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Trading Journal Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Trading Journal Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean 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).
Runs three local analytical reports on trading journal rows (entry_price, exit_price): a record quality audit, string normalisation, and a secondary-measure weighted mean — no live data or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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 missing, null, or out-of-range values per row; (2) normalised string output for categorical fields like instrument_group; (3) a secondary-measure weighted mean computed over the selected field (entry_price or exit_price). All computed locally with no external lookups or predictions.
Example use cases
Spot dirty records before strategy review
“I'm about to review my trading strategy and want to catch any bad data first — can you run a record quality audit on these 50 trade rows from my journal, checking entry_price and exit_price for issues, and also normalise the instrument group names?”
Weighted average exit price by group
“I need the weighted mean of exit_price across my trading journal entries — here are 120 rows with row IDs, instrument groups, dates, and both entry and exit prices. Please also flag any quality problems you find.”
Pre-reporting data clean for fund trades
“Before I generate my monthly trading report I need to normalise the instrument_group strings and audit these 200 trade records for data quality issues — can you run all three reports on my journal rows with entry and exit prices?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-efficient set of three data quality and summarisation operations on trading journal data (up to 200 rows) in a single call for $0.01 USDC — specifically when you want record quality auditing, string normalisation, and a weighted mean together without making separate API calls or requiring live market data.
Side effects
- Empty rows array or fewer than 1 row returns validation error
- More than 200 rows exceeds the limit and will be rejected
- Null entry_price and exit_price simultaneously may degrade weighted mean computation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- row_id missing or empty string causes required field error
- field enum value not 'entry_price' or 'exit_price' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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