{"uid":"cap_Uz7s5mvrgcPUhEI2tuAJr","slug":"rig-complexity-string-normalisation-and-missing-value-fill-98fd27b0","name":"Rig Complexity String Normalisation and Missing Value Fill","description":"Rig complexity — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied rig complexity records (bone_count, constraint_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-04-037?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bone_count","constraint_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"bone_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"constraint_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","bone_count":10,"asset_group":"group-a","constraint_count":1},{"date":"2026-10-02","row_id":"row-2","bone_count":20,"asset_group":"group-b","constraint_count":2},{"date":"2026-10-03","row_id":"row-3","bone_count":15,"asset_group":"group-a","constraint_count":3},{"date":"2026-10-04","row_id":"row-4","bone_count":30,"asset_group":"group-b","constraint_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["bone_count","constraint_count"],"type":"string","default":"bone_count"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_0aA-VMFYgIw8I5HM4maU7","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 strings and fills missing values in rig complexity records (bone_count, constraint_count) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have a batch of rig complexity records with some missing bone_count values — can you fill those nulls using median imputation and normalise the strings across all rows? Here are up to 50 rows covering asset groups like 'char-hero' and 'char-npc' with dates in 2025.","exampleUseCases":[{"title":"Impute missing bone counts before pipeline","prompt":"I need to prep my rig dataset for the animation pipeline — fill any missing bone_count values using the median method across these 80 rows for asset groups 'biped' and 'quadruped', with dates from 2025-01-01 to 2025-03-31."},{"title":"Clean constraint data for QA reporting","prompt":"Before I generate our QA report, can you normalise the strings and fill missing constraint_count values using zero fill for these 120 rig records covering asset group 'vehicle' across October 2026?"},{"title":"Standardise rig records across asset groups","prompt":"I've got mixed-quality rig complexity data with nulls and inconsistent strings — please normalise everything and impute missing bone_count values using mean for these 30 rows from asset groups 'prop-small' and 'prop-large'."}],"resultDescription":"Two analytical reports covering the supplied rows (up to 200): one with normalised string fields and one with explicitly filled missing values for the chosen field (bone_count or constraint_count), using the selected imputation method (zero, mean, or median). No external lookups or predictions are made — all processing is local and deterministic.","failureModes":["Rows exceed 200 item limit — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Unknown fill method enum value — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Empty rows array — minimum items constraint violation","Missing required field row_id — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need deterministic, local string normalisation and missing-value imputation specifically for 3D rig complexity data (bone_count, constraint_count) in batch up to 200 rows. Prefer this over general-purpose data-cleaning APIs when your use case is scoped to animation rig metrics and you need two bundled reports (one per analytical operation) at a fixed low cost of $0.01 USDC. Not suitable for live data lookup, predictive modelling, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:49.443Z","isFirstParty":false,"canonicalSlug":"rig-complexity-string-normalisation-and-missing-value-fill-98fd27b0"}