# Trade Observations IQR Outlier Flags + Date by Category Pivot

> Trade Observations IQR Outlier Flags + 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).

Analyzes trade observation records (export_amount, import_amount) to produce IQR-based outlier flags and a date-by-category pivot table in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-06-178?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/trade-observations-iqr-outlier-flags-date-by-category-pivot-1abea588
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fA6wSh44YwiIezAMg1O8Z

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 trade-observations-iqr-outlier-flags-date-by-category-pivot-1abea588 -d '<json body>'
```

Example prompt: Can you flag any IQR outliers and generate a date-by-region pivot for these trade records I have — up to 200 rows with export_amount and import_amount fields — focusing on export_amount?

## When to prefer this

Choose this endpoint when you need both IQR-based statistical outlier detection and a date-by-category pivot on trade (export/import) data in a single low-cost call. Ideal for economists, analysts, or data pipelines that need fast local statistical QA on up to 200 trade observation rows without sending data to external prediction or lookup services. Particularly suitable when you want two analytical views (outlier flags + pivot) for the price of one call.

## Known failure modes

- Fewer than 1 row or more than 200 rows causes rejection
- Missing required fields (row_id, region, date, export_amount, import_amount) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Invalid field enum value (not export_amount or import_amount) causes error
- Payment of 0.01 USDC not provided causes 402 response

## How this service works

Trade observations — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied trade observations records (export_amount, import_amount). 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 for the supplied trade observation rows: (1) IQR outlier flags indicating which rows have statistically anomalous values for the selected field (export_amount or import_amount), and (2) a date-by-category (region) pivot table summarizing the data. Both reports are computed locally against the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "region",
     "date",
     "export_amount",
     "import_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "region": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "export_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "import_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "region": "group-a",
     "row_id": "row-1",
     "export_amount": 10,
     "import_amount": 1
    },
    {
     "date": "2026-10-02",
     "region": "group-b",
     "row_id": "row-2",
     "export_amount": 20,
     "import_amount": 2
    },
    {
     "date": "2026-10-03",
     "region": "group-a",
     "row_id": "row-3",
     "export_amount": 15,
     "import_amount": 3
    },
    {
     "date": "2026-10-04",
     "region": "group-b",
     "row_id": "row-4",
     "export_amount": 30,
     "import_amount": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "export_amount",
    "import_amount"
   ],
   "type": "string",
   "default": "export_amount"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trade-observations-iqr-outlier-flags-date-by-category-pivot-1abea588/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)