{"uid":"cap_uM0JS7QoUcdvZ7tiFKFBP","slug":"registry-snapshots-string-normalisation-iqr-outlier-flags-c9587b02","name":"Registry Snapshots — String Normalisation + IQR Outlier Flags","description":"Registry snapshots — String normalisation + IQR outlier flags: String normalisation + 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-04-032?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_WJIa8rQcUgKe8nJe6XICX","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":"Normalises string fields and flags IQR-based outliers in registry snapshot data (registered_entities, changed_entities) for up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"I have a set of registry snapshot rows with registered_entities and changed_entities counts across several company groups — can you run string normalisation and IQR outlier detection on the registered_entities field for up to 50 rows and give me both reports?","exampleUseCases":[{"title":"Outlier detection in entity registration data","prompt":"I have daily registry snapshot records for three company groups from last quarter — can you flag any rows where the registered_entities count looks like an IQR outlier and also normalise the string fields? I'll supply up to 80 rows."},{"title":"Quality check on changed entities before reporting","prompt":"Before I submit our monthly compliance report, can you run string normalisation and IQR outlier flagging on the changed_entities field across these 120 registry snapshot rows so I can catch any anomalous values?"},{"title":"Comparing group-level registration anomalies","prompt":"I've got registry snapshot data for groups A and B over the past six months — can you run the string normalisation and IQR outlier analysis on registered_entities for these 150 rows and give me both analytical reports?"}],"resultDescription":"Two independent analytical reports: one covering string normalisation of the supplied registry snapshot records and one flagging rows whose numeric values fall outside the IQR bounds for the selected field (registered_entities or changed_entities), based entirely on the supplied data with no live lookups or external calls.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, company_group) — validation error returned","Date field not in YYYY-MM-DD format — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minimum 1 item required","Invalid field enum value — must be registered_entities or changed_entities"],"whenToPreferThis":"Choose this endpoint when you have structured registry snapshot data with registered_entities or changed_entities counts and need both string normalisation and IQR-based outlier detection in a single low-cost call (up to 200 rows). It is ideal for pre-reporting quality checks, anomaly detection pipelines, or compliance data hygiene tasks where no live lookup, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:24.856Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-string-normalisation-iqr-outlier-flags-c9587b02"}