{"uid":"cap_5bYkK-jg-thAxycEt36GP","slug":"url-canonicalization-record-quality-audit-numeric-distribution-67b862b3","name":"URL Canonicalization Record Quality Audit + Numeric Distribution","description":"URL canonicalization — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-20-004?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_T-Tr1BJWIqo0GHtze3DOu","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 analytical reports — a record quality audit and a numeric distribution analysis — on up to 200 rows of URL canonicalization data (observed_urls, unique_urls).","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on my URL canonicalization data? I have up to 200 rows with site_group, date, observed_urls, and unique_urls — I want to analyze the observed_urls field specifically.","exampleUseCases":[{"title":"SEO crawl data quality check","prompt":"I've got a dataset of observed and unique URL counts per site group over the last month — can you audit the record quality and show me the numeric distribution of observed_urls so I know if there are any data issues before I report on canonicalization coverage?"},{"title":"Web analytics deduplication audit","prompt":"We collected URL canonicalization records across multiple site groups and I want to verify data completeness and see how unique_urls are distributed — can you run both the quality audit and numeric distribution reports on these rows?"},{"title":"Canonical URL monitoring sanity check","prompt":"Before I hand off this URL dataset to the team, can you run a record quality audit and numeric distribution analysis on the unique_urls field for these site group entries so we can spot any anomalies or missing values?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging issues such as missing values, nulls, and malformed entries across the supplied rows; and (2) a numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles, histogram bins) of the selected numeric field (observed_urls or unique_urls). Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum and request rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null or out-of-range numeric values for observed_urls or unique_urls may be flagged in quality report","Invalid field enum value (not observed_urls or unique_urls) causes rejection","Missing required row fields (row_id, site_group, date) causes schema validation error"],"whenToPreferThis":"Choose this endpoint when you need to quickly profile a URL canonicalization dataset for data quality issues and numeric spread using two simultaneous analytical reports at low cost ($0.01 USDC). It is best suited for offline/batch audit of supplied data (up to 200 rows) where no live lookup, prediction, or external data enrichment is needed. Prefer alternatives when you need real-time URL validation, SEO scoring, or external data joins.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:46:07.949Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-record-quality-audit-numeric-distribution-67b862b3"}