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Transaction Fee Observations — Base-100 Rebase + Missing Value Fill
x402
Transaction Fee Observations — Base-100 Rebase + Missing Value Fill 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).
Applies Base-100 index normalization and explicit missing-value imputation to user-supplied transaction fee observation records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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
Two analytical reports per call: (1) a Base-100 rebased series for the specified field (fee_units or transaction_count), indexed relative to the chosen base row; (2) an explicit missing-value-filled version of the same records using the selected imputation method (zero, mean, or median). Covers up to 200 input rows.
Example use cases
Normalize exchange fee trends over time
“I have 150 rows of daily fee data across two instrument groups with some nulls in fee_units — please rebase the series to base-100 starting from index 0 and fill the missing values using the mean, so I can compare fee trends across groups.”
Impute missing transaction counts for reporting
“My transaction count column has several null entries scattered through the dataset — can you fill those missing values using the median method and also give me the base-100 rebased series for transaction_count, using rows up to 200?”
Prepare fee data for a month-over-month dashboard
“I need to clean up my October fee observation data — it has about 60 rows with some gaps — rebase fee_units to base-100 starting at the first row and impute any missing values with zero so I can drop it into my dashboard.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected transaction fee or count time series data and need both index normalization (Base-100 rebasing) and missing value imputation in a single low-cost call. Ideal for offline/batch analytical preparation of financial fee datasets before visualization or further modeling, where no live data lookup, prediction, or external action is needed.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, instrument_group) cause validation errors
- base_index out of range for the number of supplied rows
- All values in the target field are null — mean/median imputation may be undefined
- Malformed date strings not matching YYYY-MM-DD pattern fail validation
- Fee or count values outside ±1,000,000,000,000 are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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