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Transport Ridership — Duplicate Key Report + Numeric Row Ordering
x402
Transport Ridership — Duplicate Key Report + 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 2026-10-30).
Analyzes up to 200 transport ridership records to produce a duplicate key report and a numeric row ordering report for passenger_count or service_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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: (1) a duplicate key report identifying row_ids that appear more than once in the submitted dataset, and (2) a numeric row ordering report that ranks all submitted rows by the chosen field (passenger_count or service_count), all computed locally without external lookups.
Example use cases
Transit data quality audit
“I have 120 rows of bus ridership records with row_id, region, date, passenger_count, and service_count — can you check them for duplicate row IDs and also give me a numeric ordering by passenger_count?”
Service count ranking for regional planning
“Here are 80 transport ridership records across multiple regions. Can you order them numerically by service_count and flag any duplicate keys in the dataset?”
Pre-import ridership data validation
“Before I import these 200 transit ridership rows into our database, can you run a duplicate key report and rank the rows by passenger_count so I can spot anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-058?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and numeric ordering of transport ridership data in a single call for up to 200 rows. It is ideal for pre-processing or auditing transit datasets before ingestion, without requiring any external data sources or live lookups. Prefer it over general-purpose data tools when you want a cost-effective, deterministic, offline analysis of ridership records.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, region, date, passenger_count, service_count) causes schema rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Empty rows array (minItems:1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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