{"uid":"cap_KZTZd4qQtLe83hiI6TNXs","slug":"road-segment-observations-numeric-row-ordering-base-100-series-cec18e5f","name":"Road Segment Observations — Numeric Row Ordering + Base-100 Series","description":"Road segment observations — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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-15-117?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_6tOLkIcW41vI3mHeyuISb","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":"Computes numeric row ordering and Base-100 index series for up to 200 road segment observation records (length_m or travel_seconds), returning two analytical reports using local engines.","exampleAgentPrompt":"I have road segment observations with length_m and travel_seconds for about 50 rows — can you rank them numerically by travel_seconds and also produce a Base-100 index series starting from row 0?","exampleUseCases":[{"title":"Compare road segment travel times","prompt":"I've got 80 road segment records with station groups and daily travel_seconds values — rank them numerically and give me a Base-100 index series using row 0 as the base, so I can compare relative congestion across segments."},{"title":"Index road lengths for corridor analysis","prompt":"I have 120 road segment observations with length_m data across different station groups — run numeric row ordering and a Base-100 series on length_m starting from index 0 so I can see which segments are relatively longer or shorter."},{"title":"Baseline travel-time benchmarking","prompt":"Here are 40 road segment records from October 2026 with travel_seconds measurements — order them numerically and produce a Base-100 index series anchored at row 5, focusing on the travel_seconds field."}],"resultDescription":"Returns two local analytical reports: (1) a numeric row ordering of the submitted road segment records ranked by the chosen field (length_m or travel_seconds), and (2) a Base-100 index series where the chosen base_index row equals 100 and all other rows are expressed relative to it. No external data is fetched; analysis is performed solely on the supplied rows.","failureModes":["Missing required row fields (row_id, date, length_m, travel_seconds) causes validation error","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) will fail pattern validation","Null values in the selected field may affect index computation","Invalid field enum value (not 'length_m' or 'travel_seconds') causes rejection","base_index out of range (0–199) will fail validation","Empty rows array (minItems: 1 not met) returns error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 road segment observation records and need both a numeric row ordering and a Base-100 relative index series computed locally — without any live data lookup, external enrichment, or prediction. It is ideal for lightweight, deterministic, offline analysis of length_m or travel_seconds at $0.01 per call delivering two reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:43.595Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-numeric-row-ordering-base-100-series-cec18e5f"}