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Trading Journal Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Trading Journal Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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).
Runs three local analytical reports on trading journal rows (entry_price, exit_price): a record quality audit, string normalisation, and grouped numeric summary — no external data or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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
Returns three structured analytical reports: (1) a record quality audit highlighting nulls, malformed values, and completeness issues per row; (2) a string normalisation report standardising instrument_group and other text fields; and (3) a grouped numeric summary of the selected price field (entry_price or exit_price) aggregated by instrument_group. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Audit trade log data quality
“I have a trading journal CSV with about 80 rows including row_id, date, instrument_group, entry_price, and exit_price — can you run a full record quality audit on it to flag any missing values, nulls, or malformed records in the entry_price field?”
Normalise instrument group labels
“My trading journal has inconsistent instrument_group strings like 'FX', 'fx ', 'Fx' across 120 rows — can you run the string normalisation report on those rows so I can see a clean, standardised view?”
Grouped numeric summary by instrument
“I want a grouped numeric summary of exit_price across my 40 trade records broken down by instrument_group — can you run that report on my trading journal data and show me group-level stats?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations on trading journal data (quality audit, string normalisation, grouped numeric summary) in a single low-cost call. Ideal for pre-processing or QA of trade logs before further analysis. Not suitable if you need live market data, price predictions, external lookups, or more than 200 rows per call.
Side effects
- Rows array is empty or exceeds 200-item limit — validation error returned
- date field does not match YYYY-MM-DD pattern — schema validation rejection
- entry_price or exit_price outside allowed range (-1e12 to 1e12) — rejected
- field enum value not 'entry_price' or 'exit_price' — invalid input error
- row_id missing or blank — required field validation failure
- Payment of 0.01 USDC not provided — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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