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Transport Ridership String Normalisation and Numeric Interval Filter
x402
Transport Ridership String Normalisation and Numeric Interval Filter 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).
Normalises string fields and filters rows by numeric interval for transport ridership records (passenger_count, service_count) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied transport ridership records (passenger_count, service_count). 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: one covering string normalisation applied to the region and date fields in the supplied rows, and one showing which rows have the specified numeric field (passenger_count or service_count) within the given minimum–maximum interval, for up to 200 input rows.
Example use cases
Bus ridership range audit
“I have 180 rows of daily bus ridership data with region names and passenger counts — can you normalise the region strings and filter to only keep rows where passenger_count is between 0 and 300? I need both the normalisation report and the filtered results.”
Rail service count validation
“Can you take these 95 rail service records, normalise the region labels, and then filter on service_count so I only see rows where it falls between 10 and 200? Give me both output reports.”
Transit data quality cleanup
“I've got a messy dataset of 60 transit ridership rows with inconsistent region strings and some extreme passenger_count outliers — please normalise the strings and filter rows where passenger_count is between 5 and 1000 so I can see what's in range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-026?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 transport ridership records and need both string normalisation on region/date fields and a numeric interval filter on passenger_count or service_count in a single low-cost call. It is purpose-built for transit domain data and returns two independent reports at $0.01 USDC — prefer it over general-purpose data cleaning tools when your data matches the ridership schema exactly.
Side effects
- Input array exceeds 200 rows — request rejected
- row_id missing or empty — row validation fails
- date field does not match YYYY-MM-DD pattern — schema validation error
- minimum greater than maximum — filter produces empty result set or error
- passenger_count or service_count outside allowed numeric bounds — schema rejection
- Empty rows array — minimum 1 row required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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