# Pressure Observations — Numeric Distribution + Trailing Mean Series

> Pressure Observations — Numeric Distribution + Trailing Mean 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 a numeric distribution and trailing mean time series for user-supplied atmospheric pressure and elevation observation records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-05-076?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/pressure-observations-numeric-distribution-trailing-mean-series-1a7e85fd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_W8tnA4x6415iGHlizEORT

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 pressure-observations-numeric-distribution-trailing-mean-series-1a7e85fd -d '<json body>'
```

Example prompt: I have pressure readings from my weather stations — can you run a numeric distribution and a trailing mean series on the pressure_hpa field using a rolling window of 5, across these 12 rows of station data including dates and elevation_m values?

## When to prefer this

Choose this endpoint when you have your own pressure or elevation observation records (up to 200 rows) and need fast, self-contained statistical analysis — specifically a numeric distribution and a trailing mean time series — without any live data fetching, external API lookups, or forecasting. Ideal for post-hoc analysis of weather station logs, sensor exports, or manually collected barometric data.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, pressure_hpa, elevation_m) causes a schema rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Window size outside range 2–200 is rejected
- Null numeric values may affect distribution and trailing mean accuracy
- Empty rows array is rejected (minItems: 1)

## How this service works

Pressure observations — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied pressure observations records (pressure_hpa, elevation_m). 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 for the supplied dataset: (1) a numeric distribution showing the spread and frequency of values for the chosen field (pressure_hpa or elevation_m), and (2) a trailing mean series showing the rolling average over the specified window size. Both reports are computed locally on the submitted data (up to 200 rows) with no external data lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "pressure_hpa",
     "elevation_m"
    ],
    "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
     },
     "pressure_hpa": {
      "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": 1,
     "pressure_hpa": 10,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "elevation_m": 2,
     "pressure_hpa": 20,
     "station_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "elevation_m": 3,
     "pressure_hpa": 15,
     "station_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "elevation_m": 4,
     "pressure_hpa": 30,
     "station_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "pressure_hpa",
    "elevation_m"
   ],
   "type": "string",
   "default": "pressure_hpa"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pressure-observations-numeric-distribution-trailing-mean-series-1a7e85fd/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)