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Trading Journal Base-100 Series + Missing-Value Fill
x402
Trading Journal Base-100 Series + Missing-Value Fill 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).
Computes a Base-100 index series and fills missing values for up to 200 trading journal rows containing entry_price and exit_price fields
Price / call$0.01
Success—
StatusUnknown
How this service works
Trading journal observations — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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: (1) a Base-100 normalized index series for the specified price field across all supplied rows, rebased at the chosen row index; (2) the same dataset with missing values in the specified field explicitly filled using the chosen method (zero, mean, or median). Covers up to 200 rows per call.
Example use cases
Normalize multi-instrument trade log
“I have 50 trades across three instrument groups with entry and exit prices from January 2025. Can you rebase all of them to a Base-100 index starting from the first row and fill any missing entry_price values using the median?”
Gap-fill exit prices before performance review
“My trading journal has about 30 rows where exit_price is null — can you fill those gaps using median values and also give me the Base-100 series for the exit_price field so I can compare performance across groups?”
Standardize prices for cross-instrument comparison
“I'm comparing entry prices across two instrument groups over 120 trading days. Can you normalize the entry_price column to a Base-100 series starting at index 5 and fill any missing values with zero before the comparison?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical computation on your own trading journal data — specifically Base-100 index normalization and explicit missing-value imputation for entry or exit prices. It is ideal when you have up to 200 rows of tabular trade records and want two bundled reports cheaply ($0.01 USDC). Prefer this over general-purpose data tools when you want finance-specific framing with grouped instrument context and structured JSON output ready for further agent processing.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds maximum limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) — rejected input
- Both entry_price and exit_price null for all rows — degenerate output
- Unknown field value outside enum — rejected
- Payment not supplied — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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