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Trading Journal Observations — Date×Category Pivot + Keyed Dataset Comparison
x402
Trading Journal Observations — Date×Category Pivot + 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 2026-10-26).
Analyzes up to 200 trading journal rows by producing a date-by-instrument-group pivot table and a keyed comparison between two supplied datasets for entry_price or exit_price fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Date by category pivot + Keyed dataset comparison: Date by category pivot + 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 date-by-instrument-group pivot table showing aggregated entry_price or exit_price values for each date/category combination, and (2) a keyed comparison report highlighting differences between the primary and secondary datasets matched by row_id, both computed locally without external data lookups.
Example use cases
Weekly trade performance pivot by instrument
“I have this week's trading journal with rows for equities and forex trades — each has a row_id, date, instrument_group, entry_price, and exit_price. Can you pivot the exit_price data by date and instrument group so I can see how each category performed day by day?”
Month-over-month trade comparison
“Compare my October trading journal against my September trading journal by matching on row_id — use entry_price as the field — so I can see which trades changed between the two months.”
Detecting data discrepancies between two trade exports
“I exported my trading data from two different systems and want to know where they differ. Here are both datasets with row_id, date, instrument_group, entry_price, and exit_price — please run the keyed dataset comparison on exit_price and also give me the date-by-category pivot for the primary set.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a date-by-category pivot table and a keyed dataset comparison in a single call for trading journal data with entry and exit prices. It is ideal for comparing two snapshots of trade records (e.g., from different systems or time periods) while also summarizing price data across instrument groups and dates — all without sending data to external services or requiring live market feeds.
Side effects
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) cause validation errors
- Exceeding 200 rows per dataset triggers a row limit rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in entry_price or exit_price may affect pivot aggregation results
- Mismatched row_ids between primary and comparison datasets result in unmatched rows in the comparison report
- Payment of 0.01 USDC required; missing or failed payment returns 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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