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Trading Journal Observations — Exact Row Deduplication + Base-100 Series
x402
Trading Journal Observations — Exact Row Deduplication + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Deduplicates trading journal rows and computes a Base-100 price series for entry_price or exit_price across supplied trade records
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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
Returns two reports: (1) a deduplicated version of the supplied trading journal rows with exact duplicate rows removed, and (2) a Base-100 normalized series for the chosen price field (entry_price or exit_price), rebased to 100 at the specified base_index row, grouped by instrument_group. No external data is fetched; all analysis is performed locally on the submitted data.
Example use cases
Normalize equity trade prices to Base-100
“I have 50 daily equity trade records with entry and exit prices for two instrument groups — can you deduplicate them and give me a Base-100 series on entry_price starting from row 0?”
Clean duplicate rows from multi-instrument journal
“My trading journal for 'forex' and 'commodities' has some repeated rows — can you run deduplication and build a base-indexed exit_price series from row 5 across all the records?”
Compare normalized price series across trade groups
“Here are 120 trade log rows across groups 'tech-stocks' and 'etf-basket' — remove any duplicates and compute a Base-100 entry_price index starting from row index 0 so I can compare how each group performed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 trading journal rows with entry and exit prices and need two simultaneous analytical outputs — exact duplicate row removal and a Base-100 normalized price series — without any external data lookups or predictions. It is ideal for lightweight, offline-style trade data cleaning and normalization at very low cost ($0.01 USDC for both reports). Prefer alternatives if you need live market data, predictive analytics, or more than 200 rows processed in a single call.
Side effects
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) returns a validation error
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes a schema validation failure
- base_index out of range (>= number of rows) may produce an error or undefined behavior
- Null entry_price or exit_price values may affect Base-100 series computation at that row
- Malformed JSON body returns a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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