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Transport Ridership — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Transport Ridership — Numeric Interval Filter + Secondary-Measure Weighted Mean 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).
Filters transport ridership rows by a numeric interval on a chosen field and computes a service-count-weighted mean of passenger counts (or vice versa) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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) the subset of supplied rows whose chosen field (passenger_count or service_count) falls within the specified [minimum, maximum] interval, and (2) a secondary-measure weighted mean computed over the filtered records — all derived locally from the supplied data with no external lookups.
Example use cases
Peak-hour ridership band analysis
“Here are 120 transit records for last month — filter to only the rows where passenger_count is between 200 and 800, then give me the service_count-weighted mean of passenger_count for that filtered set.”
Low-service route identification
“I have 80 regional transport records with service_count and passenger_count — filter to rows where service_count is between 1 and 10, and compute the passenger_count-weighted mean of service_count for those routes.”
Outlier exclusion for ridership reporting
“Can you take my 200-row ridership dataset, exclude any records where passenger_count is outside the 100 to 2000 range, and return the service_count-weighted mean of passenger_count for the remaining records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transport ridership rows already in hand and need both an interval filter on a numeric field and a weighted mean computation in a single paid call. It is purpose-built for transit/ridership data (passenger_count, service_count) with a known numeric range. Prefer it over generic analytics services when you want two bundled reports (filter + weighted mean) at a fixed $0.01 USDC cost with no external data fetching.
Side effects
- Rows array is empty or exceeds 200 items — validation error
- minimum value greater than maximum value — produces empty filtered set or error
- missing required row fields (row_id, region, date, passenger_count, service_count) — schema validation failure
- all rows filtered out by interval — weighted mean is undefined or returns null
- non-date-format string in date field — schema pattern mismatch
- numeric values outside ±1,000,000,000,000 range — rejected by schema bounds
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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