# Trade Observations — String Normalisation & Grouped Numeric Summary

> Trade Observations — String Normalisation & Grouped Numeric Summary 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).

Normalises string fields and produces grouped numeric summaries for trade observation records containing export and import amounts, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-06-023?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-string-normalisation-grouped-numeric-summary-a65f0509
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uurfMAF92_eViFMdIeTDq

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-string-normalisation-grouped-numeric-summary-a65f0509 -d '<json body>'
```

Example prompt: I have 4 trade observation records — row-1 to row-4 across group-a and group-b regions, dated 2026-10-01 to 2026-10-04, with export_amount values of 10, 20, 15, 30 and import_amount values of 1, 2, 3, 4 — can you normalise the string fields and give me a grouped numeric summary for export_amount?

## When to prefer this

Choose this endpoint when you have tabular trade observation data (import/export amounts by region and date) and need both string normalisation and grouped numeric summarisation in a single affordable call. It is ideal for batch offline analytics on up to 200 rows where no live data lookup, prediction, or external enrichment is needed. At $0.01 for two reports, it is cost-effective for routine data cleaning and aggregation pipelines.

## Known failure modes

- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, region, date, export_amount, import_amount) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Empty rows array — minimum 1 item required
- Invalid field enum value (must be export_amount or import_amount) — rejected

## How this service works

Trade observations — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 reports generated from the supplied data: (1) a string normalisation report cleaning region and date fields, and (2) a grouped numeric summary of the selected measure (export_amount or import_amount) aggregated by region, covering up to 200 input rows. No external data sources are consulted.

## 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-string-normalisation-grouped-numeric-summary-a65f0509/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)