{"uid":"cap_EVuV2crvvDQlEqPsBc7AR","slug":"texture-baking-record-quality-audit-secondary-measure-weighted-mean-040caa9f","name":"Texture Baking Record Quality Audit + Secondary-Measure Weighted Mean","description":"Texture baking — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied texture baking records (bake_seconds, texture_pixels). 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-10-016?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bake_seconds","texture_pixels"],"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},"bake_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"texture_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","bake_seconds":10,"texture_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","bake_seconds":20,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":15,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":30,"texture_pixels":4}],"maxItems":200,"minItems":1},"field":{"enum":["bake_seconds","texture_pixels"],"type":"string","default":"bake_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_53Fhz-gqoQS17jQ0NKG9l","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 a data quality audit and secondary-measure weighted mean analysis on texture baking records (bake_seconds, texture_pixels) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the data quality and compute a secondary-measure weighted mean for these texture baking records — I have about 50 rows with bake_seconds and texture_pixels fields, and I want the weighted mean calculated on bake_seconds?","exampleUseCases":[{"title":"3D Asset Pipeline Data Quality Check","prompt":"I've got 120 rows of texture baking logs with row IDs, asset groups, dates, bake_seconds, and texture_pixels — can you run a quality audit on them and give me a weighted mean for bake_seconds so I can spot any bad data before we ship?"},{"title":"Texture Pixel Data Validation for Studio Review","prompt":"Before our weekly studio review, can you audit these 80 texture baking records for data quality issues and also compute the secondary-measure weighted mean on texture_pixels so we know where our heaviest assets are?"},{"title":"QA Report on Small Baking Test Batch","prompt":"We just ran a small test bake with 15 records across two asset groups — can you check them for data quality problems and give me the weighted mean of bake_seconds as part of the report?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit flagging missing values, anomalies, or integrity issues in the supplied texture baking rows, and (2) a secondary-measure weighted mean computed over the selected field (bake_seconds or texture_pixels) across up to 200 rows. No external lookups or predictions are made; all analysis runs locally on the supplied data.","failureModes":["Input array is empty or missing — minimum 1 row required","More than 200 rows submitted — request will be rejected","Invalid date format in a row — must match YYYY-MM-DD pattern","Missing required fields (row_id, bake_seconds, texture_pixels) in one or more rows — audit may flag or reject","Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure","Invalid field selector — must be either 'bake_seconds' or 'texture_pixels'","Payment of 0.01 USDC not fulfilled — 402 response returned"],"whenToPreferThis":"Choose this endpoint when you have texture baking tabular records (up to 200 rows) and need both a data quality audit and a weighted mean computation in a single call for a flat $0.01 USDC fee. It is ideal for 3D asset pipeline QA workflows where you want to validate bake_seconds and texture_pixels data integrity without any external API calls or predictions. Prefer this over generic analytics services if your data is already structured per the schema and you need two bundled reports cheaply and quickly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:45.555Z","isFirstParty":false,"canonicalSlug":"texture-baking-record-quality-audit-secondary-measure-weighted-mean-040caa9f"}