{"uid":"cap_7oA8olMKcNbfaxfkfCcn3","slug":"render-jobs-record-quality-audit-date-by-category-pivot-0220bccd","name":"Render Jobs Record Quality Audit + Date by Category Pivot","description":"Render jobs — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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-02-017?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_a4R47QvVtX4BGnXHFwGeb","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":"Analyzes up to 200 render job records (render_seconds, sample_count) and produces two local analytical reports: a record quality audit and a date-by-category pivot table.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on my render job data — I have rows with render_seconds and sample_count for asset groups A and B across October 2026, and I want to analyze render_seconds specifically?","exampleUseCases":[{"title":"Render pipeline quality check","prompt":"I have 150 render job records with render_seconds and sample_count across several asset groups — can you audit the record quality and pivot the render_seconds by date and category so I can spot any gaps or anomalies?"},{"title":"Post-production batch review","prompt":"We just finished a render batch for groups 'hero-shots' and 'background-plates' across two weeks in November 2026. Can you run a quality audit and a date-by-asset-group pivot on sample_count to see how the workload was distributed?"},{"title":"Asset group render time breakdown","prompt":"I want to understand how render_seconds varied by asset group over Q4. Here are my render job rows — please give me the record quality audit and date-by-category pivot for render_seconds."}],"resultDescription":"Returns two analytical reports: (1) a record quality audit flagging missing values, nulls, out-of-range entries, and data completeness issues across the supplied render job rows; and (2) a date-by-category pivot table aggregating the selected metric (render_seconds or sample_count) grouped by date and asset_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected with validation error","Invalid date format (not YYYY-MM-DD) — row fails schema validation","Missing required fields (row_id, asset_group, date) — request rejected","Field enum value not 'render_seconds' or 'sample_count' — schema validation error","Numeric values outside allowed range — rejected or flagged","Empty rows array — request fails minItems constraint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a data quality audit and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for creative pipeline operators who want to validate record completeness and explore temporal patterns across asset groups without setting up a local analytics environment. Prefer this over general-purpose analytics when your data fits the render_seconds/sample_count schema and you need two structured reports at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:25.176Z","isFirstParty":false,"canonicalSlug":"render-jobs-record-quality-audit-date-by-category-pivot-0220bccd"}