Transaction Fee Observations — Numeric Interval Filter + 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 2026-10-28).
Filters transaction fee observation rows to a numeric interval and fills missing values in fee_units or transaction_count using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.
Transaction fee observations — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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 up to 2 analytical reports covering the supplied transaction fee observation rows after applying the numeric interval filter (rows outside the min–max range are excluded or flagged) and explicit missing-value fill (nulls in the selected field replaced by zero, mean, or median). Reports are computed locally with no external lookups or live data.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-135?utm_source=zero.xyzChoose this endpoint when you have up to 200 transaction fee observation records (with fee_units and transaction_count fields) that need both a numeric range filter and missing-value imputation in a single step. It is ideal for lightweight data cleaning before analytics or reporting without requiring an external data science environment. Prefer this over general-purpose ETL tools when working within an agentic payment workflow and needing a low-cost, deterministic, offline computation on small financial datasets.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
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