# Trade Observations — Exact Row Deduplication + Date by Category Pivot

> Trade Observations — Exact Row Deduplication + 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 2026-10-28).

Deduplicates exact duplicate rows and produces a date-by-category pivot table from trade observation records (export_amount, import_amount) — two analytical reports in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-06-052?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trade-observations-exact-row-deduplication-date-by-category-pivot-d80feb30
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zFfZPIH2deKrnXUNH7Y4L

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-exact-row-deduplication-date-by-category-pivot-d80feb30 -d '<json body>'
```

Example prompt: Can you run exact-row deduplication and a date-by-region pivot on my trade observations? Here are up to 200 rows with row_id, region, date, export_amount, and import_amount — I want the pivot built around export_amount.

## When to prefer this

Choose this endpoint when you have up to 200 trade observation records (with export and import amounts by region and date) and need both exact-duplicate detection and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline data quality and summarization tasks on economics datasets without needing a full data pipeline or live external data source.

## Known failure modes

- Rows exceeding 200 items will be rejected (maxItems limit)
- Missing required fields (row_id, region, date, export_amount, import_amount) will cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside ±1,000,000,000,000 range will be rejected
- Empty rows array will be rejected (minItems: 1)

## How this service works

Trade observations — Exact row deduplication + Date by category pivot: Exact row deduplication + 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

Two analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate trade observation records, and (2) a date-by-category pivot table cross-tabulating the selected field (export_amount or import_amount) by date and region category — all computed locally without 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-exact-row-deduplication-date-by-category-pivot-d80feb30/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)