# Forecast Verification Inputs — Numeric Row Ordering + Secondary-Measure Weighted Mean

> Forecast Verification Inputs — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Computes numeric row ordering and secondary-measure weighted mean analytics for up to 200 forecast verification input records (forecast_value and observed_value pairs).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-24-121?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/forecast-verification-inputs-numeric-row-ordering-secondary-measure-80bf5716
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PGcKZYH1IVgDVSRaxksAF

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 forecast-verification-inputs-numeric-row-ordering-secondary-measure-80bf5716 -d '<json body>'
```

Example prompt: I have 4 forecast verification records from stations group-a and group-b dated 2026-10-01 through 2026-10-04 with forecast values 10, 20, 15, 30 and observed values 1, 2, 3, 4 — can you compute the numeric row ordering and weighted mean on the forecast_value field?

## When to prefer this

Choose this endpoint when you have a batch of forecast verification records (forecast_value + observed_value pairs) and need both numeric ordering and a weighted mean computed locally without any live data lookup, external prediction, or professional assessment. Ideal for post-hoc forecast accuracy analysis pipelines where you supply your own data and want two statistical reports in a single low-cost call ($0.01 USDC for up to 200 rows).

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, forecast_value, observed_value) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- forecast_value or observed_value outside ±1,000,000,000,000 — rejected by schema
- Empty rows array — minimum 1 row required, request fails
- Invalid field enum value (not 'forecast_value' or 'observed_value') — schema validation error
- Payment not included or insufficient USDC — x402 payment required error

## How this service works

Forecast verification inputs — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied forecast verification inputs records (forecast_value, observed_value). 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 per call: (1) numeric row ordering of the submitted records sorted by the selected field (forecast_value or observed_value), and (2) a secondary-measure weighted mean computed across up to 200 supplied rows. Results are derived purely from the submitted data using local analytical engines — no external data or predictions are involved.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/forecast-verification-inputs-numeric-row-ordering-secondary-measure-80bf5716/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)