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Trading Journal Observations — Record Quality Audit + Keyed Dataset Comparison
x402
Trading Journal Observations — Record Quality Audit + 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).
Audits trading journal records (entry_price, exit_price) for data quality issues and compares two keyed datasets side-by-side, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + Keyed dataset comparison: Record quality audit + 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 independent analytical reports: (1) a record quality audit identifying data issues such as missing values, out-of-range prices, malformed dates, or duplicate row IDs in the supplied trading journal rows; and (2) a keyed dataset comparison report showing field-level differences between the two supplied datasets matched by row_id, covering entry_price and exit_price fields.
Example use cases
Pre-analysis trade data validation
“Before I run my P&L analysis, can you audit this batch of 80 trading journal records for data quality problems? I want to know about any missing entry_price or exit_price values, bad dates, or other issues across my instrument groups like 'equities' and 'forex'.”
Version diff of updated trade log
“I have two versions of my trade log — the original and an updated one — each with the same row IDs. Can you compare them side-by-side and show me which rows have changed entry_price or exit_price values?”
Cross-broker reconciliation check
“I exported trade records from two different brokers for the same period, both with matching row IDs. Can you do a quality audit on each and compare them to find any discrepancies in entry or exit prices across my 'futures' and 'options' instrument groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a row-keyed comparison of two trading journal datasets in a single call at low cost ($0.01 USDC). It is ideal for validating trade records before downstream analysis or reconciling two versions of a trade log. It does not perform live market lookups, price prediction, or professional financial assessment — use it purely for offline data integrity and comparison tasks on entry_price/exit_price records.
Side effects
- Rows array empty or missing — validation error returned
- Row count exceeds 200 — request rejected
- Required fields (row_id, instrument_group, date, entry_price, exit_price) missing from any row — schema validation error
- Date field does not match YYYY-MM-DD pattern — rejected
- Payment not included or insufficient — 402 Payment Required
- Mismatched or non-overlapping row_ids between the two datasets — comparison report may show all rows as unmatched
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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