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Road Segment Observations — Numeric Row Ordering + Trailing Mean Series
x402
Road Segment Observations — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Computes numeric row ordering and trailing mean series for road segment observation records (length_m, travel_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Road segment observations — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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
Two analytical reports: (1) numeric row ordering of the submitted records and (2) a trailing mean series for the chosen field (length_m or travel_seconds) computed over the specified rolling window, both derived entirely from the supplied data with no external lookups.
Example use cases
Smoothing daily travel time fluctuations
“I have 10 daily road segment records with travel_seconds values that fluctuate a lot — can you give me the numeric row ordering and a trailing mean with a window of 3 to smooth them out?”
Ranking segments by road length
“Here are 50 road segment observations across two station groups — please compute the numeric row ordering and trailing mean series for the length_m field with a window of 5 so I can see the trend.”
Detecting trends in commute data
“I've collected 200 road segment entries over the past year with station_group, date, length_m, and travel_seconds — run numeric row ordering and trailing mean on travel_seconds with a window of 7 so I can spot any long-term patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-15-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular road segment data with length or travel time fields and need both a ranked row ordering and a rolling/trailing mean series computed in one call. It is ideal for lightweight analytical preprocessing of up to 200 rows without requiring a full data pipeline. Prefer it over general-purpose analytics tools when you want a fast, low-cost ($0.01 USDC) dual-report computation on supplied data with no external dependencies.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected, exceeds max
- Window size larger than number of rows — may produce sparse or empty trailing mean series
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, date, length_m, travel_seconds) — request rejected
- Non-numeric values in length_m or travel_seconds where numbers expected — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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