{"uid":"cap_A2StseHyTt6As4sw7yAUR","slug":"road-segment-observations-record-quality-audit-string-normalisation-a74544db","name":"Road Segment Observations — Record Quality Audit + String Normalisation + Base-100 Series","description":"Road segment observations — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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-15-201?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_wst493Ad-dODdDVx7bEs-","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 data: a record quality audit, string normalisation, and a base-100 index series for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 index series on my road segment observations? I have rows with row_id, station_group, date, length_m, and travel_seconds — I want to index on the length_m field starting from row index 0.","exampleUseCases":[{"title":"Audit road sensor data quality","prompt":"I've got about 150 road segment records with station groups, dates, length in metres and travel seconds — can you run a record quality audit on them and tell me which rows have issues?"},{"title":"Normalise station group strings","prompt":"My road observation dataset has inconsistent capitalisation and spacing in the station_group field. Can you run the string normalisation report on these rows so I can clean them up?"},{"title":"Index travel times to base 100","prompt":"I want to create a base-100 index series from the travel_seconds field in my road segment data, starting from row index 0. Can you run that analysis across my 80 records?"}],"resultDescription":"Returns three independent analytical reports for the submitted road segment rows: (1) a record quality audit flagging missing, out-of-range, or malformed values; (2) a string normalisation report standardising text fields like station_group; and (3) a base-100 index series for the chosen numeric field (length_m or travel_seconds) anchored at the specified base_index row. All processing is local with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required row fields (row_id, date, length_m, travel_seconds) causes schema rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","base_index out of range (>199 or negative) causes an error","Empty rows array is rejected by minItems constraint","Extremely large or small numeric values near limits may cause edge-case results"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, normalise strings, and produce a base-100 index series on road segment observation records in a single paid call. It is particularly suited for transportation data pipelines where you want three diagnostic reports at once without external data lookups or predictions. Prefer it over single-purpose analytics endpoints when your dataset is under 200 rows and covers length_m or travel_seconds measurements by station group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:34:35.016Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-record-quality-audit-string-normalisation-a74544db"}