{"uid":"cap_RplKq_tJk8LBZmwXLAscx","slug":"business-website-inventories-string-normalisation-iqr-outlier-flags-f57977fb","name":"Business Website Inventories — String Normalisation + IQR Outlier Flags","description":"Business website inventories — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied business website inventories records (page_count, verified_pages). 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-23-032?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","page_count","verified_pages"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"page_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"verified_pages":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","page_count":10,"company_group":"group-a","verified_pages":1},{"date":"2026-10-02","row_id":"row-2","page_count":20,"company_group":"group-b","verified_pages":2},{"date":"2026-10-03","row_id":"row-3","page_count":15,"company_group":"group-a","verified_pages":3},{"date":"2026-10-04","row_id":"row-4","page_count":30,"company_group":"group-b","verified_pages":4}],"maxItems":200,"minItems":1},"field":{"enum":["page_count","verified_pages"],"type":"string","default":"page_count"}}},"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_ggfDhCh9Ru88JoAYY9_XI","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 for business website inventory records (page_count, verified_pages) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and IQR outlier detection on my business website inventory data? Here are up to 200 rows with row_id, company_group, date, page_count, and verified_pages — I want both reports, flagging outliers on page_count.","exampleUseCases":[{"title":"Audit website inventory for anomalous page counts","prompt":"I have a dataset of 150 business website inventory records with page_count and verified_pages — can you normalise the strings and flag any outlier rows based on IQR for page_count so I can review them?"},{"title":"Clean company group data before reporting","prompt":"Before I run my monthly report, can you normalise the company_group strings and identify IQR outliers in verified_pages across these 80 website inventory rows I'm sending you?"},{"title":"Quality check newly ingested web data","prompt":"We just ingested fresh website inventory records from our crawl — here are 200 rows with page_count and verified_pages. Can you run the string normalisation and IQR outlier flagging so we can catch any bad data before it goes into our dashboard?"}],"resultDescription":"Two analytical reports per call: one covering string normalisation of the supplied records and one covering IQR-based outlier flags for the selected numeric field (page_count or verified_pages), applied to up to 200 input rows using local analytical engines — no external lookups or predictions.","failureModes":["Exceeding 200 rows causes rejection or truncation","Missing required fields (row_id, date, company_group) results in validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range trigger validation failure","Empty rows array rejected (minItems: 1)","Invalid field enum value (not page_count or verified_pages) causes error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline string normalisation and IQR outlier detection on business website inventory records (page_count, verified_pages) without requiring live lookups, predictions, or external data. Ideal for data-quality pipelines processing batches up to 200 rows at a fixed low cost of $0.01 USDC for two reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:04.807Z","isFirstParty":false,"canonicalSlug":"business-website-inventories-string-normalisation-iqr-outlier-flags-f57977fb"}