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Trading Journal Observations — Record Quality Audit + Adjacent Row Changes
x402
Trading Journal Observations — Record Quality Audit + Adjacent Row Changes 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).
Audits trading journal rows for data quality issues and computes adjacent-row price changes for entry_price or exit_price fields across up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 structured analytical reports: (1) a record quality audit identifying missing, null, or out-of-range values in the trading journal rows, and (2) an adjacent row changes report showing the price difference between consecutive rows for the selected field (entry_price or exit_price), grouped by instrument and date order.
Example use cases
Trade log data integrity check
“I have 120 rows from my trading journal with dates, entry prices, exit prices, and instrument groups — can you audit them for record quality issues and flag any problems in the entry_price field?”
Sequential exit price change review
“Can you analyze my 80 trade records and show me how exit_price changes between consecutive rows for each instrument group, so I can spot any unusual jumps?”
Pre-analysis cleanup of trading data
“Before I run my strategy backtest, can you check these 150 trading journal rows for data quality issues and compute the adjacent row differences on entry_price so I know which records to fix first?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a sequential row-change analysis on trading journal data in a single call. It is purpose-built for entry_price and exit_price fields on financial instrument records, making it more focused than generic data-profiling endpoints. Ideal for pre-processing raw trade logs before strategy analysis or reporting.
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) — schema rejection
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- All prices are null — quality audit may return degenerate results with no meaningful adjacent changes
- Duplicate row_ids may cause ambiguous ordering in adjacent row analysis
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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