# Trading Journal Observations — Adjacent Row Changes + Keyed Dataset Comparison

> Trading Journal Observations — Adjacent Row Changes + Keyed Dataset Comparison 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).

Analyzes trading journal entry/exit price data with two local reports: row-over-row change detection and keyed dataset comparison across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-09-161?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-adjacent-row-changes-keyed-dataset-0d3902cd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rhMfl1ofXRJd8BrqAdPTX

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-adjacent-row-changes-keyed-dataset-0d3902cd -d '<json body>'
```

Example prompt: I have two versions of my trading journal — the current one and last month's — each with up to 50 rows of entry_price and exit_price data grouped by instrument. Can you run adjacent row change detection and keyed dataset comparison on entry_price across both sets?

## When to prefer this

Choose this endpoint when you need two complementary analyses on trading journal data in a single call: sequential row-over-row price change detection AND a keyed cross-dataset comparison. Ideal for reconciling two versions of a trade log or detecting drift across consecutive trades. Not suitable if you need live price data, predictions, or more than 200 rows.

## Known failure modes

- Exceeding 200 rows causes validation error
- Missing required fields (row_id, instrument_group, date, entry_price, exit_price) causes schema rejection
- Invalid date format (not YYYY-MM-DD) causes parse error
- Mismatched row_ids between primary and secondary datasets may result in unmatched comparison rows
- Null values in price fields are accepted but may produce null deltas in change reports
- Payment failure (insufficient USDC balance) blocks execution

## How this service works

Trading journal observations — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison 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 analytical reports: (1) an adjacent row changes report showing sequential differences in the selected price field (entry_price or exit_price) between consecutive rows, and (2) a keyed dataset comparison report showing field-level differences between the primary and secondary datasets matched by row_id. Both reports are computed 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "exit_price": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "entry_price": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "exit_price": 1,
     "entry_price": 10,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "exit_price": 2,
     "entry_price": 20,
     "instrument_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "exit_price": 3,
     "entry_price": 15,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "exit_price": 4,
     "entry_price": 30,
     "instrument_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "entry_price",
    "exit_price"
   ],
   "type": "string",
   "default": "entry_price"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "entry_price",
     "exit_price"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trading-journal-observations-adjacent-row-changes-keyed-dataset-0d3902cd/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)