Transport Ridership Record Quality Audit and Exact Row Deduplication 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 transport ridership records for data quality issues and identifies exact duplicate rows across up to 200 rows of passenger and service count data, returning two independent analytical reports.
Transport ridership — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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.
Returns two independent reports: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, malformed dates, or invalid fields in the ridership rows; and (2) an exact row deduplication report identifying which rows are exact duplicates of one another, including row IDs and duplicate groupings. Both reports are produced locally without any external lookups or predictions.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-002?utm_source=zero.xyzChoose this endpoint when you need to simultaneously audit ridership record quality AND detect exact duplicate rows in a single API call at low cost ($0.01 USDC). It is ideal for pre-processing transport ridership datasets (passenger counts, service counts by region and date) before downstream analytics or reporting. It works entirely on supplied data with no external lookups, making it deterministic and privacy-safe. Prefer this over general-purpose data validation tools when your data specifically contains transport ridership fields (passenger_count, service_count, region, date).
| Field | Type | Description |
|---|---|---|
| rows | array |
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