# Forecast Verification Inputs — Numeric Row Ordering + Date by Category Pivot

> Forecast Verification Inputs — Numeric Row Ordering + Date by Category Pivot 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).

Analyzes forecast verification data (forecast vs observed values) by producing two local reports: numeric row ordering and a date-by-category pivot, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-24-122?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/forecast-verification-inputs-numeric-row-ordering-date-by-category-553246f3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KwbuVBwL2x36qeb6v3Gfi

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-date-by-category-553246f3 -d '<json body>'
```

Example prompt: I have forecast verification records for two station groups over four dates — row-1 through row-4, group-a and group-b, with forecast values 10, 20, 15, 30 and observed values 1, 2, 3, 4 — can you run the numeric row ordering and date-by-category pivot reports on the forecast_value field for me?

## When to prefer this

Choose this endpoint when you have forecast verification tabular data (forecast vs observed numeric values with dates and group labels) and need both a ranked numeric ordering and a date-by-category pivot in a single low-cost call. Ideal for weather model verification workflows, batch QA pipelines, or any scenario where you supply your own data and need two complementary analytical views without live lookups or external data enrichment.

## Known failure modes

- Missing required row fields (row_id, date, station_group, forecast_value, observed_value) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit
- Invalid field enum value (not 'forecast_value' or 'observed_value') causes rejection
- Null numeric values may affect ordering and pivot aggregation results
- Empty rows array (minItems:1 violated) returns error

## How this service works

Forecast verification inputs — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot 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

Returns two analytical reports computed locally on the supplied data: (1) a numerically ordered ranking of rows by the selected field (forecast_value or observed_value), and (2) a date-by-category pivot table cross-tabulating values by date and station_group. No external data is fetched; all analysis is performed on the provided rows (up to 200).

## 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-date-by-category-553246f3/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)