jH","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 analytical reports on render job records: data quality audit, string normalisation, and correlation between render_seconds and sample_count — up to 200 rows per call.","exampleAgentPrompt":"Can you audit the quality of these render job records, normalise the asset_group strings, and check how render_seconds correlates with sample_count? Here are my rows: row-1 on 2026-10-01 in group-a with render_seconds=120 and sample_count=5, row-2 on 2026-10-02 in group-b with render_seconds=240 and sample_count=10.","exampleUseCases":[{"title":"Render pipeline data quality check","prompt":"I have a batch of 50 render job logs from last week — can you run a quality audit to flag any missing or out-of-range values, normalise the asset group names, and tell me if render time correlates with sample count? I'll paste the rows now."},{"title":"Detecting anomalies in studio render data","prompt":"Our render farm produced these job records for October — can you audit them for quality issues, clean up the asset_group strings, and calculate the correlation between render_seconds and sample_count across all the rows?"},{"title":"Validating imported render metrics before reporting","prompt":"Before I include these render job records in my monthly report, can you run a data quality audit, normalise any inconsistent string values in the asset_group field, and compute how strongly render_seconds and sample_count are correlated?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report cleaning asset_group and other string fields; (3) a correlation report between render_seconds and sample_count, computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, render_seconds, sample_count) cause row-level errors","Malformed date strings not matching YYYY-MM-DD pattern fail validation","All-null numeric columns make correlation undefined or return NaN","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need a combined data quality audit, string normalisation, and numeric correlation report in a single low-cost call — especially when no external data lookup or live prediction is needed and all analysis is self-contained on the supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:57.131Z","isFirstParty":false,"canonicalSlug":"render-jobs-data-quality-audit-string-normalisation-two-measure-b2ba6f5a"}