{"uid":"cap_3u6edgvphmWD3ZJAhCkaj","slug":"road-segment-observations-record-quality-audit-string-normalisation-943a10ab","name":"Road Segment Observations — Record Quality Audit, String Normalisation & Duplicate Key Report","description":"Road segment observations — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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-15-192?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_hmc6N9_glYuEIOjNtM4QH","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 three local analytical reports on road segment observation records (length_m, travel_seconds): a record quality audit, string normalisation, and duplicate key detection — no external lookups or predictions.","exampleAgentPrompt":"Can you audit the quality of my road segment observation records, normalise the station group strings, and check for duplicate row IDs? I have about 50 rows with fields like row_id, station_group, date, length_m, and travel_seconds.","exampleUseCases":[{"title":"Pre-pipeline data quality check","prompt":"Before I load this road segment dataset into our warehouse, can you run a quality audit, normalise the station_group strings, and flag any duplicate row IDs? I have 120 rows with date, length_m, and travel_seconds fields."},{"title":"Duplicate key investigation in traffic data","prompt":"I think there are duplicate keys in my road observation export — can you check for duplicate row_id and station_group combinations across these 80 records and also tell me if the string fields look clean?"},{"title":"Cleaning sensor readings before reporting","prompt":"We pulled travel time sensor data for Q3 — about 180 rows with length_m and travel_seconds — and need a record quality audit and string normalisation before we hand it off to the analytics team. Can you run those checks and give me a duplicate key report too?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging issues with field completeness, value ranges, and date formats; (2) a string normalisation report showing raw vs. normalised station_group and other text fields; (3) a duplicate key report identifying rows sharing the same row_id or composite keys. All processing is local with no external data fetching.","failureModes":["More than 200 rows submitted — endpoint rejects with max-items violation","Missing required fields (row_id, station_group, date, length_m, travel_seconds) cause row-level validation errors","Malformed date strings not matching YYYY-MM-DD pattern rejected at input","Numeric values outside allowed range (-1e12 to 1e12) rejected","Empty rows array returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need a fast, self-contained data quality pass on road segment observation records — specifically for auditing record completeness, normalising string fields, and detecting duplicate keys — without relying on any external lookup, prediction service, or professional assessment. It is ideal as a pre-processing step before loading road or traffic sensor data into a pipeline or analytics system, and supports up to 200 rows per call at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:39.135Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-record-quality-audit-string-normalisation-943a10ab"}