{"uid":"cap_qNFpeWZZdOovkBWQAzg5l","slug":"rig-complexity-grouped-numeric-summary-with-missing-value-fill-796c490e","name":"Rig Complexity Grouped Numeric Summary with Missing-Value Fill","description":"Rig complexity — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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-04-099?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_aKfbNG0_q3zGrVSBHl2dV","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":"Computes grouped numeric summary statistics and fills missing values for rig complexity records (bone_count, constraint_count) across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you summarize my rig complexity data grouped by asset group and fill any missing bone_count values using median imputation? I have about 50 rows with fields like row_id, asset_group, date, bone_count, and constraint_count.","exampleUseCases":[{"title":"Animation pipeline rig audit","prompt":"I have 120 rig complexity records with bone_count and constraint_count for asset groups 'characters', 'props', and 'vehicles' — can you give me a grouped numeric summary and fill any missing bone_count values using the median?"},{"title":"Missing constraint data cleanup","prompt":"Some of my constraint_count entries are null across about 80 animation rig rows. Can you fill those missing values using zero and give me a grouped summary by asset_group so I can see which groups have the most constraints?"},{"title":"Rig complexity comparison across asset groups","prompt":"I want to compare rig complexity across three asset groups using 30 rows of data — please compute grouped summary stats for both bone_count and constraint_count, and fill any missing bone_count values using the mean."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary (e.g. count, mean, min, max, std) of the specified numeric field broken down by asset_group, and (2) the same dataset with missing values in the target field explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally without external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, bone_count, or constraint_count) cause validation errors","Exceeding 200 rows returns an error or truncation","Invalid date format (not YYYY-MM-DD) fails schema validation","Unsupported fill method value outside zero/mean/median is rejected","Empty rows array is rejected (minItems: 1)","Payment failure via x402 protocol prevents endpoint access"],"whenToPreferThis":"Choose this endpoint when you need fast, offline grouped descriptive statistics and missing-value imputation for 3D animation rig complexity datasets (bone counts and constraint counts). It is ideal for technical artists or pipeline tools that need a quick two-report analytical pass over up to 200 rows without any live data lookups, predictions, or external integrations. Prefer this over general-purpose data tools when you want a combined grouped summary + imputation in a single cheap ($0.01 USDC) API call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:03.256Z","isFirstParty":false,"canonicalSlug":"rig-complexity-grouped-numeric-summary-with-missing-value-fill-796c490e"}