# Trading Journal Observations — Record Quality Audit + Numeric Distribution

> Trading Journal Observations — Record Quality Audit + Numeric Distribution 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).

Audits data quality and computes numeric distribution statistics for trading journal entry_price and exit_price fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-004?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-numeric-distribution-1affb51e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vgTC2Wy-PRjutGgB2YjFH

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-numeric-distribution-1affb51e -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric distribution report on these 50 trading journal rows I have — checking the entry_price field — across instruments like AAPL and BTC? I need to know if any records are missing or malformed and how the prices are distributed.

## When to prefer this

Choose this endpoint when you need to quickly validate the integrity of trading journal records and understand the statistical distribution of price fields before further analysis or backtesting. It is ideal when you have up to 200 rows with entry/exit prices grouped by instrument and want two distinct reports (quality audit + distribution) in a single low-cost call. Prefer this over generic data profiling tools when your data is specifically structured as a trading journal with instrument groups and dated trade rows.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — validation error
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) on any row — schema rejection
- Invalid date format not matching YYYY-MM-DD pattern — parse error
- Field selector not one of 'entry_price' or 'exit_price' — enum validation failure
- Price values outside allowed numeric range — schema rejection
- Payment not included or insufficient — 402 payment required

## How this service works

Trading journal observations — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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 independent analytical reports: (1) a record quality audit identifying completeness, validity, and anomaly issues per row for the specified price field; and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the selected field (entry_price or exit_price) across the supplied rows. No external lookups or predictions are made — all analysis is performed locally on the submitted data.

## 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-numeric-distribution-1affb51e/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)