# Elevation Samples — Record Quality Audit + Adjacent Row Changes

> Elevation Samples — Record Quality Audit + Adjacent Row Changes 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).

Runs two local analytical reports on supplied elevation sample records: a record quality audit and an adjacent row change analysis, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-13-011?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-record-quality-audit-adjacent-row-changes-7d04393d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lk6oN8O-9zoGzwL7NQoVv

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-record-quality-audit-adjacent-row-changes-7d04393d -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row change analysis on these 4 elevation samples — row-1 on 2026-10-01 at 10m (weight 1, group-a), row-2 on 2026-10-02 at 20m (weight 2, group-b), row-3 on 2026-10-03 at 15m (weight 3, group-a), row-4 on 2026-10-04 at 30m (weight 4, group-b) — analyzing the elevation_m field?

## When to prefer this

Choose this endpoint when you need two complementary data quality reports — a record quality audit AND adjacent row change analysis — on elevation sample data (with sample weights) in a single $0.01 call. Prefer it over single-report alternatives when you want both quality flagging and sequential change detection together. Best suited for batch validation of up to 200 rows of elevation survey data before pipeline ingestion or when debugging anomalies in sequential elevation readings.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, station_group, date, elevation_m, sample_weight) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Field selector not one of 'elevation_m' or 'sample_weight' — enum validation error
- Empty rows array — minItems constraint violation
- Payment not included or insufficient — 402 Payment Required

## How this service works

Elevation samples — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries per row, and (2) an adjacent row changes report showing differences between consecutive rows for the selected field (elevation_m or sample_weight). All analysis is performed locally without external lookups or predictions.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/elevation-samples-record-quality-audit-adjacent-row-changes-7d04393d/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)