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Trading Journal Observations — Record Quality Audit + String Normalisation + Category Frequencies
x402
Trading Journal Observations — Record Quality Audit + String Normalisation + Category Frequencies 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).
Audits record quality, normalises strings, and computes category frequencies across up to 200 trading journal rows (entry_price, exit_price) in three independent local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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
Three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values in each row; (2) normalised string representations of text fields like instrument_group; (3) frequency counts showing how often each instrument group category appears across the supplied rows.
Example use cases
Pre-analysis trade data cleanup
“I have a batch of 150 trading journal entries with instrument groups like 'FX', 'fx', and 'Forex' mixed together — can you run a string normalisation plus record quality audit on them and tell me if there are any data issues with the entry and exit prices?”
Instrument group distribution review
“I want to know how my trades are spread across instrument groups in this journal extract — run the category frequency report on these 80 rows and flag any quality problems you find along the way.”
Monthly journal integrity check
“Before I hand off this month's trading journal to my analyst, can you do a full quality audit, normalise the instrument group strings, and count up how many trades fall into each category? I've got about 200 rows with entry and exit prices.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled local analytical reports — quality audit, string normalisation, and category frequencies — on trading journal data with entry and exit prices, all in a single low-cost call ($0.01 USDC). It is ideal for pre-processing or sanity-checking trade records before further analysis, without any live market lookups or external data enrichment.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) cause row-level failures
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) cause validation errors
- Empty rows array returns an error
- Payment failure results in a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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