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Trading Journal Observations — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Trading Journal Observations — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering 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).
Runs three local analytical reports on trading journal rows (entry_price, exit_price): a record quality audit, exact row deduplication, and numeric row ordering — all offline, no external calls.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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 generated from the supplied rows: (1) a record quality audit flagging missing, null, or out-of-range values in entry_price/exit_price; (2) an exact row deduplication report identifying identical records; and (3) a numeric row ordering report sorting records by the chosen field (entry_price or exit_price). All processing is local with no external lookups or predictions.
Example use cases
Pre-review trading log cleanup
“I have a CSV of 80 trade records with row_id, instrument_group, date, entry_price, and exit_price — can you run a quality audit, find any exact duplicate rows, and order them by exit_price so I can review them before my end-of-month reconciliation?”
Duplicate trade detection for prop desk
“My prop trading journal has some suspected duplicate entries across different instrument groups. Can you run exact deduplication plus a record quality check on these 120 rows, using entry_price as the field, and tell me which rows are duplicates and which have quality issues?”
Numeric ordering for trade performance review
“I need my 45 trading journal records sorted numerically by entry_price with a quality audit alongside it — please run all three reports (quality audit, deduplication, numeric ordering) on the rows I'm providing so I can spot any bad data before my performance review.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline data quality operations on trading journal records — specifically the combination of quality auditing, deduplication, and numeric ordering in a single call. Prefer it over general-purpose data tools when you have up to 200 rows of trade data with entry_price/exit_price fields and want three bundled analytical reports at low cost. Not suitable for live market data lookups, trade execution, price prediction, or datasets exceeding 200 rows.
Side effects
- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- entry_price or exit_price out of allowed numeric range — rejection
- Missing required fields (row_id, instrument_group, date) — schema error
- field enum value not 'entry_price' or 'exit_price' — validation failure
- Payment not included or insufficient USDC — 402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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