# Elevation Samples — Adjacent Row Changes + Base-100 Series

> Elevation Samples — Adjacent Row Changes + 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 2026-11-02).

Computes adjacent row-to-row change analysis and base-100 indexed series for supplied elevation sample records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-13-155?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-adjacent-row-changes-base-100-series-01386000
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dV8sNmhjLCIIA-rp9Kb0H

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-adjacent-row-changes-base-100-series-01386000 -d '<json body>'
```

Example prompt: I have elevation sample records for two station groups over several dates — can you run the adjacent row change analysis and base-100 series on the elevation_m field, starting the base index at row 0? Here are the rows: row-1 on 2026-10-01, elevation 10m weight 1, group-a; row-2 on 2026-10-02, elevation 20m weight 2, group-b; row-3 on 2026-10-03, elevation 15m weight 3, group-a.

## When to prefer this

Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both a sequential row-difference analysis and a base-100 normalized index series computed together in a single call for a flat per-call fee. It is ideal for offline/batch analytical workflows on pre-collected sensor or survey data where no live geospatial lookup or prediction is needed.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maximum row limit
- base_index out of range (must be 0–199 and within actual row count)
- Missing required fields (row_id, date, elevation_m, sample_weight, station_group) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Non-numeric values for elevation_m or sample_weight when not null

## How this service works

Elevation samples — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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: (1) adjacent row-to-row change values for the selected field across the input rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally from the supplied elevation sample records without any external lookup.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/elevation-samples-adjacent-row-changes-base-100-series-01386000/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)