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Trading Journal Observations — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Trading Journal Observations — Record Quality Audit + String Normalisation + 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 2026-10-28).
Audits record quality, normalises strings, and computes adjacent row changes for up to 200 trading journal rows (entry_price or exit_price), returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied trading journal observations records (entry_price, exit_price). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports delivered for the submitted trading journal rows: (1) a record quality audit identifying data issues in the selected price field, (2) a string normalisation report for instrument group values, and (3) an adjacent row changes report showing consecutive value differences in the chosen field (entry_price or exit_price). All analysis is performed locally with no external lookups.
Example use cases
Daily trade log quality check
“I have 50 rows from today's trading journal — can you audit the record quality, normalise the instrument group strings, and show me adjacent row changes for the exit_price field? Rows span dates 2026-10-01 to 2026-10-50, with instrument groups like 'FX-majors' and 'eq-us'.”
Spotting consecutive price jumps
“Run an adjacent row changes report on my entry_price data for these 20 trade records — I want to see where prices jumped significantly between consecutive rows, plus a record quality audit and string normalisation on the instrument group names.”
Pre-reconciliation data clean-up
“Before I reconcile my trading journal, can you check for record quality issues, normalise any inconsistent instrument group strings, and compute adjacent row changes for exit_price across my 150 journal rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-efficient batch of three data-quality reports (record audit, string normalisation, adjacent row changes) on trading journal price data in a single call. It is ideal for finance workflows where you want offline/local analysis of up to 200 rows without any live market data, external lookups, or professional financial advice. Prefer it over single-report endpoints when all three analyses are needed simultaneously to save cost and round-trips.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field enum value (not 'entry_price' or 'exit_price') — rejected
- Price values outside ±1,000,000,000,000 range — schema error
- Payment not provided or insufficient USDC — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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