{"uid":"cap_azG4tui9nRDQWCmNIoUN3","slug":"material-libraries-record-quality-audit-secondary-measure-weighted-mean-6fcb599d","name":"Material Libraries Record Quality Audit + Secondary-Measure Weighted Mean","description":"Material libraries — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied material libraries records (material_count, texture_mb). 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-03-016?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","material_count","texture_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"texture_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"material_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","texture_mb":1,"asset_group":"group-a","material_count":10},{"date":"2026-10-02","row_id":"row-2","texture_mb":2,"asset_group":"group-b","material_count":20},{"date":"2026-10-03","row_id":"row-3","texture_mb":3,"asset_group":"group-a","material_count":15},{"date":"2026-10-04","row_id":"row-4","texture_mb":4,"asset_group":"group-b","material_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["material_count","texture_mb"],"type":"string","default":"material_count"}}},"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_jK88fFFXFV046KrYOsKPY","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 two local analytical reports on material library records: a data quality audit and a weighted mean calculation for either material_count or texture_mb, across up to 200 rows.","exampleAgentPrompt":"Run a record quality audit and weighted mean report on my material library data — I have 4 rows with asset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, material_count values of 10, 20, 15, 30 and texture_mb values of 1, 2, 3, 4; use material_count as the secondary measure field.","exampleUseCases":[{"title":"3D asset pipeline quality check","prompt":"I have 50 rows of material library records with asset groups, dates, material counts, and texture sizes — can you run a quality audit to flag any bad or missing data, and also compute a weighted mean for material_count?"},{"title":"Texture memory budget analysis","prompt":"Can you analyze my 120 material library entries and run both a data quality audit and a weighted mean on texture_mb so I know if any records are suspicious and what the weighted average texture size is across my asset groups?"},{"title":"Weekly material data validation","prompt":"Every week I export material library records from our pipeline — today I have 80 rows with dates, asset_group labels, material_count and texture_mb columns. Run a quality audit and weighted mean report on material_count so I can spot anomalies before the team review."}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying completeness, validity issues, and anomalies in the supplied rows; (2) a weighted mean calculation for the selected measure field (material_count or texture_mb) across the submitted dataset. No external data is fetched — all analysis uses the supplied rows only.","failureModes":["Fewer than 1 row supplied — rejected by schema minItems constraint","More than 200 rows supplied — rejected by schema maxItems constraint","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, asset_group, date, material_count, texture_mb) — schema error","Invalid field enum value (not material_count or texture_mb) — rejected","Numeric values out of allowed range — validation error","Payment not received or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you have material library tabular records (with material_count and texture_mb columns) and need both a data quality audit and a weighted mean in a single $0.01 call, without requiring any live data lookups or external integrations. Ideal for 3D asset pipeline validation, game development asset auditing, or creative production data hygiene checks on batches up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:18.206Z","isFirstParty":false,"canonicalSlug":"material-libraries-record-quality-audit-secondary-measure-weighted-mean-6fcb599d"}