# Trading Journal Observations — Daily Sum Series + IQR Outlier Flags

> Trading Journal Observations — Daily Sum Series + IQR Outlier Flags 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).

Computes a daily sum time series and IQR-based outlier flags for entry_price or exit_price fields across up to 200 trading journal rows, delivering two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-140?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-daily-sum-series-iqr-outlier-flags-1880ac98
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JZMmq3MnFsUMvHFaRwjZb

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-daily-sum-series-iqr-outlier-flags-1880ac98 -d '<json body>'
```

Example prompt: I have 150 trading journal records with dates, entry prices, exit prices, and instrument groups — can you compute the daily sum series and flag any IQR outliers for the entry_price field across all those rows?

## When to prefer this

Choose this endpoint when you have up to 200 trading journal records and need both a daily aggregated sum time series and IQR outlier detection on price fields in a single call. It is ideal for offline, local analytical computation on supplied data without any live market data, predictions, or external lookups. Prefer this over generic statistics APIs when your data fits the trading journal schema (entry_price, exit_price, instrument_group, date) and you need two complementary reports for the cost of one call.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, date, instrument_group, entry_price, exit_price) — validation error
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector value not in enum ['entry_price','exit_price'] — rejected
- All price values null — computation returns empty or degenerate series
- Payment not included or insufficient — x402 payment required error

## How this service works

Trading journal observations — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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 analytical reports: (1) a daily sum time series aggregating the selected price field (entry_price or exit_price) by date across all supplied rows, and (2) IQR-based outlier flags identifying which rows or daily values fall outside the interquartile range bounds. No external data or predictions are included.

## 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-daily-sum-series-iqr-outlier-flags-1880ac98/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)