{"uid":"cap_zMQcW1fK1Kzvi8d5SmK0j","slug":"business-website-inventories-record-quality-audit-string-normalisation-bd85425e","name":"Business Website Inventories — Record Quality Audit + String Normalisation","description":"Business website inventories — Record quality audit + String normalisation: Record quality audit + String normalisation 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-23-001?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}}},"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_IIac4JszaaVkwAE_iv9US","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":"Runs two local analytical reports (record quality audit and string normalisation) on up to 200 rows of business website inventory data containing page_count and verified_pages fields.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my business website inventory data? I have up to 50 rows with fields like row_id, company_group, date, page_count, and verified_pages — here's the dataset.","exampleUseCases":[{"title":"Pre-load data quality check","prompt":"Before I load this batch of website inventory records into our data warehouse, can you audit the record quality and normalise the company_group strings? I have 120 rows with page_count and verified_pages values and I want to catch any issues first."},{"title":"Inconsistent company group cleanup","prompt":"My website inventory export has messy, inconsistently typed company_group names across 80 rows — can you run string normalisation and a quality audit on it so I can see which entries need fixing?"},{"title":"Verify page count data integrity","prompt":"I've got 35 rows of business website inventory records with page_count and verified_pages columns that may have nulls or out-of-range values — can you do a record quality audit and string normalisation report on them?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range numbers, or malformed dates in the supplied rows; and (2) a string normalisation report on text fields like company_group. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date, page_count, verified_pages) cause row-level errors","Malformed date strings not matching YYYY-MM-DD pattern may cause parsing failures","Numeric values outside the allowed range may be flagged or rejected","Empty rows array (minItems:1 violated) will cause a validation error"],"whenToPreferThis":"Choose this endpoint when you need a fast, offline analytical pass over a small-to-medium business website inventory dataset (up to 200 rows) to check record quality and normalise string fields — without any live lookups, predictions, or external data enrichment. It is cost-effective at $0.01 for two reports and is ideal as a pre-processing or data hygiene step before downstream ingestion or analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:05.786Z","isFirstParty":false,"canonicalSlug":"business-website-inventories-record-quality-audit-string-normalisation-bd85425e"}