# Field Survey Coverage — Numeric Row Ordering + Base-100 Series

> Field Survey Coverage — Numeric Row Ordering + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes numeric row ordering and a base-100 index series for field survey coverage records (surveyed_m2 and target_m2), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-22-117?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/field-survey-coverage-numeric-row-ordering-base-100-series-d8e28c57
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_65dgvnJEZvLxr39rQ3Gdw

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 field-survey-coverage-numeric-row-ordering-base-100-series-d8e28c57 -d '<json body>'
```

Example prompt: Can you run a numeric row ordering and base-100 index series on my field survey coverage data? I have 4 rows with station groups A and B, dates from 2026-10-01 to 2026-10-04, surveyed_m2 values of 10, 20, 15, and 30, and target_m2 values of 1, 2, 3, and 4 — use surveyed_m2 as the field and start the base index at row 0.

## When to prefer this

Choose this endpoint when you have field survey coverage records (surveyed_m2, target_m2) and need both a numeric ranking of rows and a base-100 normalized index series in a single call. It is ideal for environmental surveys, ecological monitoring, or land coverage audits where you want to compare relative progress across stations or dates without any external data lookup. Prefer this over general statistics APIs when you specifically need the combination of row ordering plus base-indexed normalization on survey area measurements.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- base_index value out of range (must be 0–199) — parameter error
- All surveyed_m2 or target_m2 values are null — may produce degenerate or empty series
- Payment not fulfilled — x402 payment required before response is returned

## How this service works

Field survey coverage — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied field survey coverage records (surveyed_m2, target_m2). 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: (1) a numeric row ordering that ranks each input row by the selected field value, and (2) a base-100 index series normalizing all values relative to the specified base index row. Both reports cover all submitted rows (up to 200) and are computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "surveyed_m2",
     "target_m2"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "target_m2": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "surveyed_m2": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "target_m2": 1,
     "surveyed_m2": 10,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "target_m2": 2,
     "surveyed_m2": 20,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "target_m2": 3,
     "surveyed_m2": 15,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "target_m2": 4,
     "surveyed_m2": 30,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "surveyed_m2",
    "target_m2"
   ],
   "type": "string",
   "default": "surveyed_m2"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/field-survey-coverage-numeric-row-ordering-base-100-series-d8e28c57/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)