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Trading Journal Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Trading Journal Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Audits data quality, normalises strings, and orders rows numerically for up to 200 trading journal records containing entry and exit prices, producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields in the trading journal rows; (2) a string normalisation report standardising instrument_group and other string fields; and (3) a numeric row ordering report ranking rows by the selected price field (entry_price or exit_price). All reports are computed locally from the supplied data with no external lookups.
Example use cases
Pre-analysis trade log cleanup
“I have a batch of 50 trading journal rows with instrument groups, dates, entry prices and exit prices — can you audit them for quality issues, normalise the instrument group strings, and order the rows by entry_price so I can review them before doing further analysis?”
Detecting dirty data in exit prices
“My trading journal has some suspect exit_price values mixed in with valid ones. Can you run a record quality audit and numeric row ordering on these 30 rows sorted by exit_price so I can spot anomalies?”
Standardising instrument group labels
“I exported my trading journal from two different systems and the instrument_group names are inconsistently formatted. Can you run string normalisation across all 80 rows so the labels are consistent, and also give me the quality audit and numeric ordering reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data-quality operations — quality audit, string normalisation, and numeric ordering — applied specifically to trading journal records with entry and exit prices. It is cost-effective at $0.01 USDC for all three reports on up to 200 rows, and operates entirely on supplied data without any live market lookups or external dependencies. Prefer it over general-purpose data cleaning tools when working with finance-domain trading journals and needing all three report types in a single call.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- entry_price or exit_price outside allowed range (-1e12 to 1e12) — validation error
- Missing required field (row_id, instrument_group, date, entry_price, exit_price) — schema error
- Invalid field selector value (not 'entry_price' or 'exit_price') — enum error
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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