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Shipment Costs Base-100 Index Series
x402
Shipment Costs Base-100 Index Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Converts a time-series of shipment cost or weight records into a Base-100 index series, normalizing values relative to a chosen reference row.
Price / call$0.01
Success—
StatusUnknown
How this service works
Shipment costs - Base-100 series: Base-100 series for Shipment costs. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded base-100 series deliverable.
Output
Returns a base-100 index series for the chosen numeric field (shipping_cost or weight_kg), where each record's value is expressed relative to the designated base row (=100). Output includes up to 200 indexed values with their corresponding row IDs, dates, and carriers, enabling trend comparison across time and carrier groups.
Example use cases
Carrier cost trend benchmarking
“I have 120 shipment records across two carriers from January through June. Can you normalize the shipping_cost field into a base-100 index starting from the very first row so I can compare how each carrier's costs have trended relative to that baseline?”
Weight-adjusted logistics indexing
“I want to index my package weight data over the last quarter — I have about 80 rows with dates, carrier names, and weight_kg values. Please compute a base-100 index using row 0 as the base so I can spot any weight distribution shifts over time.”
Monthly shipping cost benchmarking report
“Can you take these 200 shipment cost records and produce a base-100 index on the shipping_cost field, rebasing to row 5 so I can benchmark everything against that mid-series reference point?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-shipment-costs-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize shipment cost or weight data to a Base-100 index for trend comparison, benchmarking carriers, or reporting cost changes relative to a reference period. It is best suited for local, offline-style computation on up to 200 typed records without needing external enrichment, forecasting, or live data feeds. Prefer it over raw aggregation endpoints when the goal is relative indexing rather than absolute statistics.
Side effects
- Invalid date format (must match YYYY-MM-DD pattern) causes validation error
- base_index out of range (must be 0–199 and within actual row count) returns error
- Empty rows array or missing required fields (row_id, carrier, date, weight_kg, shipping_cost) causes schema rejection
- Null numeric values at the base_index row may cause division-by-zero or undefined index output
- Exceeding 200 rows returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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