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Transport Ridership Duplicate Key Report & Numeric Interval Filter
x402
Transport Ridership Duplicate Key Report & Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Runs two local analytical reports on supplied transport ridership data: identifies duplicate row keys and filters rows by a numeric interval on passenger or service counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter 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
Returns two analytical reports: (1) a duplicate key report listing any row_ids that appear more than once in the supplied data, and (2) a numeric interval filter report listing all rows where the selected field (passenger_count or service_count) falls within the specified minimum and maximum bounds. Up to 200 rows processed per call.
Example use cases
Transit data ingestion quality check
“I just received a batch of 150 ridership records from our regional transit authority — can you scan them for any duplicate row IDs and also pull out only the rows where passenger_count falls between 100 and 2000?”
Service count anomaly bounding
“We have daily service count data across multiple regions. Can you run two reports: one to flag any repeated row keys, and one to filter the records where service_count is between 5 and 50?”
Ridership upload validation before database insert
“Before I insert these transit records into our database, can you check for any duplicate row IDs and show me which rows have a passenger_count between 0 and 300? I'll share the CSV data as rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-059?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline data quality checks on transport ridership datasets — specifically duplicate key detection and numeric range filtering — without requiring a live database, external lookup, or ML model. Ideal for pre-ingestion validation pipelines, batch data audits, or quick ad-hoc QA on transit data exports of up to 200 rows.
Side effects
- Empty rows array returns validation error
- More than 200 rows submitted causes rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Minimum greater than maximum may return empty interval filter results
- Missing required fields (row_id, region, date) causes item-level rejection
- Non-numeric values in passenger_count or service_count when not null cause type errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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