{"uid":"cap_WTbWcrb6CaXSTbzhdJ_-J","slug":"registry-snapshots-string-normalisation-explicit-missing-value-fill-7ae246c9","name":"Registry Snapshots — String Normalisation + Explicit Missing-Value Fill","description":"Registry snapshots — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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-04-037?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_9vy0nULxPLuQuNEagbqIY","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 fills missing numeric values in registry snapshot records (registered_entities, changed_entities) for up to 200 rows using two local analytical reports.","exampleAgentPrompt":"Can you clean up my registry snapshot data — normalise the company_group strings and fill any missing registered_entities values using median imputation? I have about 50 rows with dates, row IDs, and both registered_entities and changed_entities columns.","exampleUseCases":[{"title":"Impute missing entity counts before reporting","prompt":"I have 120 rows of registry snapshot data with some null values in the registered_entities column — can you fill those missing values using median imputation and give me clean records back?"},{"title":"Standardise company group names in registry data","prompt":"My registry snapshot has inconsistent company_group strings across 80 rows — can you normalise those strings so the names are consistent throughout the dataset?"},{"title":"Zero-fill missing changed_entities for compliance audit","prompt":"Before I run a compliance audit, I need all null changed_entities values in my 200-row registry snapshot replaced with zero — can you apply zero-fill and return the cleaned records?"}],"resultDescription":"Returns two analytical reports: one covering string normalisation applied to the company_group and related string fields, and one covering explicit missing-value fill for the selected numeric field (registered_entities or changed_entities) using the chosen method (zero, mean, or median). Results are derived entirely from the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request rejected at maxItems limit","Missing required fields (row_id, company_group, date, registered_entities, changed_entities) cause validation errors","Date strings not matching YYYY-MM-DD pattern cause schema rejection","Numeric values outside allowed range (-1e12 to 1e12) cause validation failure","Invalid fill method or field enum value causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and missing-value imputation on registry snapshot data (registered_entities, changed_entities) without requiring live data lookups, external enrichment, or complex analytics. Ideal for pre-processing company registry exports of up to 200 rows before downstream reporting or analysis. At $0.01 USDC for two reports, it is cost-effective for small-to-medium batch cleaning tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:38.258Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-string-normalisation-explicit-missing-value-fill-7ae246c9"}