{"uid":"cap_TqhIuuWmNAUmTY17m-xRX","slug":"knowledge-base-maintenance-numeric-interval-filter-two-measure-cccfdb1b","name":"Knowledge Base Maintenance — Numeric Interval Filter + Two-Measure Correlation","description":"Knowledge base maintenance — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied knowledge base maintenance records (updated_articles, due_articles). 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-writing-16-131?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","updated_articles","due_articles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"due_articles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"updated_articles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","due_articles":1,"document_group":"group-a","updated_articles":10},{"date":"2026-10-02","row_id":"row-2","due_articles":2,"document_group":"group-b","updated_articles":20},{"date":"2026-10-03","row_id":"row-3","due_articles":3,"document_group":"group-a","updated_articles":15},{"date":"2026-10-04","row_id":"row-4","due_articles":4,"document_group":"group-b","updated_articles":30}],"maxItems":200,"minItems":1},"field":{"enum":["updated_articles","due_articles"],"type":"string","default":"updated_articles"},"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_R13ojpKIJ1J4laYeNVzm_","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 knowledge base maintenance records by a numeric interval and computes the correlation between updated_articles and due_articles across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Analyze my knowledge base maintenance data — I have up to 50 records with updated_articles and due_articles per document group — filter to rows where updated_articles is between 5 and 100, then give me the correlation between updated_articles and due_articles.","exampleUseCases":[{"title":"Documentation team backlog correlation","prompt":"I have daily knowledge base records for my documentation team across two groups — filter the rows where due_articles is between 1 and 50, then tell me how correlated due_articles and updated_articles are across those filtered records."},{"title":"Content freshness analysis by interval","prompt":"Here are 80 rows of article maintenance data with updated_articles and due_articles fields. Filter to rows where updated_articles falls between 10 and 200, then compute the correlation between updated_articles and due_articles so I can see if teams updating more articles also tend to have more due."},{"title":"Knowledge base health monitoring","prompt":"Can you run a two-measure correlation on my knowledge base maintenance records? I want to focus only on rows where due_articles is between 0 and 30, and then see how that measure correlates with updated_articles across my document groups."}],"resultDescription":"Returns two analytical reports: (1) the subset of input rows whose specified field values fall within the given numeric interval [minimum, maximum], and (2) the Pearson or equivalent correlation between updated_articles and due_articles across those rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row provided — minItems validation error","More than 200 rows provided — maxItems exceeded","Field value not one of updated_articles or due_articles — enum validation error","minimum greater than maximum — may yield empty filtered set with no correlation possible","null values in both measures — correlation undefined or returned as null","date fields not matching YYYY-MM-DD pattern — schema validation error","Non-numeric values in updated_articles or due_articles fields — type validation error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously (a) restrict a knowledge base maintenance dataset to a specific numeric range on one of its two measures and (b) quantify the linear relationship between updated_articles and due_articles in a single $0.01 call. It is ideal for content operations teams that want to understand whether article update activity tracks with article due counts across document groups, without sending data to an external prediction or lookup service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:49.021Z","isFirstParty":false,"canonicalSlug":"knowledge-base-maintenance-numeric-interval-filter-two-measure-cccfdb1b"}