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Road Segment Observations — Exact Row Deduplication + Two-Measure Correlation
x402
Road Segment Observations — Exact Row Deduplication + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Deduplicates road segment observation records and computes correlation between road length and travel time across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Traffic dataset deduplication and correlation
“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?”
Road planning data quality check
“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?”
Multi-group segment observation audit
“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?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-15-050?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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