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Transport Ridership Date-by-Category Pivot + Keyed Dataset Comparison
x402
Transport Ridership Date-by-Category Pivot + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Analyzes up to 200 transport ridership records by producing a date-by-category pivot table and a keyed comparison between two supplied datasets for passenger_count or service_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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 analytical reports: (1) a date-by-category pivot table cross-tabulating the selected field (passenger_count or service_count) across dates and regions, and (2) a keyed row-by-row comparison between the primary and secondary supplied datasets highlighting differences — all computed locally with no external data lookups.
Example use cases
Before/After Policy Change Ridership Comparison
“I have ridership data for two time periods — before and after we changed the bus schedule — both with region, date, passenger_count, and service_count. Can you pivot the before-period data by date and region for passenger_count, and then do a keyed comparison between the two datasets to show where ridership changed?”
Regional Transit Service Count Pivot
“Here are 150 rows of transit records across five regions over the last quarter, each with a date and service_count. Can you pivot these by date and category using service_count as the field, and also compare them against last quarter's figures I'll supply as the second dataset?”
Daily Passenger Load Cross-Region Audit
“I need to audit our daily passenger counts across regions A and B — I have two datasets, one from our internal system and one from the operator's report, both keyed by row_id, region, and date with passenger_count and service_count. Please pivot the internal dataset by date and region for passenger_count and compare it against the operator's dataset to find any mismatches.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured transport ridership data (passenger_count, service_count) already in hand and need both a date-by-region pivot analysis and a comparison between two versions of the dataset in a single paid call. It is best for offline/batch analytical workflows where you supply all data locally and need no live data fetching, predictions, or external enrichment.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, region, date, passenger_count, or service_count) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation failure
- Empty rows array — minimum 1 item required
- Invalid field enum value (must be 'passenger_count' or 'service_count') — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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