# Trading Journal Observations — Numeric Distribution + Daily Sum Series

> Trading Journal Observations — Numeric Distribution + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Computes a numeric distribution report and a daily sum time series for entry_price or exit_price fields across up to 200 trading journal observation rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-075?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-numeric-distribution-daily-sum-series-9edafb10
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EP0c44agKSYyVJ6nae1Om

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-numeric-distribution-daily-sum-series-9edafb10 -d '<json body>'
```

Example prompt: Analyze the distribution and daily sum series for the entry_price field across these 4 trading journal rows: row-1 on 2026-10-01 in group-a with entry 10 and exit 1, row-2 on 2026-10-02 in group-b with entry 20 and exit 2, row-3 on 2026-10-03 in group-a with entry 15 and exit 3, and row-4 on 2026-10-04 in group-b with entry 30 and exit 4.

## When to prefer this

Choose this endpoint when you have a batch of trading journal records (up to 200 rows) and need both a distribution analysis and a daily aggregation time series for a price field in a single low-cost call. It is ideal for offline/local analytical computation on supplied data without needing live market data, external lookups, or predictions. It bundles two reports for $0.01 USDC, making it cost-effective for quick statistical summaries of trade logs.

## Known failure modes

- Fewer than 1 row supplied — minItems violation rejected at input validation
- More than 200 rows supplied — maxItems limit exceeded
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) cause row rejection
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Price values outside ±1,000,000,000,000 range rejected
- Invalid field enum value (not entry_price or exit_price) causes request failure
- Payment of 0.01 USDC not completed — x402 payment required before response is returned

## How this service works

Trading journal observations — Numeric distribution + Daily sum series: Numeric distribution + Daily sum 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

Two independent analytical reports generated locally from the supplied rows: (1) a numeric distribution breakdown of the chosen price field (entry_price or exit_price) showing spread, frequency bands, and statistical shape; (2) a daily sum series aggregating the chosen field by date, showing total values per day across the dataset.

## 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-numeric-distribution-daily-sum-series-9edafb10/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)