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Trading Journal Observations — Weighted Mean & Keyed Dataset Comparison
x402
Trading Journal Observations — Weighted Mean & Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison across two sets of trading journal records (entry_price, exit_price) for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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.
Output
Returns two analytical reports: (1) a secondary-measure weighted mean calculated over the specified price field (entry_price or exit_price) across the supplied rows, and (2) a keyed dataset comparison between the primary and secondary row sets, highlighting differences by row_id and instrument_group. No external data is fetched; all computation is performed locally on the supplied data.
Example use cases
Monthly trade performance weighted mean
“I have 80 trade records from last month, each with a row_id, instrument_group, date, entry_price, and exit_price. Can you compute the secondary-measure weighted mean for entry_price across all of them?”
Before-and-after strategy dataset comparison
“I ran two versions of my trading strategy and have two datasets of up to 60 rows each — same row IDs but different exit prices. Can you do a keyed comparison between them and also give me the weighted mean on exit_price?”
Multi-group instrument price analysis
“Here are 120 trading journal rows split across instrument groups like 'equities' and 'futures', each with entry and exit prices. Run the weighted mean on entry_price and compare this dataset against my baseline dataset with the same row keys.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean computation and a keyed dataset comparison on trading journal data (entry_price/exit_price) in a single call for up to 200 rows per dataset. It is ideal for offline/batch analysis of historical trade records without requiring live market data, external lookups, or prediction. At $0.01 USDC for two reports, it is cost-effective for routine journaling and strategy comparison workflows.
Side effects
- Rows array is empty or exceeds 200 items — validation error returned
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) on any row — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected
- Numeric price values outside allowed range (-1e12 to 1e12) — rejected
- field enum value not one of 'entry_price' or 'exit_price' — invalid input error
- row_id values not unique across primary or secondary dataset — may produce unexpected keyed comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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