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Transport Ridership Data Quality Audit, String Normalisation & Numeric Row Ordering
x402
Transport Ridership Data Quality Audit, String Normalisation & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Audits record quality, normalises strings, and orders rows numerically for transport ridership datasets containing passenger and service counts (up to 200 rows, 3 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied transport ridership records (passenger_count, service_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports per call: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) a string normalisation report for region and other text fields; and (3) a numeric row ordering report sorting rows by the specified field (passenger_count or service_count). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Pre-analysis ridership data cleanup
“I have a CSV of weekly bus ridership records across 8 regions — can you audit the data quality, normalise the region name strings, and sort all rows by passenger_count before I run my analysis?”
Detecting bad records in transit feeds
“Our automated transit feed dumped 150 rows into our system and some look malformed. Can you run a quality audit on these passenger_count and service_count records, normalise the region labels, and give me a numeric ordering by service_count?”
Monthly transit reporting data validation
“Before we publish our monthly transport ridership report, can you check these 80 rows for quality issues, clean up any inconsistent region strings, and order them numerically by passenger_count so the table is ready to go?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) batch quality audit of transport ridership records combined with string normalisation and numeric ordering in a single call — especially when you have up to 200 rows with passenger_count and service_count fields and do not need live predictions, external lookups, or professional assessments.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, region, date, passenger_count, service_count) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers a pattern validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment not fulfilled results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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