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Transaction Fee Observations — Base-100 Series + Secondary-Measure Weighted Mean
x402
Transaction Fee Observations — Base-100 Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Computes a Base-100 index series and a transaction-count-weighted mean from user-supplied transaction fee observation records using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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: (1) a Base-100 index series rebasing the selected field (fee_units or transaction_count) relative to the chosen base row, and (2) a weighted mean of the primary field weighted by the secondary measure (transaction_count or fee_units), computed locally from the supplied rows with no external data lookups.
Example use cases
Normalizing exchange fee history to baseline
“I have 10 days of exchange fee records with fee_units and transaction counts by instrument group. Can you index the fee_units as a Base-100 series starting from row 0 and also give me the transaction-count-weighted mean so I can see how fees evolved relative to the starting day?”
Comparing fee trends across instrument groups
“I've got 50 rows of transaction fee observations covering two instrument groups over the past quarter. Run a Base-100 normalization on fee_units starting at row index 0 and compute the weighted mean using transaction_count as the weight, so I can compare group performance.”
Benchmarking fees against a mid-period baseline
“Here are 30 rows of daily fee_units and transaction_count data. I want to re-base the index to start at row 15 instead of the first row, and get the secondary-measure weighted mean — so I can benchmark fees against a mid-period reference point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-166?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected transaction fee observation data (up to 200 rows) and need both a Base-100 normalization series and a transaction-count-weighted mean in a single call, without any external data lookup or live market feeds. It is ideal for offline/batch analytical reporting on fee datasets where two complementary statistical views are needed cheaply ($0.01 USDC for both reports). Prefer alternatives if you need live fee data retrieval, forecasting, or more than 200 rows.
Side effects
- Rows array is empty or exceeds 200 items — request rejected
- Row missing required fields (row_id, date, fee_units, transaction_count, instrument_group) — validation error
- base_index out of range for the provided row count — error response
- Null values in fee_units or transaction_count may affect weighted mean computation
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Payment not completed via x402 protocol — service not rendered
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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