{"uid":"cap_U4vpZ2rhKTAV_uM3CgIfI","slug":"road-segment-observations-record-quality-audit-string-normalisation-ac9e5ca3","name":"Road Segment Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Road segment observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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-15-205?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_yRHwvc4lD9bz9I0LQi7Zo","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 secondary-measure weighted mean — all in one call for up to 200 rows.","exampleAgentPrompt":"I have a batch of road segment observation records with fields like row_id, station_group, date, length_m, and travel_seconds — can you run a record quality audit, string normalisation, and a weighted mean on the travel_seconds field across up to 200 rows?","exampleUseCases":[{"title":"Traffic data quality check","prompt":"I've got a CSV of road segment observations from last month — each row has a station group, date, road length in metres, and travel time in seconds. Can you audit the record quality, normalise the station group strings, and compute a weighted mean on travel_seconds for me across all 180 rows?"},{"title":"Standardising station group labels","prompt":"Our road sensor dataset has inconsistent station group names like 'Grp-A', 'group_a', 'GROUP A' across 150 rows. Can you normalise those strings, run a quality audit on the records, and give me a weighted mean on the length_m field?"},{"title":"Pre-processing road data for reporting","prompt":"Before I import these 95 road observation rows into our dashboard, can you run a quality audit and string normalisation pass, and also calculate the weighted mean on travel_seconds so I can spot any anomalies?"}],"resultDescription":"Three analytical reports returned in a single response: (1) a record quality audit flagging missing, malformed, or out-of-range values per row; (2) normalised string representations of text fields such as station_group; (3) a secondary-measure weighted mean computed over the chosen numeric field (length_m or travel_seconds) across all submitted rows.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — request rejected with max-items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","field enum value not 'length_m' or 'travel_seconds' — rejected","Null numeric values may be excluded from weighted mean computation","row_id missing or exceeding 80 characters — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need to batch-process road segment observation records locally without any external lookups or live data — specifically when you need all three of a quality audit, string normalisation, and a weighted mean in a single low-cost call. Ideal for pre-processing transport data pipelines before loading into dashboards or databases, especially when working with up to 200 rows of length_m and travel_seconds data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:41:04.398Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-record-quality-audit-string-normalisation-ac9e5ca3"}