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Transport Ridership Analytics: Numeric Row Ordering + Two-Measure Correlation
x402
Transport Ridership Analytics: Numeric Row Ordering + 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 2026-10-25).
Computes numeric row ordering and Pearson/Spearman correlation between passenger_count and service_count for up to 200 supplied transport ridership records, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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 numeric row ordering of the supplied records ranked by the specified field (passenger_count or service_count), and (2) a correlation analysis between passenger_count and service_count across all submitted rows. All computation is performed locally on the supplied data — no external data sources, predictions, or live lookups are involved.
Example use cases
Transit efficiency correlation analysis
“I have monthly ridership data for 50 bus routes — can you calculate the correlation between passenger_count and service_count across all routes, and also rank each route by passenger_count?”
Regional ridership ranking for planning
“Here are 120 rows of regional transit records with dates, passenger counts, and service counts — please rank them numerically by service_count and also run a correlation analysis between the two measures so I can see if busier routes get more services.”
Daily transit data quality review
“I've collected 30 days of daily ridership data for two groups — can you order all the rows by passenger_count and tell me how strongly passenger volume correlates with service frequency across those days?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected transport ridership tabular data (up to 200 rows) and need both a ranked ordering of rows by a numeric measure AND a statistical correlation between passenger_count and service_count in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup or prediction is needed, and where two reports for $0.01 USDC provides cost efficiency over separate API calls.
Side effects
- Fewer than 1 row supplied — validation error returned
- More than 200 rows submitted — request rejected with item limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, region, date) — schema rejection
- Null values in both passenger_count and service_count — correlation report may be undefined or NaN
- Invalid field enum value — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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