{"uid":"cap_9qPlru0yoMZLkJabpmKDE","slug":"registry-snapshots-trailing-mean-series-iqr-outlier-flags-86c0454b","name":"Registry Snapshots — Trailing Mean Series + IQR Outlier Flags","description":"Registry snapshots — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied registry snapshots records (registered_entities, changed_entities). 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-company-04-149?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","registered_entities","changed_entities"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"changed_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"registered_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","changed_entities":1,"registered_entities":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","changed_entities":2,"registered_entities":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","changed_entities":3,"registered_entities":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","changed_entities":4,"registered_entities":30}],"maxItems":200,"minItems":1},"field":{"enum":["registered_entities","changed_entities"],"type":"string","default":"registered_entities"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_3ygBe6vFMMgyHwSgtxPXH","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 trailing moving-average time series and IQR-based outlier flags for registry snapshot data (registered_entities and changed_entities fields) across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Run a trailing mean and IQR outlier analysis on my registry snapshot data — I have 50 rows with company_group, date, registered_entities, and changed_entities fields, and I want to analyze the registered_entities field with a window size of 5.","exampleUseCases":[{"title":"Detect anomalous entity registration spikes","prompt":"I have daily registry snapshot data for multiple company groups over the past quarter — can you compute a 7-day trailing mean for registered_entities and flag any rows that look like outliers based on IQR? I have about 90 rows total."},{"title":"Monitor changed-entity volatility by group","prompt":"Analyze my registry snapshot records for unusual volatility in changed_entities — use a rolling window of 10 and flag any IQR outliers. I'll give you 150 rows grouped by company."},{"title":"Audit registry data quality with trend analysis","prompt":"I want a statistical audit of my company registry snapshots — compute the trailing mean series with a window of 4 for the registered_entities field across 60 rows, and tell me which rows are flagged as IQR outliers."}],"resultDescription":"Two independent analytical reports per call: (1) a trailing mean time series computed over the specified window for the chosen field (registered_entities or changed_entities), and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds — all derived purely from the supplied data rows, no external lookups.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum limit","Invalid date format (must match YYYY-MM-DD pattern)","Window size exceeds number of rows — insufficient data for trailing mean","Missing required fields (row_id, company_group, date) on any row","Numeric values outside allowed range (±1,000,000,000,000)","Invalid field enum value — must be 'registered_entities' or 'changed_entities'","Payment of 0.01 USDC not provided or declined"],"whenToPreferThis":"Choose this endpoint when you have registry snapshot tabular data (up to 200 rows) and need both a rolling/trailing mean time series and IQR-based outlier detection in a single call for either registered_entities or changed_entities. It is ideal for lightweight statistical QA of corporate entity registration records without needing a full analytics platform. Prefer this over generic statistics APIs when your data is structured specifically around company groups and dated registry events.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:56.633Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-trailing-mean-series-iqr-outlier-flags-86c0454b"}