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Road Segment Observations — Record Quality Audit, String Normalisation & Duplicate Key Report
x402
Road Segment Observations — Record Quality Audit, String Normalisation & Duplicate Key Report 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).
Runs three local analytical reports on road segment observation records (length_m, travel_seconds): a record quality audit, string normalisation, and duplicate key detection — no external lookups or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Road segment observations — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 reports: (1) a record quality audit flagging issues with field completeness, value ranges, and date formats; (2) a string normalisation report showing raw vs. normalised station_group and other text fields; (3) a duplicate key report identifying rows sharing the same row_id or composite keys. All processing is local with no external data fetching.
Example use cases
Pre-pipeline data quality check
“Before I load this road segment dataset into our warehouse, can you run a quality audit, normalise the station_group strings, and flag any duplicate row IDs? I have 120 rows with date, length_m, and travel_seconds fields.”
Duplicate key investigation in traffic data
“I think there are duplicate keys in my road observation export — can you check for duplicate row_id and station_group combinations across these 80 records and also tell me if the string fields look clean?”
Cleaning sensor readings before reporting
“We pulled travel time sensor data for Q3 — about 180 rows with length_m and travel_seconds — and need a record quality audit and string normalisation before we hand it off to the analytics team. Can you run those checks and give me a duplicate key report too?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-15-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, self-contained data quality pass on road segment observation records — specifically for auditing record completeness, normalising string fields, and detecting duplicate keys — without relying on any external lookup, prediction service, or professional assessment. It is ideal as a pre-processing step before loading road or traffic sensor data into a pipeline or analytics system, and supports up to 200 rows per call at very low cost.
Side effects
- More than 200 rows submitted — endpoint rejects with max-items violation
- Missing required fields (row_id, station_group, date, length_m, travel_seconds) cause row-level validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected at input
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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