# Trading Journal Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary

> Trading Journal Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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 three local analytical reports on trading journal rows (entry_price, exit_price): a record quality audit, string normalisation, and grouped numeric summary — no external data or predictions.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-194?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-record-quality-audit-string-f6741b8a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_n0YZAhOwgP728eyYGYyjK

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-record-quality-audit-string-f6741b8a -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and grouped numeric summary on my trading journal data? I have up to 50 rows with fields like row_id, instrument_group, date, entry_price, and exit_price — I want to analyse the entry_price field specifically.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations on trading journal data (quality audit, string normalisation, grouped numeric summary) in a single low-cost call. Ideal for pre-processing or QA of trade logs before further analysis. Not suitable if you need live market data, price predictions, external lookups, or more than 200 rows per call.

## Known failure modes

- Rows array is empty or exceeds 200-item limit — validation error returned
- date field does not match YYYY-MM-DD pattern — schema validation rejection
- entry_price or exit_price outside allowed range (-1e12 to 1e12) — rejected
- field enum value not 'entry_price' or 'exit_price' — invalid input error
- row_id missing or blank — required field validation failure
- Payment of 0.01 USDC not provided — x402 payment required response

## How this service works

Trading journal observations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied trading journal observations records (entry_price, exit_price). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three structured analytical reports: (1) a record quality audit highlighting nulls, malformed values, and completeness issues per row; (2) a string normalisation report standardising instrument_group and other text fields; and (3) a grouped numeric summary of the selected price field (entry_price or exit_price) aggregated by instrument_group. All analysis is performed locally on 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-record-quality-audit-string-f6741b8a/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)