{"uid":"cap_6TEe0F6OGcLERXqQiJQ9O","slug":"road-segment-observations-string-normalisation-base-100-series-e4d40875","name":"Road Segment Observations — String Normalisation + Base-100 Series","description":"Road segment observations — String normalisation + Base-100 series: String normalisation + 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-15-030?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_wFxK0JokyuttuZ274_3xt","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 string normalisation and base-100 index series for supplied road segment observation records (length_m, travel_seconds) — up to 200 rows, two analytical reports per call.","exampleAgentPrompt":"Can you normalise and build a base-100 index series for these road segment records — I have 4 rows with station groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, length_m values of 10, 20, 15, 30, and travel_seconds of 1, 2, 3, 4 — use length_m as the field and row 0 as the base index?","exampleUseCases":[{"title":"Baseline travel time comparison","prompt":"I have 50 road segment observations with length and travel time — can you build a base-100 index series using travel_seconds, anchoring to the first row, so I can compare how each segment performs relative to that baseline?"},{"title":"Normalise segment length dataset","prompt":"Can you normalise my road segment length_m data across these 120 rows spanning several station groups and dates in 2025? I want the string-normalised output so I can feed it into a downstream model."},{"title":"Multi-group road performance report","prompt":"I've got daily road observations from three station groups over 30 days — run both the string normalisation and base-100 series on the length_m field with base index at position 0 and give me the two reports."}],"resultDescription":"Returns two analytical reports for the supplied road segment rows: (1) a string-normalised representation of the chosen field (length_m or travel_seconds) and (2) a base-100 index series anchored at the specified base_index row. No external data is fetched; all computation is local to the engine.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, length_m, travel_seconds) causes a schema rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure","base_index out of range (≥ number of rows supplied) causes an error","Null values in the selected field may produce incomplete series output","Payment failure (insufficient USDC balance) blocks the call entirely"],"whenToPreferThis":"Choose this endpoint when you have road segment tabular data (length_m and/or travel_seconds) and need both a string normalisation pass and a base-100 index series computed together in a single cheap call ($0.01 USDC for two reports). It is ideal for offline/batch analytical preprocessing of up to 200 rows where no live traffic lookup, prediction, or external enrichment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:42:11.042Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-string-normalisation-base-100-series-e4d40875"}