{"uid":"cap_XamDc9MpnjbJR2XJmltLi","slug":"road-segment-observations-record-quality-audit-string-normalisation-c6b6b249","name":"Road Segment Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Road segment observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied road segment observations records (length_m, travel_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-15-196?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_s5OhUj8bWW-sGFHVe89-k","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":"Audits record quality, normalises strings, and orders rows numerically for up to 200 road segment observation records containing length_m and travel_seconds fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on these road segment observations — I have 12 rows with row_id, station_group, date, length_m, and travel_seconds fields — and use length_m as the numeric field?","exampleUseCases":[{"title":"Pre-ingestion road data validation","prompt":"I have 80 rows of road segment observations with length_m and travel_seconds columns and I want to check them for quality issues, normalise the station_group strings, and sort them by length_m before I load them into the database."},{"title":"Travel time data quality review","prompt":"Can you audit the record quality and run string normalisation on these 45 road segment records, ordering everything by travel_seconds so I can spot anomalies in our highway monitoring dataset?"},{"title":"Cleaning station group labels","prompt":"Our road observation export has inconsistent capitalisation in the station_group field across 150 rows — can you normalise those strings and also do a full record quality audit and numeric ordering on length_m for me?"}],"resultDescription":"Three independent analytical reports for the submitted road segment rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report for the station_group and related text fields; and (3) a numeric row ordering report sorting rows by the selected field (length_m or travel_seconds). All processing is performed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, length_m, travel_seconds) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure","Selecting a field value outside the enum ['length_m','travel_seconds'] returns a bad request error","Empty rows array returns a minimum items validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality operations (record audit, string normalisation, numeric ordering) on road segment observation data in a single low-cost call. It is ideal for pre-ingestion pipeline validation of transportation datasets where you want to catch bad records, clean text fields, and sort numeric columns without writing custom scripts. Prefer it over general-purpose data tools when your data specifically has the road segment schema (length_m, travel_seconds, station_group).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:35:46.119Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-record-quality-audit-string-normalisation-c6b6b249"}