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Trading Journal Observations — Duplicate Key Report + Trailing Mean Series
x402
Trading Journal Observations — Duplicate Key Report + Trailing Mean Series 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 up to 200 trading journal rows to produce a duplicate key report and a trailing mean series for entry_price or exit_price fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series 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 independent analytical reports: (1) a duplicate key report identifying any rows that share the same key fields, and (2) a trailing mean series showing the rolling average of the selected price field (entry_price or exit_price) over the specified window size, computed across up to 200 supplied trading journal rows.
Example use cases
Detect duplicate trade entries
“I have 150 rows from my trading journal and I want to know if any of them share duplicate keys — can you run a duplicate key report on them using entry_price and exit_price for each instrument group?”
Rolling average for exit prices
“Take my trading journal records for October and compute a trailing mean series with a window of 3 for exit_price — I want to see how the rolling average changes over time across my trades.”
Pre-analysis data quality check
“Before I do further analysis, run a duplicate key report and trailing mean with window size 4 on entry_price for my 80-row trading journal dataset so I can spot any data issues and see price trends.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and trailing mean computation on trading journal data (entry_price or exit_price) in a single call for up to 200 rows. It is ideal for lightweight, offline data quality audits and rolling average analytics on trade records without needing live market data, predictions, or external lookups.
Side effects
- Fewer than 1 row provided — validation error
- More than 200 rows submitted — rejected with max items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size outside 2–200 range — validation error
- Null values in entry_price or exit_price may affect trailing mean computation
- Missing required fields (row_id, instrument_group, date) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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