{"uid":"cap_D7azKcXlK4qFOt5DLitfk","slug":"business-website-inventories-string-normalisation-exact-row-658fb474","name":"Business Website Inventories — String Normalisation + Exact Row Deduplication","description":"Business website inventories — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-23-020?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_77vqLFdFsOBomituqiXPM","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 strings and removes exact duplicate rows from business website inventory records containing page_count and verified_pages fields, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you clean up this website inventory dataset — normalise the strings and remove any exact duplicate rows? I have up to 50 records with fields like row_id, company_group, date, page_count, and verified_pages, and I need two reports back.","exampleUseCases":[{"title":"Deduplicating crawled website page records","prompt":"I've got a batch of 80 website inventory rows for different company groups with page_count and verified_pages values — can you run string normalisation and exact deduplication on them and give me the two reports?"},{"title":"Cleaning agency client website audit data","prompt":"We ran a website audit across several client groups and ended up with duplicate entries. Can you normalise the strings and strip exact duplicate rows from these 120 records — they all have row_id, company_group, date, page_count, and verified_pages fields?"},{"title":"Pre-analysis data quality check on website inventories","prompt":"Before I run analysis on my website inventory data, I want to normalise all the string fields and remove any exact row duplicates. There are about 150 rows covering different company groups with page_count and verified_pages — can you produce the two cleaning reports?"}],"resultDescription":"Two independent analytical reports covering: (1) string normalisation applied to the supplied business website inventory records, and (2) exact row deduplication results — identifying and removing identical rows across up to 200 input records with fields row_id, company_group, date, page_count, and verified_pages. No live lookups or external data are used.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, company_group, date, page_count, verified_pages) causes row rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Empty rows array returns an error","Numeric values outside the allowed range cause validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 business website inventory records with page_count and verified_pages fields and need lightweight, offline string normalisation and exact row deduplication without any live data lookup, prediction, or external enrichment. It is especially suitable for pre-processing or data quality checks before deeper analysis, and is cost-effective at $0.01 USDC for two reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:16.461Z","isFirstParty":false,"canonicalSlug":"business-website-inventories-string-normalisation-exact-row-658fb474"}