{"uid":"cap_1cUK0Y-xyzOr5DMsarv5T","slug":"texture-baking-data-normalisation-duplicate-key-report-a47dcd15","name":"Texture Baking Data Normalisation & Duplicate Key Report","description":"Texture baking — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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-10-021?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}}},"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_w-9F2UKuybWn8jRvU3Mu8","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":"Normalises string fields and generates a duplicate key report for supplied texture baking records (bake_seconds, texture_pixels) — up to 200 rows, two analytical reports per call.","exampleAgentPrompt":"Can you run a string normalisation and duplicate key check on these texture baking records? I have 4 rows — row-1 through row-4 in groups group-a and group-b with bake times of 10, 20, 15, and 30 seconds and pixel counts of 1, 2, 3, and 4, dated from 2026-10-01 to 2026-10-04.","exampleUseCases":[{"title":"Audit game asset baking pipeline","prompt":"I've got about 150 texture baking log entries from our render farm — can you normalise all the string fields and flag any rows that share a duplicate row ID or asset group key?"},{"title":"Clean texture data before ingestion","prompt":"Before we import these bake records into our database, can you run a duplicate key report and string normalisation on all 80 rows so we can catch any data quality issues? Each row has a row_id, asset_group, date, bake_seconds, and texture_pixels."},{"title":"Detect duplicate bake jobs in batch","prompt":"We think some texture bake jobs got submitted twice — can you check these 200 records dated from 2026-01-01 for duplicate keys and also normalise the string fields so the report is clean?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report showing how string fields (row_id, asset_group, date) were standardised across the supplied rows, and (2) a duplicate key report identifying which rows share identical key values. Both reports are generated locally without any external lookup or prediction, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, bake_seconds, or texture_pixels) cause row-level validation errors","Dates not matching YYYY-MM-DD pattern rejected by schema validation","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array (minItems: 1 not met) causes request failure"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and duplicate key detection on texture baking records (bake_seconds, texture_pixels) in a single low-cost call. It is ideal for data pipeline pre-processing, asset validation before database ingestion, or auditing render farm logs for duplicate job submissions. Prefer it over general-purpose deduplication tools when your data is specifically structured around texture baking fields and you want two bundled analytical reports for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:25.979Z","isFirstParty":false,"canonicalSlug":"texture-baking-data-normalisation-duplicate-key-report-a47dcd15"}