{"uid":"cap_DXoDFgCGcc4bE8HKNjvGi","slug":"service-request-handling-numeric-interval-filter-two-measure-6b3f42b7","name":"Service Request Handling — Numeric Interval Filter + Two-Measure Correlation","description":"Service request handling — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied service request handling records (request_count, resolution_minutes). 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-operations-05-131?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","request_count","resolution_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"request_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"resolution_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","request_count":10,"resolution_minutes":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","request_count":20,"resolution_minutes":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","request_count":15,"resolution_minutes":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","request_count":30,"resolution_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["request_count","resolution_minutes"],"type":"string","default":"request_count"},"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_rJVbSiSVZ7fQVHs2rofJK","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 service request records by a numeric interval and computes correlation between request_count and resolution_minutes, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have service request data for four team groups from October 2026 — can you filter the rows where request_count is between 10 and 30, then compute the correlation between request_count and resolution_minutes across all 4 rows?","exampleUseCases":[{"title":"Support team volume vs resolution correlation","prompt":"Here's my support team's service request data for the last quarter — can you filter records where resolution_minutes is between 5 and 120, then tell me how strongly resolution_minutes correlates with request_count across those rows?"},{"title":"Identifying bottleneck teams by request load","prompt":"I have daily service request logs for groups A and B from October. Filter to rows where request_count is at least 15 and at most 50, then give me the correlation between request_count and resolution_minutes so I can see if busier days also take longer to resolve."},{"title":"IT ops data quality check with correlation","prompt":"Can you run an interval filter on my IT ops data keeping only rows where request_count falls between 0 and 25, and then compute the two-measure correlation between request_count and resolution_minutes for those filtered records?"}],"resultDescription":"Returns two analytical reports: (1) the subset of input rows where the selected field falls within the specified numeric interval, and (2) a two-measure correlation result quantifying the statistical relationship between request_count and resolution_minutes across the supplied dataset (up to 200 rows).","failureModes":["Empty rows array returns an error or empty result","Minimum greater than maximum causes invalid interval error","More than 200 rows submitted exceeds the row limit","Null values in request_count or resolution_minutes may reduce correlation sample size or cause errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Field enum value not matching 'request_count' or 'resolution_minutes' causes rejection"],"whenToPreferThis":"Choose this endpoint when you have pre-collected service request records (up to 200 rows) with request_count and resolution_minutes fields and need both a numeric range filter and a correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for offline or batch analytical workflows on help desk or IT operations data where no live lookup, prediction, or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:30:50.004Z","isFirstParty":false,"canonicalSlug":"service-request-handling-numeric-interval-filter-two-measure-6b3f42b7"}