# Trading Journal Observations — String Normalisation + Date by Category Pivot

> Trading Journal Observations — String Normalisation + 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).

Runs string normalisation and date-by-category pivot analysis on up to 200 trading journal observation rows (entry_price, exit_price), returning two local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-035?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-string-normalisation-date-by-category-6168b1db
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Gp-h3g0WNkXtsEyY3e-Qe

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-string-normalisation-date-by-category-6168b1db -d '<json body>'
```

Example prompt: Can you run string normalisation and a date-by-category pivot on my trading journal rows — I have 4 records with instrument groups 'equities' and 'fx', dates from 2025-01-01 to 2025-01-04, entry_price values like 100, 200, 150, 300, and exit_price values like 95, 210, 145, 310 — run the reports on entry_price?

## When to prefer this

Choose this endpoint when you need both string normalisation and a date-by-category pivot on trading journal price data (entry or exit price) in a single cheap call — especially for batches up to 200 rows. It is ideal for offline/local analytical processing of trade records without needing live market data, predictions, or external lookups.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- entry_price or exit_price values outside allowed numeric range — validation error
- Missing required fields (row_id, instrument_group, date) — schema rejection
- Invalid field enum value (not 'entry_price' or 'exit_price') — request error

## How this service works

Trading journal observations — String normalisation + Date by category pivot: String normalisation + 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 string normalisation report covering the chosen price field (entry_price or exit_price), and (2) a date-by-category pivot table grouping the selected price values by date and instrument_group. All computation is performed locally on the supplied rows — no external data is fetched.

## 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-string-normalisation-date-by-category-6168b1db/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)