{"uid":"cap_tha5xc11vdREzvDcl410G","slug":"road-segment-observations-string-normalisation-duplicate-key-report-de8e4acd","name":"Road Segment Observations — String Normalisation + Duplicate Key Report","description":"Road segment observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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-15-021?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}}},"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_XQp5vliRyjnGOqS3V054J","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":"Runs string normalisation and duplicate key detection on up to 200 road segment observation records (length_m, travel_seconds) and returns two analytical reports.","exampleAgentPrompt":"Can you check my road segment observations for duplicate keys and normalise the string fields? I have about 50 rows with fields like row_id, station_group, date, length_m, and travel_seconds — here's the data.","exampleUseCases":[{"title":"Pre-ingestion data quality check","prompt":"Before I load this batch of road segment records into our database, can you run a duplicate key check and string normalisation on them? I've got 120 rows with station_group, date, length_m, and travel_seconds fields."},{"title":"Audit traffic dataset for duplicates","prompt":"I exported road segment travel time data from our sensor system — about 80 rows — and I need to know if there are any duplicate row IDs or station-group/date combinations, plus have the string fields cleaned up."},{"title":"Validate consultant-supplied road data","prompt":"A consultant sent us a spreadsheet of road segment observations with length_m and travel_seconds values for 150 segments. Can you check it for duplicate keys and normalise all the string columns so the data is consistent?"}],"resultDescription":"Returns two reports: (1) a string normalisation report identifying and correcting inconsistent string values across fields like station_group and row_id, and (2) a duplicate key report flagging rows that share the same key combination. Both reports are generated locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, station_group, date, length_m, travel_seconds) on any row — validation failure","Invalid date format (not YYYY-MM-DD) — schema validation error","Payment not included or insufficient — 402 payment required error","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need to validate and clean road segment observation data containing length_m and travel_seconds fields, specifically needing both string normalisation and duplicate key detection in a single call. It is best suited for batch data quality checks on up to 200 rows before ingestion or analysis, with no need for live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:37.170Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-string-normalisation-duplicate-key-report-de8e4acd"}