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Transport Ridership — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Transport Ridership — Record Quality Audit + 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 2026-10-25).
Audits data quality and computes a service-count-weighted mean on up to 200 transport ridership records (passenger_count, service_count), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Record quality audit + Secondary-measure weighted mean: Record quality audit + 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
Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields across the supplied rows, and (2) a secondary-measure weighted mean calculation where passenger_count (or service_count) values are averaged using the complementary measure as weights. Both reports are computed locally with no external lookups.
Example use cases
Bus network data health check
“I have a dataset of 50 daily bus ridership records across regions — can you audit them for quality issues and also give me a service-count weighted mean of the passenger_count values? The rows have row_id, region, date, passenger_count, and service_count fields.”
Transit agency monthly report prep
“Before I finalize our monthly transit report, can you check these 120 ridership rows for data quality problems and compute a weighted average passenger count using service_count as the weight? I want to catch any nulls, outliers, or formatting issues first.”
Comparing ridership quality across regions
“I've got ridership data from three regions for last quarter — about 80 rows total — and I need both a quality audit to flag any bad records and a weighted mean of passenger_count weighted by service_count. Can you run both reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean computed together on transport ridership data in a single low-cost call. It is purpose-built for passenger_count and service_count fields, returns two reports for the price of one, and operates entirely on supplied data without any live external lookups — making it suitable for offline batch validation and descriptive statistics on transit datasets of up to 200 rows.
Side effects
- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, region, date, passenger_count, service_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- All values null for the selected field renders weighted mean undefined
- Payment not included or insufficient — x402 payment of 0.01 USDC required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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