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Transport Ridership — Numeric Row Ordering + Explicit Missing-Value Fill
x402
Transport Ridership — Numeric Row Ordering + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Sorts transport ridership rows numerically and fills missing passenger_count or service_count values using zero, mean, or median imputation across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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 analytical reports covering the supplied transport ridership records: one for numerically ordered rows and one for explicitly filled missing values in the chosen field (passenger_count or service_count). Results reflect only the supplied data with no external lookups or predictions.
Example use cases
Clean gaps in daily bus ridership
“I have daily bus ridership records for two regions with some missing passenger_count entries — can you sort the rows numerically and fill the gaps using the median value?”
Zero-fill missing service counts for reporting
“My transit service_count column has some nulls for the past quarter. Please order all 120 rows and replace the missing service_count values with zero so I can generate a clean report.”
Mean imputation before trend analysis
“Before I run a trend analysis, I need my 80 rows of ridership data sorted by row number and any missing passenger_count values filled in using the mean — can you do that?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transport ridership rows and need both numeric row ordering and missing-value imputation (zero, mean, or median) delivered as two bundled analytical reports in a single inexpensive call. Ideal for data-cleaning pipelines before downstream analysis of passenger or service count trends.
Side effects
- Rows exceeding 200 items will be rejected
- Rows missing required fields (row_id, region, date) will cause validation errors
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Numeric values outside ±1,000,000,000,000 range will be rejected
- Invalid method enum value (not zero/mean/median) will cause an error
- Invalid field enum value (not passenger_count/service_count) will cause an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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