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Transport Ridership Data Quality Audit, Deduplication & Grouped Summary
x402
Transport Ridership Data Quality Audit, Deduplication & Grouped Summary 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).
Runs three analytical reports on transport ridership row data: a record quality audit, exact-row deduplication, and a grouped numeric summary of passenger_count or service_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary 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
Returns three independent reports: (1) a record quality audit flagging missing values, nulls, and anomalies per row; (2) an exact-row deduplication report identifying and removing duplicate records; and (3) a grouped numeric summary (totals, means, counts) of the selected field (passenger_count or service_count) broken down by region and/or date. All computed locally with no external lookups.
Example use cases
Pre-analysis data cleaning for transit agency
“Before I run my ridership analysis, can you audit these 150 transport records for data quality issues, remove any exact duplicate rows, and give me a grouped summary of passenger_count by region? Here are the rows with row_id, region, date, passenger_count, and service_count.”
Validating merged ridership datasets
“I've merged two ridership exports and I'm worried there might be duplicates and bad records. Can you check these 200 rows for quality problems, flag exact duplicates, and summarize service_count totals grouped by region?”
Monthly ridership reporting sanity check
“Before I submit this month's ridership report, please audit the record quality, deduplicate any exact repeated rows, and show me a grouped numeric summary of passenger_count across the regions in this dataset of 80 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-211?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transport ridership records and need all three of: a data quality audit, deduplication of exact rows, and a grouped numeric summary — bundled at a single flat cost of $0.01 USDC. It is ideal for pre-processing pipeline steps before downstream analysis or reporting, especially when working offline without external data sources. Prefer alternatives if you need live transit data, predictions, or more than 200 rows.
Side effects
- Payload exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, region, date, passenger_count, service_count) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values outside allowed range (-1T to +1T) — validation error
- Empty rows array — minItems constraint violated
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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