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Transport Ridership Daily Sum Series + Equal-Width Histogram
x402
Transport Ridership Daily Sum Series + Equal-Width Histogram 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).
Computes a daily sum time series and an equal-width histogram for transport ridership data (passenger_count or service_count) supplied as up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Daily sum series + Equal-width histogram: Daily sum series + Equal-width histogram 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 reports: (1) a daily sum series showing total values of the selected field (passenger_count or service_count) aggregated by date, and (2) an equal-width histogram with configurable bin count showing the frequency distribution of the selected field across all supplied rows.
Example use cases
City transit daily ridership rollup
“I have 150 rows of bus ridership records with passenger_count and service_count by date and region — can you compute a daily sum series and a 5-bin histogram for passenger_count so I can see daily totals and how ridership is distributed?”
Service count distribution for route audit
“Run a daily aggregate and a 10-bin equal-width histogram on service_count for these 200 transit records — I want to spot which days had unusually high or low service runs.”
Regional ridership pattern analysis
“I've got about 60 rows of transport data across two regions for last month. Can you produce a daily sum series and a 15-bin histogram for passenger_count so I can compare ridership patterns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-139?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a temporal daily-sum aggregation and a value-distribution histogram for transport ridership data in a single call, without any external lookup or live data source. Ideal for offline batch analysis of up to 200 pre-collected transit records where you want two complementary statistical views for a fixed $0.01 cost.
Side effects
- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, region, date, passenger_count, service_count) on any row
- Invalid date format (must match YYYY-MM-DD)
- bin parameter outside 1–30 range
- Null values in the selected field may be excluded from aggregation
- Values outside ±1,000,000,000,000 will fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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