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Trading Journal Observations — String Normalisation + Exact Row Deduplication
x402
Trading Journal Observations — String Normalisation + Exact Row Deduplication 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).
Normalises strings and deduplicates exact rows in trading journal observation records (entry_price, exit_price) for up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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
Two analytical reports: one covering string normalisation results for text fields (e.g. instrument_group) and one covering exact row deduplication findings across all supplied trading journal rows. No live data, predictions, or external lookups are included — all analysis is performed locally on the supplied data.
Example use cases
Deduplicating daily trade log exports
“I export my trading journal every day and sometimes entries get duplicated — can you run string normalisation and exact deduplication on these 50 trade rows so I get a clean dataset? Each row has a row_id, date, instrument group, entry price, and exit price.”
Cleaning instrument group labels before reporting
“My trading journal has inconsistent capitalisation and spacing in the instrument_group field across about 120 rows — can you normalise those strings and also flag any completely duplicate rows so I can fix the source data before I run my monthly report?”
Pre-analysis data quality check on trade observations
“Before I feed these 200 trade observations into my P&L model, I want to make sure there are no exact duplicate rows and that all the string fields like instrument_group are normalised — can you run both checks and give me the two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to clean trading journal data offline — specifically to normalise string fields and remove exact duplicate rows — without any live market lookup, prediction, or external service dependency. It is well suited as a lightweight pre-processing step before downstream financial analysis, at a fixed low cost of $0.01 USDC for up to 200 rows and 2 reports.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, entry_price, exit_price, instrument_group) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- entry_price or exit_price outside allowed numeric range — validation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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