# Elevation Samples — Numeric Row Ordering + Numeric Interval Filter

> Elevation Samples — Numeric Row Ordering + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Sorts elevation sample records by a numeric field and filters them to a specified numeric interval, returning two analytical reports on up to 200 rows of elevation and sample weight data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-13-113?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/elevation-samples-numeric-row-ordering-numeric-interval-filter-5cc2e896
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gvCBWOQi5C7Qll2CuBAql

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 elevation-samples-numeric-row-ordering-numeric-interval-filter-5cc2e896 -d '<json body>'
```

Example prompt: I have 4 elevation sample records from stations group-a and group-b with elevations of 10, 20, 15, and 30 meters and sample weights of 1 through 4 — can you sort them by elevation_m and filter to only show rows where elevation_m is between 0 and 100?

## When to prefer this

Choose this endpoint when you have tabular elevation or sample-weight data (up to 200 rows) and need both a sorted ordering and a bounded interval filter in a single call. It is ideal for lightweight, offline analytical tasks on pre-collected environmental or geospatial datasets where no live data lookup, prediction, or external enrichment is required. Prefer it over general-purpose data tools when you want a structured dual-report output at low cost ($0.01 USDC).

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required row fields (row_id, station_group, date, elevation_m, sample_weight) — schema validation failure
- field enum value not one of 'elevation_m' or 'sample_weight' — invalid input
- minimum greater than maximum — may return empty interval filter result
- Payment not included or insufficient — 402 payment required response

## How this service works

Elevation samples — Numeric row ordering + Numeric interval filter: Numeric row ordering + Numeric interval filter for supplied elevation samples records (elevation_m, sample_weight). 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 covering: (1) the input rows sorted by the specified numeric field in ascending order, and (2) the subset of rows where the specified numeric field falls within the provided minimum and maximum interval. 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",
     "station_group",
     "date",
     "elevation_m",
     "sample_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "elevation_m": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "sample_weight": {
      "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",
     "elevation_m": 10,
     "sample_weight": 1,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "elevation_m": 20,
     "sample_weight": 2,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "elevation_m": 15,
     "sample_weight": 3,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "elevation_m": 30,
     "sample_weight": 4,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "elevation_m",
    "sample_weight"
   ],
   "type": "string",
   "default": "elevation_m"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/elevation-samples-numeric-row-ordering-numeric-interval-filter-5cc2e896/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)