# Trading Journal Observations — Weighted Mean & Date-by-Category Pivot

> Trading Journal Observations — Weighted Mean & Date-by-Category Pivot 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).

Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 trading journal rows containing entry and exit prices.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-185?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trading-journal-observations-weighted-mean-date-by-category-pivot-feffdd95
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hItasjmT21Yt4uhpXcvqu

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability trading-journal-observations-weighted-mean-date-by-category-pivot-feffdd95 -d '<json body>'
```

Example prompt: Can you run a weighted mean and date-by-category pivot on my trading journal data? I have 4 rows: row-1 on 2026-10-01 with entry_price 10 and exit_price 1 for group-a, row-2 on 2026-10-02 with entry_price 20 and exit_price 2 for group-b, row-3 on 2026-10-03 with entry_price 15 and exit_price 3 for group-a, row-4 on 2026-10-04 with entry_price 30 and exit_price 4 for group-b — use entry_price as the field.

## When to prefer this

Choose this endpoint when you need both a weighted mean and a date-by-category pivot on trading journal data (entry/exit prices) in a single $0.01 call covering up to 200 rows. It is purpose-built for trading observation data with instrument_group categorization and date-indexed pivoting, making it ideal for post-session trade analysis or monthly reporting pipelines where no live market data or predictions are needed.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, instrument_group, date, entry_price, or exit_price) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'entry_price' or 'exit_price' — enum validation error
- All numeric values are null — weighted mean may be undefined or return an error
- Payment of 0.01 USDC not fulfilled — 402 Payment Required response

## How this service works

Trading journal observations — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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 analytical reports: (1) a secondary-measure weighted mean for the selected field (entry_price or exit_price) across the supplied rows, and (2) a date-by-category pivot table breaking down values by date and instrument_group. Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "entry_price",
     "exit_price"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "exit_price": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "entry_price": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "exit_price": 1,
     "entry_price": 10,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "exit_price": 2,
     "entry_price": 20,
     "instrument_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "exit_price": 3,
     "entry_price": 15,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "exit_price": 4,
     "entry_price": 30,
     "instrument_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "entry_price",
    "exit_price"
   ],
   "type": "string",
   "default": "entry_price"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trading-journal-observations-weighted-mean-date-by-category-pivot-feffdd95/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)