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Trading Journal Observations — Record Quality Audit + Exact Row Deduplication + Numeric Distribution
x402
Trading Journal Observations — Record Quality Audit + Exact Row Deduplication + Numeric Distribution 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).
Analyzes up to 200 trading journal rows (entry_price, exit_price) producing three reports: a record quality audit, exact row deduplication, and numeric distribution for a chosen price field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution 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 independent analytical reports: (1) a record quality audit flagging missing, null, or malformed fields across the submitted rows; (2) an exact row deduplication report identifying fully identical records; (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected price field (entry_price or exit_price). All computed locally from supplied data — no external lookups.
Example use cases
Pre-analysis trading data cleanup
“I have 150 trade records with row IDs, instrument groups, dates, entry prices, and exit prices — can you run all three reports (quality audit, exact deduplication, and numeric distribution on entry_price) so I can clean them up before backtesting?”
Spotting duplicate entries in a trade log
“Before I import this trading journal into my portfolio tracker, can you check these 80 rows for exact duplicate entries and also give me a quality audit and exit_price distribution?”
Reviewing price distribution by instrument group
“I want to understand how my exit prices are distributed across my last 200 trades — can you run the numeric distribution report on exit_price along with the quality audit and deduplication check on this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, deduplication, and numeric distribution — on a compact trading journal dataset (up to 200 rows) in a single low-cost call. Ideal for pre-processing trade data before import, backtesting, or reporting. Not suitable for live market data lookups, predictive analytics, or datasets exceeding 200 rows.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) cause schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Invalid field enum value (not entry_price or exit_price) causes rejection
- Empty rows array (minItems: 1) returns validation error
- Payment not included or incorrect amount causes x402 payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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