{"uid":"cap_bvGw7URsazEGxbxTNAqGp","slug":"business-website-inventories-record-quality-audit-string-f5763766","name":"Business Website Inventories — Record Quality Audit, String Normalisation & Missing-Value Fill","description":"Business website inventories — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied business website inventories records (page_count, verified_pages). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-23-208?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"},"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_Fuj-baEfawrvvVjR7tzfe","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":"Audits record quality, normalises strings, and fills missing values for business website inventory data (page_count, verified_pages) across up to 200 rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you audit the quality, normalise the strings, and fill missing values for my business website inventory records using median imputation on the page_count field? I have about 50 rows with company_group, date, page_count, and verified_pages columns and some nulls I need filled.","exampleUseCases":[{"title":"Cleaning monthly web inventory exports","prompt":"I've got 120 rows of website inventory data with company_group, date, page_count, and verified_pages — some page_count values are missing. Can you run a quality audit, normalise the strings, and fill those missing page_count values using median imputation?"},{"title":"Pre-analysis data validation for verified pages","prompt":"Before I analyse my verified_pages numbers, can you audit these 80 business website inventory records for quality issues, normalise any inconsistent company group names, and fill missing verified_pages values using mean imputation?"},{"title":"Standardising multi-group website data","prompt":"I have website inventory records across several company groups — about 150 rows — and I need three reports: a record quality audit, string normalisation, and missing-value fill using zero imputation on page_count. Can you run all three?"}],"resultDescription":"Returns 3 independent analytical reports: (1) a record quality audit highlighting issues in the supplied rows, (2) a string normalisation report for fields like company_group, and (3) a missing-value fill report for the specified numeric field (page_count or verified_pages) using the chosen method (zero, mean, or median). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request rejected due to maxItems constraint","Invalid date format not matching YYYY-MM-DD pattern — validation error","Missing required fields (row_id, company_group, date, page_count, verified_pages) — schema validation failure","Invalid enum value for field or method parameters — error response","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of business website inventory data (page_count, verified_pages) and need a bundled set of three data quality operations — record auditing, string normalisation, and missing-value imputation — performed locally without any external API calls, live lookups, or predictions. Ideal for pre-analysis data cleaning pipelines at low cost ($0.01 for all three reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:42.011Z","isFirstParty":false,"canonicalSlug":"business-website-inventories-record-quality-audit-string-f5763766"}