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Transport Ridership Deduplication and Base-100 Series
x402
Transport Ridership Deduplication and Base-100 Series 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).
Deduplicates transport ridership rows and computes a Base-100 indexed time series for passenger or service counts across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transport ridership — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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 deduplicated set of the supplied transport ridership rows with exact duplicates removed, and (2) a Base-100 indexed time series for the chosen field (passenger_count or service_count) relative to the specified base_index row, for up to 200 input records.
Example use cases
Monthly transit ridership baseline comparison
“I've got 120 rows of monthly ridership data for regions North and South from 2024 — deduplicate the records and give me a base-100 series for passenger_count anchored to the first row so I can compare growth across regions.”
Service count anomaly cleanup for transit report
“Our transit dataset has some duplicate entries mixed in — can you deduplicate up to 180 rows and produce a base-100 index for service_count starting at index 0 so we can spot outliers cleanly?”
Regional ridership trend indexing
“I have daily ridership rows for three regions over the last quarter — please deduplicate the 90 records and generate a base-100 series on passenger_count from row 0 so we can see how each region's ridership trended relative to that baseline.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-05-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw transport ridership records (passenger counts and service counts) that need exact duplicate removal and a relative Base-100 index series computed locally without any external lookups or predictions. Ideal for batch preprocessing of up to 200 rows at $0.01 per call when you need both deduplication and indexing in a single low-cost operation.
Side effects
- More than 200 rows submitted — request will be rejected due to maxItems constraint
- Missing required fields (row_id, region, date, passenger_count, or service_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- base_index out of range (>= number of rows) may produce undefined behavior
- Null values in the chosen field may affect Base-100 series calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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