# Elevation Samples — Numeric Interval Filter + Date-by-Category Pivot

> Elevation Samples — Numeric Interval Filter + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Filters elevation sample records by a numeric range on a chosen field and generates a date-by-station-group pivot report, returning two analytical summaries for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-13-133?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/elevation-samples-numeric-interval-filter-date-by-category-pivot-804a00be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fA34pVhpY74QyhlRC0rCz

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-interval-filter-date-by-category-pivot-804a00be -d '<json body>'
```

Example prompt: I have 150 elevation sample records with fields row_id, station_group, date, elevation_m, and sample_weight — can you filter on elevation_m between 0 and 100, then give me a pivot of results by date and station group as two separate analytical reports?

## When to prefer this

Choose this endpoint when you have up to 200 elevation or environmental sample records and need two simultaneous analytical outputs — a numeric range filter and a date-by-category pivot — without any external data lookup or prediction. Ideal for batch offline analysis of survey or monitoring station data where you supply all rows directly.

## Known failure modes

- Empty result if no rows fall within the specified min/max range
- Validation error if rows array is empty or exceeds 200 items
- Schema error if required fields (row_id, station_group, date, elevation_m, sample_weight) are missing from any row
- Date format error if date strings don't match YYYY-MM-DD pattern
- Payment failure if 0.01 USDC x402 payment is not attached or insufficient

## How this service works

Elevation samples — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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

Returns two analytical reports based on the supplied row data: (1) records passing the numeric interval filter on the chosen field (elevation_m or sample_weight) within the specified minimum/maximum bounds, and (2) a date-by-station-group pivot table aggregating the filtered records. Both reports are computed locally from the supplied data with no external lookups.

## 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-interval-filter-date-by-category-pivot-804a00be/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)