# Trading Journal Observations — String Normalisation + Trailing Mean Series

> Trading Journal Observations — String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Runs two local analytical reports on trading journal rows: string normalisation of instrument/date fields and a trailing moving-average series over entry_price or exit_price.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trading-journal-observations-string-normalisation-trailing-mean-series-9246fefc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_p4vKaMn4Y5ktmFe34FgYW

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-trailing-mean-series-9246fefc -d '<json body>'
```

Example prompt: Can you run string normalization and a trailing mean series with a window of 3 on my trading journal rows — using entry_price as the field? Here are the rows: row-1 on 2026-10-01, instrument group-a, entry 10, exit 1; row-2 on 2026-10-02, group-b, entry 20, exit 2; row-3 on 2026-10-03, group-a, entry 15, exit 3.

## When to prefer this

Choose this endpoint when you have up to 200 trading journal rows and need both string normalisation of text fields and a rolling/trailing mean series on price data in a single low-cost ($0.01 USDC) call. It is ideal for batch offline analysis of trade logs where no live market data, predictions, or external lookups are needed. Prefer it over general-purpose analytics when you specifically need both a normalization pass and a moving-average series together on entry_price or exit_price fields.

## Known failure modes

- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) returns a validation error
- Submitting more than 200 rows exceeds the row limit and will be rejected
- Window size larger than the number of submitted rows may produce incomplete or empty trailing mean output
- Invalid date format (non-YYYY-MM-DD) triggers a pattern validation failure
- Null values in the selected price field may produce gaps or nulls in the trailing mean series

## How this service works

Trading journal observations — String normalisation + Trailing mean series: String normalisation + Trailing mean 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 analytical reports: (1) a string normalisation report covering instrument_group and date fields across the submitted rows, and (2) a trailing mean series computed over the chosen price field (entry_price or exit_price) using the specified rolling window size. Both reports are generated locally with no external data 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trading-journal-observations-string-normalisation-trailing-mean-series-9246fefc/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)