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Transport Ridership Category Frequencies & Numeric Row Ordering
x402
Transport Ridership Category Frequencies & 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 2026-10-30).
Analyzes transport ridership records to produce category frequency counts and numeric row ordering for passenger_count or service_count fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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
Returns two independent analytical reports: (1) a category frequency report showing how often each distinct region value appears across the supplied rows, and (2) a numeric row ordering report ranking all rows by the selected numeric field (passenger_count or service_count), up to 200 rows total.
Example use cases
Regional ridership frequency breakdown
“I have daily bus ridership records for 10 regions over the past month — can you count how many times each region appears in the dataset and also rank all the rows by passenger_count?”
Service count ordering for route planning
“I need to rank my 50 transit route records by service_count and also see how frequently each region shows up — here are the rows with row IDs, dates, regions, passenger counts, and service counts.”
Multi-day transit data audit
“Can you analyze these 200 transit records from Q3, tell me the category frequencies by region, and order the rows numerically by passenger_count so I can see which days had the highest ridership?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-100?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw transport ridership tabular data (up to 200 rows) and need both a categorical frequency count by region and a numeric ordering of rows by a ridership metric in a single cost-efficient call. It is ideal for batch offline analytics on supplied data without needing live lookups, predictions, or external data sources.
Side effects
- Missing required fields (row_id, region, date, passenger_count, service_count) causes validation failure
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the row limit
- Invalid field enum value (not passenger_count or service_count) causes rejection
- Empty rows array returns an error
- Numeric values outside allowed range cause validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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