{"uid":"cap_zq8kIKObzFVZkdGR_rnV5","slug":"road-segment-observations-exact-row-deduplication-numeric-row-ordering-908867f0","name":"Road Segment Observations — Exact Row Deduplication + Numeric Row Ordering","description":"Road segment observations — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-15-042?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_vvw7QAFA98hO73eoy7KPv","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":"Deduplicates road segment observation rows and applies numeric row ordering to length_m or travel_seconds fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of road segment observation records with row IDs, station groups, dates, length in meters, and travel seconds — can you deduplicate them and give me numeric row ordering on the travel_seconds field? Here are up to 200 rows.","exampleUseCases":[{"title":"Clean duplicate traffic sensor records","prompt":"I've collected road segment observations from multiple sensors and suspect there are duplicate rows. Can you deduplicate these records and sort them numerically by length_m? I have about 150 rows with row IDs, station groups, dates, and measurements."},{"title":"Audit travel time dataset before analysis","prompt":"Before I run my traffic model, I need to clean my dataset — can you check these 80 road segment observation rows for exact duplicates and apply numeric ordering on travel_seconds so I can see the ordering clearly?"},{"title":"Normalize road data for reporting","prompt":"I have road segment data from three different station groups collected over the past month. Please deduplicate the rows and give me a numerically ordered report on the length_m values so I can prepare a summary for the team."}],"resultDescription":"Two analytical reports covering: (1) exact row deduplication results identifying and removing repeated records from the submitted road segment observations, and (2) numeric row ordering applied to the selected field (length_m or travel_seconds), all processed locally with no external lookups. Reports cover up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, length_m, travel_seconds) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","field parameter set to an unrecognized value — enum validation error","Empty rows array — minimum items constraint violation","Null numeric values may affect ordering output"],"whenToPreferThis":"Choose this endpoint when you need deterministic, local deduplication and numeric ordering of road segment observation data (length_m or travel_seconds) without any live data lookup or external prediction. Best suited for data cleaning pipelines, pre-analysis audits, or reporting workflows where you supply your own dataset of up to 200 rows and need two structured analytical reports at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:42:07.850Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-exact-row-deduplication-numeric-row-ordering-908867f0"}