# Trading Journal Observations — Record Quality Audit + String Normalisation + Adjacent Row Changes

> Trading Journal Observations — Record Quality Audit + String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Audits record quality, normalises strings, and computes adjacent row changes for up to 200 trading journal rows (entry_price or exit_price), returning 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-200?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trading-journal-observations-record-quality-audit-string-3c250bfb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L1iKk1g5-48LBnVg0Q8Da

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-3c250bfb -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and adjacent row changes analysis on my trading journal data for the entry_price field? I have these 4 rows: row-1 on 2026-10-01 with entry 10 / exit 1 in group-a, row-2 on 2026-10-02 with entry 20 / exit 2 in group-b, row-3 on 2026-10-03 with entry 15 / exit 3 in group-a, and row-4 on 2026-10-04 with entry 30 / exit 4 in group-b.

## When to prefer this

Choose this endpoint when you need a combined, cost-efficient batch of three data-quality reports (record audit, string normalisation, adjacent row changes) on trading journal price data in a single call. It is ideal for finance workflows where you want offline/local analysis of up to 200 rows without any live market data, external lookups, or professional financial advice. Prefer it over single-report endpoints when all three analyses are needed simultaneously to save cost and round-trips.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field enum value (not 'entry_price' or 'exit_price') — rejected
- Price values outside ±1,000,000,000,000 range — schema error
- Payment not provided or insufficient USDC — 402 Payment Required

## How this service works

Trading journal observations — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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

Three independent analytical reports delivered for the submitted trading journal rows: (1) a record quality audit identifying data issues in the selected price field, (2) a string normalisation report for instrument group values, and (3) an adjacent row changes report showing consecutive value differences in the chosen field (entry_price or exit_price). All analysis is performed locally 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-3c250bfb/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)