{"uid":"cap_bY7aJiPiwtI8IlI4XnNqa","slug":"broken-link-observations-numeric-interval-filter-two-measure-41b19c83","name":"Broken Link Observations — Numeric Interval Filter + Two-Measure Correlation","description":"Broken link observations — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied broken link observations records (checked_links, broken_links). 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-17-131?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","checked_links","broken_links"],"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},"broken_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","broken_links":1,"checked_links":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","broken_links":2,"checked_links":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","broken_links":3,"checked_links":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","broken_links":4,"checked_links":30}],"maxItems":200,"minItems":1},"field":{"enum":["checked_links","broken_links"],"type":"string","default":"checked_links"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_3e9K8MCHdlzX1JsoNrxx1","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":"Filters broken link observation rows by a numeric interval on a chosen field and computes a correlation between checked_links and broken_links, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of broken link observations with site_group, date, checked_links, and broken_links columns — can you filter them to only rows where checked_links is between 10 and 500, and also compute the correlation between checked_links and broken_links across all the data?","exampleUseCases":[{"title":"Site health audit correlation analysis","prompt":"I've got daily broken link scan results for our three site groups over the past quarter — about 90 rows total. Filter to only the records where broken_links is between 5 and 200, and then tell me how strongly checked_links and broken_links are correlated across all the observations."},{"title":"Web QA team link monitoring report","prompt":"Our QA team ran a link checker across multiple domains and I have the results in 60 rows with checked_links and broken_links per day. Can you filter to rows where checked_links is between 50 and 1000 and run a two-measure correlation report on checked_links vs broken_links?"},{"title":"Broken link threshold investigation","prompt":"I'm trying to understand if sites with more links checked also tend to have more broken links. I have 200 rows of observations — filter on the broken_links field between 0 and 50, and give me a correlation analysis between checked_links and broken_links."}],"resultDescription":"Two independent analytical reports: (1) the subset of supplied rows where the chosen field (checked_links or broken_links) falls within the specified minimum–maximum interval, and (2) a correlation report quantifying the statistical relationship between checked_links and broken_links across the supplied dataset. No external data is fetched; all analysis is performed locally on the provided rows.","failureModes":["Missing required fields (row_id, date, checked_links, broken_links) cause validation errors","Submitting more than 200 rows exceeds the row limit and may be rejected","Invalid date format (not YYYY-MM-DD) triggers a schema error","Minimum greater than maximum in the interval filter produces an empty filtered set","Null values in checked_links or broken_links may reduce correlation sample size or cause computation errors","Payment failure or insufficient USDC balance prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of broken link observation records and need both a numeric range filter on link counts and a statistical correlation between checked_links and broken_links in a single paid call. It is ideal for web QA, site health monitoring, and link audit workflows where you want two bundled analytical outputs without building your own statistical pipeline. Prefer alternatives if you need live link checking, predictions, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:19.887Z","isFirstParty":false,"canonicalSlug":"broken-link-observations-numeric-interval-filter-two-measure-41b19c83"}