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Trading Journal Entry/Exit Price Histogram & String Normalisation
x402
Trading Journal Entry/Exit Price Histogram & String Normalisation 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 string normalisation and an equal-width histogram analysis on trading journal entry_price or exit_price data for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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 per call: (1) a string normalisation report covering the instrument_group and date fields, and (2) an equal-width histogram report showing bin edges, counts, and distribution statistics for the selected numeric field (entry_price or exit_price) across up to 200 supplied rows. All computation is local with no external lookups.
Example use cases
Entry price distribution for review
“I want to see how my trade entry prices are distributed across my journal — I have about 50 trades across two instrument groups. Can you normalise the instrument strings and produce a 10-bin equal-width histogram on entry_price for me?”
Exit price bucketing for strategy audit
“For my weekly strategy audit, can you bin my exit prices into 5 equal-width buckets and normalise the instrument group labels? I'll paste the rows — roughly 30 trades dated this month across groups EQUITY and FX.”
Multi-group price spread analysis
“I have 120 trading journal records across four instrument groups and I want to understand how exit prices spread out. Please run string normalisation on the group names and give me a 15-bin histogram on exit_price.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, deterministic statistical analysis of trading journal price data — specifically equal-width histogramming and string normalisation — without any live market data, predictions, or external calls. It is ideal for post-trade review workflows where you supply your own records and need two bundled analytical reports cheaply ($0.01 USDC). Prefer it over general-purpose analytics APIs when your data is already structured as trading journal rows with entry/exit prices.
Side effects
- More than 200 rows submitted — request rejected, maxItems constraint violated
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Bin count outside 1–30 range — schema validation error
- Numeric price values outside ±1,000,000,000,000 — validation error
- Empty rows array — minItems constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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