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Transport Ridership Record Quality Audit + Keyed Dataset Comparison
x402
Transport Ridership Record Quality Audit + 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).
Performs a record quality audit and keyed dataset comparison on up to 200 rows of transport ridership data (passenger_count, service_count), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Record quality audit + Keyed dataset comparison: Record quality audit + 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
Two independent reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or malformed fields in the primary dataset; and (2) a keyed dataset comparison showing row-by-row and field-level differences between the primary and secondary datasets matched on row_id. Both reports are generated locally with no external lookups.
Example use cases
Pre-analysis ridership data cleanse
“Before I run my monthly transit report, can you audit this batch of 80 ridership records for quality issues? Each row has a row_id, region, date, passenger_count, and service_count — flag anything that looks wrong or missing.”
Reconcile two ridership data pulls
“I have two exports of the same ridership dataset from different systems — about 120 rows each with row_id, region, date, passenger_count, and service_count. Can you compare them keyed by row_id and tell me which rows or fields differ between the two?”
Validate updated ridership figures
“My team just updated the passenger_count and service_count figures for 60 routes. Can you do a quality audit on the new dataset and also compare it against the original version to show me exactly what changed row by row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a keyed comparison of two transport ridership datasets in a single call at low cost ($0.01 USDC for both reports). It is ideal for reconciliation workflows between two versions of the same dataset, pre-analysis data validation, or spotting discrepancies introduced during data updates. It does not perform live lookups, predictions, or external enrichment — prefer it for pure offline analytical reporting on supplied data up to 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, region, date, passenger_count, service_count) causes schema rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- row_id values exceeding 80 characters are rejected
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array returns an error (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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