{"uid":"cap__D0fAta0nly6DckbshuFc","slug":"road-segment-observations-exact-row-deduplication-two-measure-ed84eb5c","name":"Road Segment Observations — Exact Row Deduplication + Two-Measure Correlation","description":"Road segment observations — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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-15-050?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_CHzqvgzCwVl8oIDAqxpfd","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":"Deduplicates road segment observation records and computes correlation between road length and travel time across up to 200 rows.","exampleAgentPrompt":"I have up to 200 road segment observation records with length_m and travel_seconds fields — can you deduplicate the exact rows and then compute the correlation between road length and travel time across all my station groups?","exampleUseCases":[{"title":"Traffic dataset deduplication and correlation","prompt":"I've got a batch of 150 road segment records from our traffic sensors, each with a row_id, station_group, date, length_m, and travel_seconds. Can you remove any exact duplicate rows and tell me how strongly road length correlates with travel time?"},{"title":"Road planning data quality check","prompt":"Before I hand off this dataset to our planning team, can you deduplicate these 80 road segment observations and compute the Pearson correlation between length_m and travel_seconds so I know if longer roads consistently take more travel time?"},{"title":"Multi-group segment observation audit","prompt":"I have observations from two station groups — group-a and group-b — across about 50 dates. Can you check for exact duplicate rows and then run a two-measure correlation on the length_m versus travel_seconds fields across all of them?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate records from the submitted dataset, and (2) a two-measure correlation report quantifying the statistical relationship between length_m and travel_seconds across all supplied rows. Up to 200 input rows are supported per call.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, length_m, travel_seconds) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Null values in both length_m and travel_seconds leaving insufficient data for correlation — degenerate result","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you have road segment observation data (with length_m and travel_seconds fields) and need both exact duplicate removal and a pairwise correlation between the two numeric measures in a single API call. It is optimized for offline/batch analytical use on supplied data up to 200 rows, requiring no external data sources or live lookups. Prefer it over general-purpose analytics tools when you need a cost-effective, reproducible, schema-validated local computation on transportation segment records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:34:14.005Z","isFirstParty":false,"canonicalSlug":"road-segment-observations-exact-row-deduplication-two-measure-ed84eb5c"}