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Road Segment Observations — Exact Row Deduplication + Grouped Numeric Summary
x402
Road Segment Observations — Exact Row Deduplication + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Deduplicates road segment observation records and produces a grouped numeric summary for length_m or travel_seconds fields, processing up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Road segment observations — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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 reports: (1) an exact row deduplication report identifying and removing fully duplicate records, and (2) a grouped numeric summary of the selected field (length_m or travel_seconds) aggregated by station_group, providing descriptive statistics per group.
Example use cases
Clean duplicate sensor readings
“I've got a batch of road sensor observations with potential duplicate rows — each has a row_id, station_group, date, length_m, and travel_seconds. Can you deduplicate them exactly and give me a grouped numeric summary on travel_seconds by station group? Here are the 150 rows.”
Summarize segment lengths by group
“I need to analyze road segment lengths grouped by station. I have 80 records with row_id, date, station_group, length_m, and travel_seconds. Run the deduplication check and give me the grouped numeric summary for the length_m field.”
Audit transport data quality before reporting
“Before I finalize my traffic report, can you deduplicate these 200 road observation rows and produce a grouped numeric summary on travel_seconds? Each row has row_id, station_group, date, length_m, and travel_seconds fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-15-040?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have road segment observation data (up to 200 rows) and need both exact duplicate removal and grouped numeric statistics in a single call. It is ideal for data-quality pipelines that process transportation or traffic sensor records before downstream analysis or reporting, and when no live lookup, prediction, or external data enrichment is needed.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, station_group, date, length_m, or travel_seconds) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema error
- Empty rows array returns error
- Payment not included or insufficient USDC triggers 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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