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Road Segment Observations — Numeric Row Ordering + Keyed Dataset Comparison
x402
Road Segment Observations — Numeric Row Ordering + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Performs two analytical reports on road segment observation data: numeric row ordering and keyed dataset comparison for length_m or travel_seconds fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Road segment observations — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison 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) a numerically ordered ranking of the submitted road segment rows by the selected field (length_m or travel_seconds), and (2) a keyed comparison between the primary dataset and the 'other' dataset matched by row_id, highlighting differences in the chosen metric.
Example use cases
Before/after road works comparison
“I collected road segment travel times before and after road resurfacing works — both datasets have the same row_ids. Can you compare them keyed by row_id and also order both by travel_seconds so I can see which segments improved the most?”
Station group travel time ranking
“Here are 80 road segment observations from different station groups with their travel_seconds values. Can you rank them numerically by travel_seconds and compare this week's dataset against last week's using row_id as the key?”
Segment length anomaly audit
“I have two snapshots of road segment length_m data from the same 30 segments — one from our field team and one from the GIS system. Can you order both by length_m and do a keyed comparison by row_id to find any discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-15-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured road segment observation data with both length_m and travel_seconds fields and need two simultaneous analytical outputs — a numeric ranking and a keyed cross-dataset comparison — without requiring external data lookups, predictions, or live traffic data. Best when datasets are up to 200 rows and you already have the data locally.
Side effects
- Missing required fields (row_id, station_group, date, length_m, travel_seconds) cause validation errors
- Exceeding 200 rows per dataset returns an error
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in the selected field may affect ordering and comparison results
- Mismatched row_ids between primary and comparison datasets may produce incomplete comparison output
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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