{"uid":"cap_2Zwu6_aDciHYEqO0y8z3M","slug":"url-canonicalization-numeric-row-ordering-two-measure-correlation-75e05a27","name":"URL Canonicalization — Numeric Row Ordering + Two-Measure Correlation","description":"URL canonicalization — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied url canonicalization records (observed_urls, unique_urls). 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-web-20-120?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_uGB_N-TRURIynvQ09HerK","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":"Sorts URL canonicalization records by row and computes a two-measure correlation between observed_urls and unique_urls across up to 200 supplied rows, returning two independent analytical reports.","exampleAgentPrompt":"I have URL canonicalization records for two site groups over four days — can you sort them by row and run a correlation analysis between observed_urls and unique_urls? Here are the rows: row-1 group-a 2026-10-01 observed=10 unique=1, row-2 group-b 2026-10-02 observed=20 unique=2, row-3 group-a 2026-10-03 observed=15 unique=3, row-4 group-b 2026-10-04 observed=30 unique=4, and use observed_urls as the primary field.","exampleUseCases":[{"title":"URL deduplication efficiency audit","prompt":"I have daily URL crawl data for two site groups over the past week — can you order those rows numerically and tell me how strongly the unique URL count correlates with the observed URL count? I want to see both reports side by side."},{"title":"Site group comparison by URL metrics","prompt":"I've got canonicalization records for groups A and B across 10 dates with observed and unique URL counts. Can you rank the rows and compute the correlation between observed_urls and unique_urls so I can understand how deduplication scales?"},{"title":"Monthly URL canonicalization trend analysis","prompt":"Here are 50 rows of URL canonicalization data from last month, each tagged with a site group and date. Please sort them by row order and run a two-measure correlation between observed_urls and unique_urls — I need two separate reports from this data."}],"resultDescription":"Two independent analytical reports: (1) the input rows sorted in numeric row order, and (2) a statistical correlation analysis between the observed_urls and unique_urls measures across the supplied dataset. No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, site_group, date, observed_urls, unique_urls) cause validation errors","Invalid date format (not YYYY-MM-DD) results in schema rejection","Null or out-of-range numeric values may produce incomplete correlation results","Empty rows array (minItems:1 violated) returns an error","Invalid field enum value (not observed_urls or unique_urls) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have URL canonicalization data (observed vs. unique URL counts) organized by site group and date, and need both a numerically ordered view of rows and a correlation analysis between the two URL metrics — all computed offline against your supplied data without any live web lookup. Best suited for datasets of up to 200 rows where you want two bundled reports at low cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:25.428Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-numeric-row-ordering-two-measure-correlation-75e05a27"}