{"uid":"cap_gZvQbTmK9pSU1iBzlCTb1","slug":"registry-snapshots-category-frequencies-iqr-outlier-flags-3f9886eb","name":"Registry Snapshots — Category Frequencies + IQR Outlier Flags","description":"Registry snapshots — Category frequencies + IQR outlier flags: Category frequencies + 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-04-107?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"}}},"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_hpmc1wI4OP2Q3Gga9Re3i","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 category-level frequency distributions and IQR-based outlier flags for registered_entities and changed_entities fields across up to 200 registry snapshot rows, returning two independent analytical reports.","exampleAgentPrompt":"Here are 4 rows of registry snapshot data — company groups A and B with dates and registered/changed entity counts — can you compute category frequencies and flag any IQR outliers for the registered_entities field across these rows?","exampleUseCases":[{"title":"Outlier detection in entity registration data","prompt":"I have a dataset of 50 daily registry snapshots for our portfolio companies — can you analyze the registered_entities field, compute how frequently each company_group appears, and flag any rows with outlier values based on IQR?"},{"title":"Monthly registry audit by company group","prompt":"We have 120 rows of monthly registry records across 6 company groups with dates and changed_entities counts — please give me the category frequency breakdown and highlight any changed_entities values that look like statistical outliers."},{"title":"Spot unusual changes in entity counts","prompt":"Here's a snapshot table with row IDs, dates, company groups, and both registered and changed entity counts for our compliance review — can you run category frequency analysis and IQR outlier flagging on the changed_entities field so I can spot anything abnormal?"}],"resultDescription":"Returns two independent analytical reports: (1) category frequency counts showing how often each company_group value appears in the supplied rows, and (2) IQR-based outlier flags identifying which rows have registered_entities or changed_entities values that fall outside the interquartile range threshold. Reports cover up to 200 input rows and use only the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, company_group, date, registered_entities, changed_entities) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","All null values in the target numeric field may prevent IQR computation","Empty rows array returns an error","Numeric values outside allowed range (±1,000,000,000,000) are rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular registry snapshot data grouped by company category and need both a frequency distribution of those categories and statistical outlier detection (IQR-based) on entity count fields — all in a single $0.01 call covering up to 200 rows with no external data dependencies. Prefer it over general statistical APIs when your data matches the registered_entities/changed_entities schema and you need two reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:15.959Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-category-frequencies-iqr-outlier-flags-3f9886eb"}