Transaction Fee Observations — Adjacent Row Changes + Explicit 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).
Analyzes up to 200 transaction fee observation rows by computing adjacent row changes and filling missing values using zero, mean, or median imputation for fee_units or transaction_count fields.
Transaction fee observations — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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.
Returns two analytical reports: (1) an adjacent row change report showing the difference between consecutive fee_units or transaction_count values, and (2) an explicit missing-value fill report showing imputed replacements for null entries using the chosen method (zero, mean, or median). Up to 200 rows processed per call.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-162?utm_source=zero.xyzChoose this endpoint when you have a batch of up to 200 transaction fee observation rows and need both missing-value imputation (zero, mean, or median) and adjacent row change analysis in a single call without requiring any live data lookup or external connections. Ideal for local, offline-style analytical processing of finance/fee time series data where you control the input dataset.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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