{"uid":"cap_vhzMnsA1aB9f5SSBM_gpr","slug":"url-canonicalization-equal-width-histogram-two-measure-correlation-47b28d5b","name":"URL Canonicalization — Equal-Width Histogram + Two-Measure Correlation","description":"URL canonicalization — Equal-width histogram + Two-measure correlation: Equal-width histogram + 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-20-171?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_AEyrCmvAuNIIyYzBl-avf","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":"Analyzes URL canonicalization records by computing an equal-width histogram over a chosen field and calculating the correlation between observed_urls and unique_urls across up to 200 rows.","exampleAgentPrompt":"I have URL canonicalization records with observed_urls and unique_urls for several site groups — can you run a histogram with 10 bins on the observed_urls field and also compute the correlation between observed_urls and unique_urls across all rows?","exampleUseCases":[{"title":"Web crawl deduplication analysis","prompt":"I've got 150 rows of crawl data with site_group, date, observed_urls, and unique_urls — can you build a 10-bin equal-width histogram on observed_urls and show me the correlation between observed and unique URL counts so I can understand how much duplication is happening?"},{"title":"SEO site audit URL spread","prompt":"I'm auditing URL canonicalization across 5 site groups over the past month. Can you run a histogram with 8 bins on unique_urls and correlate it against observed_urls to see if sites with more observed URLs also have more unique ones?"},{"title":"Content pipeline URL dedup metrics","prompt":"Our content pipeline tracks observed_urls and unique_urls daily — can you analyze these 80 rows with a 5-bin histogram on observed_urls and compute the two-measure correlation between observed and unique URLs to help us spot inefficiencies?"}],"resultDescription":"Returns two analytical reports: (1) an equal-width histogram dividing the selected field (observed_urls or unique_urls) into the specified number of bins with counts per bin, and (2) a correlation coefficient measuring the linear relationship between observed_urls and unique_urls across the submitted rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, observed_urls, unique_urls) in any row — validation error","Invalid date format (must match YYYY-MM-DD pattern)","bins value outside allowed range 1–30 — rejected","All rows have null values for the selected field — histogram cannot be computed","Only one non-null data point — correlation undefined"],"whenToPreferThis":"Choose this endpoint when you have URL canonicalization data (observed vs. unique URL counts per site group and date) and need both a distribution view (histogram) and a relationship metric (correlation) in a single call. It is ideal for small-to-medium datasets of up to 200 rows where you want offline, deterministic statistical summaries without any live web lookups or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:11.050Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-equal-width-histogram-two-measure-correlation-47b28d5b"}