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Transaction Fee Observations — Base-100 Series + Date-by-Category Pivot
x402
Transaction Fee Observations — Base-100 Series + Date-by-Category Pivot 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).
Generates two local analytical reports (Base-100 indexed series and date-by-category pivot table) from user-supplied transaction fee observation records, covering fee_units or transaction_count metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied transaction fee observations records (fee_units, transaction_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 computed locally from the supplied data: (1) a Base-100 indexed time series for the selected field (fee_units or transaction_count) anchored at the specified base_index row, showing relative change across dates and instrument groups; (2) a date-by-category pivot table cross-tabulating the selected metric by date and instrument_group. Supports up to 200 input rows.
Example use cases
Benchmarking fee trends across instrument groups
“I have monthly transaction fee data for three instrument groups over the past year — can you index the fee_units to a Base-100 series starting from the first row and also pivot them by date and category so I can see which groups are growing fastest?”
Comparing transaction volumes by category
“Here's my transaction count data across instrument groups A, B, and C for the last quarter — please run both the Base-100 series and a date-by-category pivot on transaction_count, starting the index at row 0, so I can compare volume trends side by side.”
Normalizing fee observations for a financial report
“I need to normalize these 50 rows of daily fee_units observations across our settlement and clearing instrument groups to a common Base-100 scale starting from row 5, and also produce a pivot table of fees by date and group for our monthly report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observation records with instrument_group and date dimensions, and need both a normalized Base-100 trend series and a date-by-category pivot computed from your own supplied data — no external data fetch or live market lookup needed. Prefer it over general analytics tools when you want a fixed-cost ($0.01 USDC), deterministic, offline computation that returns two reports in a single call.
Side effects
- More than 200 rows submitted — request will be rejected due to maxItems constraint
- Missing required row fields (row_id, instrument_group, date, fee_units, transaction_count) — validation error
- Invalid date format (not YYYY-MM-DD pattern) — schema validation failure
- base_index out of bounds (references a row that doesn't exist in the submitted data) — computation error
- Numeric values outside allowed range (beyond ±1,000,000,000,000) — validation rejection
- Empty rows array — minItems:1 constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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