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Trading Journal Observations — String Normalisation + Numeric Distribution
x402
Trading Journal Observations — String Normalisation + 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).
Runs string normalisation and numeric distribution analysis on up to 200 trading journal rows (entry_price or exit_price), returning two local analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 local analytical reports per call: (1) a string normalisation report covering the text fields in the submitted trading journal rows, and (2) a numeric distribution report for the selected price field (entry_price or exit_price), covering statistical spread across up to 200 rows. No external data is fetched or predicted.
Example use cases
Entry price spread review
“I have 50 trades logged this quarter with entry and exit prices by instrument group. Can you run a numeric distribution and string normalisation report on the entry_price field for all of them so I can see how my entry points are distributed?”
Exit price data quality check
“Run a string normalisation plus numeric distribution analysis on my trading journal for the exit_price column — I've got about 120 rows covering different instrument groups and dates, and I want two analytical reports back.”
Instrument group consistency audit
“I want to audit my trading journal for string consistency and see the numeric spread of entry prices. Can you process these 30 rows — with fields like row_id, date, instrument_group, entry_price, and exit_price — and give me both the normalisation and distribution reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of trading journal data — specifically string normalisation and numeric distribution for entry or exit price fields — across up to 200 rows, without requiring live market data, prediction, or external lookups. Ideal for data quality checks, journal audits, and batch statistical summaries at very low cost ($0.01 USDC for two reports).
Side effects
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) causes validation error
- Submitting more than 200 rows triggers maxItems constraint rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems:1 violation) returns error
- Invalid field selector (not 'entry_price' or 'exit_price') causes enum rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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