# Trading Journal Observations — Numeric Interval Filter + Date by Category Pivot

> Trading Journal Observations — Numeric Interval Filter + Date by Category Pivot 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).

Filters trading journal rows by a numeric price range and produces a date-by-instrument-group pivot table, returning two analytical reports for up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-133?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-interval-filter-date-by-category-c2e31f38
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WLqpvmpI1Yh6ZrG3lNZfo

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-interval-filter-date-by-category-c2e31f38 -d '<json body>'
```

Example prompt: Filter my trading journal records where entry_price is between 10 and 500, then pivot the results by date and instrument group — here are my rows: row-1, 2024-01-15, entry 120, exit 135, group Equities; row-2, 2024-01-15, entry 8, exit 90, group Forex; row-3, 2024-01-16, entry 200, exit 210, group Equities. Give me both the interval-filtered report and the date-by-category pivot.

## When to prefer this

Choose this endpoint when you already have trading journal data in hand and need two offline analytical views — a price-range filter and a date-by-category pivot — computed locally without any external data lookups, predictions, or live market feeds. It is ideal for batch post-trade analysis where privacy matters (no data leaves your payload to third-party sources) and cost must be minimal ($0.01 for both reports on up to 200 rows).

## Known failure modes

- Missing required fields (row_id, date, instrument_group, entry_price, exit_price) cause validation errors
- Rows array exceeding 200 items is rejected
- Date strings not matching YYYY-MM-DD pattern fail schema validation
- Minimum greater than maximum produces an empty interval-filtered result set
- Numeric values outside ±1,000,000,000,000 are rejected by schema
- Payment of 0.01 USDC not included or declined results in 402 response

## How this service works

Trading journal observations — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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 subset of the supplied rows whose selected numeric field (entry_price or exit_price) falls within the specified minimum–maximum interval, and (2) a pivot table cross-referencing trade dates against instrument group categories, both derived entirely from the caller-supplied data without any external lookup.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trading-journal-observations-numeric-interval-filter-date-by-category-c2e31f38/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)