# Agricultural Output — Numeric Row Ordering + Explicit Missing-Value Fill

> Agricultural Output — Numeric Row Ordering + Explicit Missing-Value Fill 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).

Sorts agricultural output rows numerically and fills missing output_tonnes or cultivated_hectares values using zero, mean, or median imputation for up to 200 records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-16-124?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-numeric-row-ordering-explicit-missing-value-fill-4260bea0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1hv2EW-UJjPleVnBR-0Xw

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-numeric-row-ordering-explicit-missing-value-fill-4260bea0 -d '<json body>'
```

Example prompt: I have a batch of up to 50 agricultural output records with some missing output_tonnes values — can you sort them by numeric row order and fill in the missing values using median imputation?

## When to prefer this

Choose this endpoint when you have tabular agricultural output data (crop tonnes, hectares) with missing numeric values that need imputation (zero, mean, or median) alongside numeric row ordering, and your dataset is up to 200 rows. Ideal for preprocessing pipelines before analytics or reporting. Not suitable for live data lookup, forecasting, prediction, or datasets exceeding 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown imputation method specified (not zero/mean/median) — enum validation error
- Empty rows array — minimum items constraint violated
- row_id missing or blank — required field error
- Numeric values outside allowed range (±1 trillion) — schema rejection

## How this service works

Agricultural output — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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

Returns two analytical reports covering: (1) the input rows reordered by numeric row identifier, and (2) the specified field (output_tonnes or cultivated_hectares) with all null/missing values replaced using the chosen method (zero, mean, or median). Up to 200 rows are processed per call.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agricultural-output-numeric-row-ordering-explicit-missing-value-fill-4260bea0/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)