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Trading Journal IQR Outlier Flags + Two-Measure Correlation
x402
Trading Journal IQR Outlier Flags + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Analyzes trading journal entry/exit price records to flag IQR-based outliers and compute two-measure correlation, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied trading journal observations records (entry_price, exit_price). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two reports: (1) IQR outlier flags identifying which rows have entry_price or exit_price values outside interquartile range thresholds, and (2) a two-measure correlation analysis between entry_price and exit_price across the supplied rows. All computation is performed locally using analytical engines with no external data lookups.
Example use cases
Flag outlier trades in equity journal
“I have a list of about 80 equity trades with entry and exit prices — can you run IQR outlier flagging on the entry_price field and also compute the two-measure correlation between entry and exit prices? Here are the rows with date, row_id, instrument_group, entry_price, and exit_price.”
Spot anomalous forex entries
“I want to check my forex trading journal for weird outlier trades — use IQR to flag anything abnormal in exit_price and also give me a correlation report between entry and exit prices across these 120 records grouped by instrument_group.”
Audit crypto trading records statistically
“Can you analyze these 200 crypto trading records for statistical outliers using IQR on the entry_price field, and also run a two-measure correlation between entry_price and exit_price? The data includes date, row_id, instrument_group, and both price fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need local, deterministic statistical analysis of trading journal records without any external data fetching, live market lookups, or ML prediction. It is ideal for post-trade analysis workflows where you want IQR-based outlier detection and a correlation check between entry and exit prices in a single low-cost API call covering up to 200 rows. Prefer it over general-purpose analytics tools when you specifically need these two paired reports on structured trade records with instrument_group segmentation.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds max row limit
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema error
- Price values outside allowed numeric range — validation failure
- Insufficient data variance for meaningful correlation — may return degenerate results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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