{"uid":"cap_kEERM_zi1ev65xHg0urMg","slug":"render-jobs-data-quality-audit-analytics-3-report-bundle-64994b7d","name":"Render Jobs Data Quality Audit & Analytics (3-Report Bundle)","description":"Render jobs — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-02-195?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_Y4UQwbmm_DSDPJ0BOIBcP","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: record quality audit, string normalisation, and category frequency analysis — all from supplied data, no external lookups.","exampleAgentPrompt":"Can you audit the quality of these render job records, normalise the asset_group strings, and give me category frequency counts? I have up to 50 rows with fields row_id, asset_group, date, render_seconds, and sample_count — I want all three reports in one shot.","exampleUseCases":[{"title":"Pre-pipeline render data validation","prompt":"Before I load this batch of render job logs into our database, can you run a quality audit on these 80 records — check for missing render_seconds or sample_count values, normalise the asset_group labels, and tell me how many jobs fall into each asset group category?"},{"title":"Render farm output quality check","prompt":"I've exported 120 rows from our render farm job tracker with columns row_id, asset_group, date, render_seconds, and sample_count. Can you audit the record quality, standardise the asset group strings, and give me a frequency breakdown by category?"},{"title":"Post-production asset group analysis","prompt":"Here are 35 render job records from last week's post-production run. Can you check the data quality, clean up any inconsistent asset_group names, and count how many records belong to each category — I need all three reports together."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in render_seconds and sample_count fields; (2) normalised string output for asset_group and other string fields; and (3) category frequency counts showing how often each asset_group appears across the submitted rows. All computed locally from the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns an error — batch must be split","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) will cause validation failure","Invalid date format (not YYYY-MM-DD) will be rejected by schema validation","Empty rows array returns an error — at least 1 row required","Payment failure via x402 protocol will block the request"],"whenToPreferThis":"Choose this endpoint when you need all three analytical operations — quality auditing, string normalisation, and category frequency counting — on render job data in a single low-cost API call. It is purpose-built for render pipeline data (render_seconds, sample_count, asset_group) and bundles three reports for $0.01 USDC, making it more cost-effective than calling separate endpoints. Prefer it over generic data quality tools when your data schema matches render job records specifically.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:08.161Z","isFirstParty":false,"canonicalSlug":"render-jobs-data-quality-audit-analytics-3-report-bundle-64994b7d"}