# Forecast Verification Inputs — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean

> Forecast Verification Inputs — Record Quality Audit + String Normalisation + 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 2026-10-23).

Runs three local analytical reports (record quality audit, string normalisation, and secondary-measure weighted mean) on up to 200 forecast verification rows containing forecast and observed values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-24-205?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/forecast-verification-inputs-record-quality-audit-string-ab036afb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YbP2-U_OLTyP0rOx0C4Rz

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-record-quality-audit-string-ab036afb -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and secondary-measure weighted mean on my forecast verification records? I have 4 rows — row-1 for station group-a on 2026-10-01 with forecast 10 and observed 1, row-2 for group-b on 2026-10-02 with forecast 20 and observed 2, row-3 for group-a on 2026-10-03 with forecast 15 and observed 3, and row-4 for group-b on 2026-10-04 with forecast 30 and observed 4 — use forecast_value as the primary field.

## When to prefer this

Choose this endpoint when you need three simultaneous local analytical operations — quality audit, string normalisation, and weighted mean — on forecast/observed value pairs in a single $0.01 call. It is purpose-built for forecast verification data with station_group and date dimensions. Prefer it over single-report endpoints when you need all three reports together for up to 200 rows without any live external data fetching or prediction.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, station_group, date, forecast_value, observed_value) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Field selector not one of 'forecast_value' or 'observed_value' — enum validation error
- All numeric values null — weighted mean cannot be computed meaningfully
- Payment not completed — endpoint returns 402 or similar payment-required error

## How this service works

Forecast verification inputs — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied forecast verification inputs records (forecast_value, observed_value). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 ro

## Output

Three separate analytical reports: (1) a record quality audit flagging issues in the input rows, (2) a string normalisation report cleaning up station_group and other string fields, and (3) a secondary-measure weighted mean computed over the specified numeric field (forecast_value or observed_value) across all submitted rows. All processing is performed locally with no external lookups.

## 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-record-quality-audit-string-ab036afb/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)