{"uid":"cap_Q-F_Bv7QVlgLkoF8yy2wy","slug":"rig-complexity-numeric-distribution-category-frequencies-4a8cc511","name":"Rig Complexity — Numeric Distribution + Category Frequencies","description":"Rig complexity — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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-04-072?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"}}},"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_tx9LYaCrlay-XaEw28VVi","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 numeric distribution statistics and category frequency counts for rig complexity records (bone_count and constraint_count) from up to 200 supplied rows.","exampleAgentPrompt":"Can you analyze the distribution of bone counts across these rig records? I have 4 rows: row-1 on 2026-10-01 with bone_count 10 in group-a and constraint_count 1, row-2 on 2026-10-02 with bone_count 20 in group-b and constraint_count 2, row-3 on 2026-10-03 with bone_count 15 in group-a and constraint_count 3, row-4 on 2026-10-04 with bone_count 30 in group-b and constraint_count 4 — give me the numeric distribution and category frequencies for bone_count.","exampleUseCases":[{"title":"Character rig complexity audit","prompt":"I have a batch of 50 character rig records with bone_count and constraint_count values — can you run a numeric distribution and asset_group frequency breakdown on them so I can understand which groups are most complex?"},{"title":"Animation pipeline QA review","prompt":"Before we finalize our animation pipeline, I need to see how constraint counts are statistically distributed across our rig assets — can you compute the numeric distribution and category frequencies for constraint_count on these 120 rig records?"},{"title":"Studio rig inventory analysis","prompt":"We're auditing our studio's rig inventory — can you analyze the bone_count distribution and group frequency across these 200 rig records so we can identify outliers and see which asset groups dominate?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report for the selected field (bone_count or constraint_count) covering statistics such as min, max, mean, percentiles, and histogram bins; and (2) a category frequency report showing how often each asset_group value appears in the supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows exceeds the maximum and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","row_id missing or empty triggers required field error","bone_count or constraint_count values outside allowed numeric range are rejected","Invalid field enum value (not bone_count or constraint_count) causes request failure"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution and category frequency analysis for rig complexity data (bone_count or constraint_count) in a single call, and your dataset is 200 rows or fewer. It is ideal for animation pipeline teams and 3D asset managers who want fast, local statistical summaries without external data lookups or prediction services. Prefer it over general-purpose analytics tools when working specifically with rig bone/constraint complexity records organized by asset_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:33.518Z","isFirstParty":false,"canonicalSlug":"rig-complexity-numeric-distribution-category-frequencies-4a8cc511"}