# Agricultural Output String Normalisation and Numeric Row Ordering

> Agricultural Output String Normalisation and Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Normalises region/date strings and sorts agricultural output records (output_tonnes, cultivated_hectares) numerically for up to 200 rows, producing 2 local analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-16-025?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agricultural-output-string-normalisation-and-numeric-row-ordering-bef34630
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mMp36B-kw13zK4ujFR8ii

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 agricultural-output-string-normalisation-and-numeric-row-ordering-bef34630 -d '<json body>'
```

Example prompt: Can you normalize the region strings and sort these agricultural rows numerically by output_tonnes? I have 4 records: row-1 (group-a, 2026-10-01, 10 tonnes, 1 ha), row-2 (group-b, 2026-10-02, 20 tonnes, 2 ha), row-3 (group-a, 2026-10-03, 15 tonnes, 3 ha), row-4 (group-b, 2026-10-04, 30 tonnes, 4 ha) — I want both the string normalisation and numeric ordering reports.

## When to prefer this

Choose this endpoint when you need deterministic, offline string normalisation and numeric sorting of agricultural records (output_tonnes, cultivated_hectares) without any live data lookup, prediction, or external enrichment. Ideal for pre-processing small-to-medium batches (up to 200 rows) of crop production data cheaply ($0.01 per call covering 2 reports) before feeding into downstream analytics or reporting pipelines.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, region, date, output_tonnes, cultivated_hectares) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field selector not one of the allowed enum values — validation error
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure

## How this service works

Agricultural output — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied agricultural output records (output_tonnes, cultivated_hectares). 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 per call: one covering string normalisation of region/date fields across up to 200 input rows, and one covering numeric row ordering by the selected field (output_tonnes or cultivated_hectares), 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",
     "output_tonnes",
     "cultivated_hectares"
    ],
    "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
     },
     "output_tonnes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "cultivated_hectares": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "region": "group-a",
     "row_id": "row-1",
     "output_tonnes": 10,
     "cultivated_hectares": 1
    },
    {
     "date": "2026-10-02",
     "region": "group-b",
     "row_id": "row-2",
     "output_tonnes": 20,
     "cultivated_hectares": 2
    },
    {
     "date": "2026-10-03",
     "region": "group-a",
     "row_id": "row-3",
     "output_tonnes": 15,
     "cultivated_hectares": 3
    },
    {
     "date": "2026-10-04",
     "region": "group-b",
     "row_id": "row-4",
     "output_tonnes": 30,
     "cultivated_hectares": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "output_tonnes",
    "cultivated_hectares"
   ],
   "type": "string",
   "default": "output_tonnes"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agricultural-output-string-normalisation-and-numeric-row-ordering-bef34630/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)