{"uid":"cap_lYlXGYXYD5LniHFLY-OyC","slug":"registry-snapshots-adjacent-row-changes-iqr-outlier-flags-c40e0f50","name":"Registry Snapshots — Adjacent Row Changes + IQR Outlier Flags","description":"Registry snapshots — Adjacent row changes + IQR outlier flags: Adjacent row changes + 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-04-157?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__uBrvX2_Cqzme5F14b20g","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":"Analyzes registry snapshot records to compute adjacent row changes and flag IQR-based outliers for registered_entities and changed_entities fields, producing two local analytical reports per call.","exampleAgentPrompt":"Can you analyze this set of registry snapshot rows for adjacent row-to-row changes and flag any IQR outliers in the registered_entities field? I have up to 50 rows with row_id, company_group, date, registered_entities, and changed_entities values I want checked.","exampleUseCases":[{"title":"Detect outliers in entity registration data","prompt":"I have 80 rows of daily registry snapshots across several company groups — can you run an adjacent row change analysis and flag any IQR outliers in the registered_entities field so I can spot unusual registration activity?"},{"title":"Monitor changed_entities anomalies over time","prompt":"Here are 120 registry snapshot records with dates, company groups, and changed_entities counts — please compute the row-to-row changes and identify which rows are statistical outliers using IQR on the changed_entities field."},{"title":"Validate registry data consistency before reporting","prompt":"Before I finalize my quarterly report, can you check these 60 company registry snapshot rows for any suspicious adjacent row changes or IQR outlier flags on the registered_entities column?"}],"resultDescription":"Returns two analytical reports: (1) adjacent row change values showing the delta between consecutive rows for the selected field, and (2) IQR outlier flags identifying which rows fall outside the interquartile range bounds — all computed locally without external lookups or live data.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, date, company_group, registered_entities, changed_entities) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1T to 1T) — rejected","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of registry snapshot time series — specifically row-to-row delta computation and IQR-based outlier detection — without needing live data enrichment, predictions, or external lookups. Ideal for data quality checks, anomaly detection in corporate registry records, or pre-reporting validation of entity count sequences across company groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:30.175Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-adjacent-row-changes-iqr-outlier-flags-c40e0f50"}