{"uid":"cap_dxnKNII7K4OMzypXQ-AOe","slug":"url-canonicalization-data-record-quality-audit-exact-row-35ae4cae","name":"URL Canonicalization Data — Record Quality Audit + Exact Row Deduplication + Numeric Distribution","description":"URL canonicalization — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied url canonicalization records (observed_urls, unique_urls). 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-web-20-210?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","observed_urls","unique_urls"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"unique_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","unique_urls":1,"observed_urls":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","unique_urls":2,"observed_urls":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","unique_urls":3,"observed_urls":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","unique_urls":4,"observed_urls":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_urls","unique_urls"],"type":"string","default":"observed_urls"}}},"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_k3L-UEebBHqmTRF1dUlzn","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 three analytical reports on URL canonicalization data: a record quality audit, exact row deduplication, and numeric distribution analysis for observed_urls and unique_urls fields.","exampleAgentPrompt":"Can you run a quality audit, deduplication check, and numeric distribution report on my URL canonicalization data? I have rows for site groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, with observed_urls and unique_urls counts, and I want the analysis focused on the observed_urls field.","exampleUseCases":[{"title":"Pre-pipeline URL data quality check","prompt":"I have a batch of URL canonicalization records from my crawler — site groups 'ecommerce' and 'blog' across the past week — and I need a quality audit plus duplicate detection before I load them into the data warehouse. Can you run all three reports on the observed_urls field?"},{"title":"SEO team URL deduplication audit","prompt":"Our SEO team collected URL observation data across five site groups for October and we think there are duplicate rows. Can you run an exact deduplication check and a quality audit on this data, up to 200 rows, analyzing the unique_urls field?"},{"title":"URL coverage distribution analysis","prompt":"I want to understand the numeric distribution of observed URLs across our site groups for the last quarter — min, max, spread, that kind of thing. Can you run the distribution report on this dataset of URL canonicalization records using the observed_urls field?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging completeness and validity issues in the supplied rows, (2) an exact row deduplication report identifying identical records, and (3) a numeric distribution summary (e.g. min, max, percentiles) for the selected field (observed_urls or unique_urls). All analysis is performed locally on the submitted data with no external lookups.","failureModes":["Exceeding 200 rows triggers a validation error","Missing required fields (row_id, date, site_group, observed_urls, unique_urls) causes row rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error","Invalid field enum value (not observed_urls or unique_urls) causes request failure"],"whenToPreferThis":"Choose this endpoint when you have URL canonicalization records (observed_urls, unique_urls) that need local data profiling — quality audit, deduplication, and distribution — without any external lookup or prediction. Ideal for pre-ingestion data validation, SEO data pipelines, or web crawl QA workflows. Best for datasets up to 200 rows where you want three reports for a single $0.01 flat fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:06:50.137Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-data-record-quality-audit-exact-row-35ae4cae"}