# Elevation Samples — Base-100 Series + Keyed Dataset Comparison

> Elevation Samples — Base-100 Series + Keyed Dataset Comparison 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 (Base-100 series normalization and keyed dataset comparison) on up to 200 supplied elevation sample records with elevation_m and sample_weight fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-13-168?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-base-100-series-keyed-dataset-comparison-5cd983ea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bWO9eNwGNxZtL5__TYc0D

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-base-100-series-keyed-dataset-comparison-5cd983ea -d '<json body>'
```

Example prompt: I have two sets of elevation readings — a primary set and a comparison set, each up to 200 rows with row_id, station_group, date, elevation_m, and sample_weight — can you run a Base-100 series normalization and a keyed dataset comparison on the elevation_m field across both datasets?

## When to prefer this

Choose this endpoint when you have pre-collected elevation sample data (with weights and station groups) that you want to normalize to a Base-100 index and simultaneously compare against a second dataset — all without any external lookup or live data fetch. It is best suited for offline, batch analytical workflows on tabular elevation records where two reports are needed in one call at low cost.

## 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 rejected or error returned
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Field enum value outside allowed options (elevation_m, sample_weight) — rejected
- Empty rows array — minimum 1 item required
- Payment not included or insufficient — x402 payment required error

## How this service works

Elevation samples — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison 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 computed locally: (1) a Base-100 indexed series normalizing the chosen field (elevation_m or sample_weight) across the primary row set, and (2) a keyed dataset comparison between the primary rows and the supplied comparison dataset — covering up to 200 rows per dataset with per-row results including indexed values and comparison deltas.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "elevation_m": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "sample_weight": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "elevation_m": 10,
     "sample_weight": 1,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "elevation_m": 20,
     "sample_weight": 2,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "elevation_m": 15,
     "sample_weight": 3,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "elevation_m": 30,
     "sample_weight": 4,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "elevation_m",
    "sample_weight"
   ],
   "type": "string",
   "default": "elevation_m"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "elevation_m",
     "sample_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": "str
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/elevation-samples-base-100-series-keyed-dataset-comparison-5cd983ea/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)