Trading Journal Observations — Daily Sum Series + 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).
Computes a daily sum time series and fills missing values (zero, mean, or median) for trading journal entry/exit price records, returning two analytical reports for up to 200 rows.
Trading journal observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied trading journal observations records (entry_price, exit_price). 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: a daily sum time series aggregating the selected price field (entry_price or exit_price) across rows by date, and an explicit missing-value filled version of that series using the chosen fill method (zero, mean, or median). Covers up to 200 input rows organized by instrument group and date.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-145?utm_source=zero.xyzChoose this endpoint when you have structured trading journal records with entry and exit prices, need a daily sum time series, and want explicit missing-value imputation (zero, mean, or median) — all in a single $0.01 call returning two bundled reports. Best suited for offline batch analysis of up to 200 rows; not for live market data, predictions, or real-time monitoring.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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