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Road Segment Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Road Segment Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering 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).
Audits record quality, normalises strings, and orders rows numerically for up to 200 road segment observation records containing length_m and travel_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Road segment observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied road segment observations records (length_m, travel_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports for the submitted road segment rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report for the station_group and related text fields; and (3) a numeric row ordering report sorting rows by the selected field (length_m or travel_seconds). All processing is performed locally with no external lookups.
Example use cases
Pre-ingestion road data validation
“I have 80 rows of road segment observations with length_m and travel_seconds columns and I want to check them for quality issues, normalise the station_group strings, and sort them by length_m before I load them into the database.”
Travel time data quality review
“Can you audit the record quality and run string normalisation on these 45 road segment records, ordering everything by travel_seconds so I can spot anomalies in our highway monitoring dataset?”
Cleaning station group labels
“Our road observation export has inconsistent capitalisation in the station_group field across 150 rows — can you normalise those strings and also do a full record quality audit and numeric ordering on length_m for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-15-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data-quality operations (record audit, string normalisation, numeric ordering) on road segment observation data in a single low-cost call. It is ideal for pre-ingestion pipeline validation of transportation datasets where you want to catch bad records, clean text fields, and sort numeric columns without writing custom scripts. Prefer it over general-purpose data tools when your data specifically has the road segment schema (length_m, travel_seconds, station_group).
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, length_m, travel_seconds) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Selecting a field value outside the enum ['length_m','travel_seconds'] returns a bad request error
- Empty rows array returns a minimum items validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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