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Trading Journal Base-100 Series + Date-by-Category Pivot
x402
Trading Journal Base-100 Series + Date-by-Category Pivot 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 Base-100 indexed price series and a date-by-category pivot table from supplied trading journal records (entry_price, exit_price) — two analytical reports per call, no live data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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
Two analytical reports: (1) a Base-100 indexed series for the chosen price field (entry_price or exit_price), rebased at the specified row index; (2) a pivot table of values organized by date rows and instrument_group columns. Both computed locally from the supplied rows — no external data fetched.
Example use cases
Equity vs futures relative performance
“I have 150 trade records split between 'equities' and 'crypto' groups, with dates and entry/exit prices — can you rebase the exit_price series to 100 starting from row 0 and also pivot the data by date and instrument group so I can see category trends side by side?”
Monthly trading review dashboard
“Here are my journal trades for Q1 2025 across three instrument groups — run a Base-100 series on entry_price starting from index 0 and give me a date-by-category pivot so I can review how each group moved month by month.”
Backtesting price normalization check
“I'm backtesting a strategy and have up to 200 trade rows with entry and exit prices across two asset groups. Can you normalize the entry_price to a Base-100 series from the first row and pivot those trades by date and category so I can compare the two groups visually?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have your own trading journal data (up to 200 rows) and need both a Base-100 normalized price series and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for agents building offline analytics dashboards or backtesting summaries without needing live market data, external APIs, or professional financial assessment.
Side effects
- Empty or missing rows array returns an error
- row_id values that are not unique may produce unexpected pivot behavior
- base_index exceeding the number of supplied rows causes an out-of-bounds error
- Null entry_price or exit_price values on the base row may break normalization
- More than 200 rows submitted will be rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) will fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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