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Road Segment Observations — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Road Segment Observations — Record Quality Audit + String Normalisation + 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).
Runs three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 road segment observation rows containing length and travel-time fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Road segment observations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 returned together: (1) a record quality audit flagging missing values, out-of-range entries, and structural issues; (2) a string normalisation report showing how station_group and other string fields have been standardised; and (3) a two-measure correlation report quantifying the statistical relationship between length_m and travel_seconds across the supplied rows.
Example use cases
Traffic data quality check before pipeline ingestion
“Before I load these 150 road segment records into our database, can you run a quality audit on them and flag any bad rows? Each record has a row_id, station_group, date, length_m, and travel_seconds.”
Station group label normalisation for reporting
“My road observation export has inconsistent station group names — things like 'Group A', 'group-a', 'GROUP A'. Can you normalise those strings across these 80 rows and give me a report of what changed?”
Correlation analysis between road length and travel time
“I have 200 road segment observations with length in metres and travel time in seconds. Can you tell me how strongly those two measures are correlated, so I know if longer roads consistently take more time to travel?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-15-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three specific analytics (quality audit, string normalisation, and two-measure correlation) applied simultaneously to road segment observation data in a single low-cost call. It is ideal for pre-pipeline data validation of traffic or road sensor exports where you want consistency checks and a statistical correlation summary without setting up a local analytics stack. It is not suitable for live traffic lookups, route planning, map data, weather, or any operation requiring external data sources.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, length_m, travel_seconds) on any row — row flagged or request rejected
- Date field not matching YYYY-MM-DD pattern — validation failure
- Fewer than 2 rows supplied — correlation computation may fail or return null
- Non-numeric values in length_m or travel_seconds — parsing error or null handling
- Malformed JSON body — HTTP 400 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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