{"uid":"cap_nHQ1szjSzh931vCQxd1zt","slug":"road-segment-observations-numeric-row-ordering-two-measure-correlation-4dccaec9","name":"Road Segment Observations — Numeric Row Ordering + Two-Measure Correlation","description":"Road segment observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied road segment observations records (length_m, travel_seconds). 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-weather-15-120?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","length_m","travel_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"length_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"travel_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","length_m":10,"station_group":"group-a","travel_seconds":1},{"date":"2026-10-02","row_id":"row-2","length_m":20,"station_group":"group-b","travel_seconds":2},{"date":"2026-10-03","row_id":"row-3","length_m":15,"station_group":"group-a","travel_seconds":3},{"date":"2026-10-04","row_id":"row-4","length_m":30,"station_group":"group-b","travel_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["length_m","travel_seconds"],"type":"string","default":"length_m"}}},"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_JQnN5Vgo5nm9P5G3zeoHI","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":"Sorts road segment observation records by numeric value and computes correlation between length_m and travel_seconds for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have road segment observations with length_m and travel_seconds for about 50 segments — can you sort them numerically by length_m and also compute the correlation between length_m and travel_seconds?","exampleUseCases":[{"title":"Traffic corridor speed analysis","prompt":"I've got 120 road segment records with length in meters and travel time in seconds — sort them by travel_seconds and tell me how strongly travel time correlates with road length."},{"title":"Road network quality ranking","prompt":"Here are 80 road segment observations from our monitoring stations — order them numerically by length_m and run a two-measure correlation between length_m and travel_seconds so I can identify patterns."},{"title":"Segment benchmarking for route planning","prompt":"Can you take these 45 road segment records with their length_m and travel_seconds values, sort them by length_m, and compute the correlation between those two measures?"}],"resultDescription":"Returns two analytical reports: (1) the road segment records sorted in numeric order by the specified field, and (2) a correlation analysis between length_m and travel_seconds across the supplied rows — all computed locally on the provided data with no external lookups.","failureModes":["More than 200 rows submitted — only up to 200 rows are supported","Missing required fields (row_id, date, length_m, travel_seconds) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) causes rejection","Null values in numeric fields may reduce correlation reliability","Invalid enum value for 'field' parameter causes error"],"whenToPreferThis":"Choose this endpoint when you have road segment observation data (length and travel time) and need both a numeric sort of records and a statistical correlation between the two measures in a single call for up to 200 rows, without requiring live traffic data, predictions, or external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:34:09.724Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-numeric-row-ordering-two-measure-correlation-4dccaec9"}