# Forecast Verification Inputs — Record Quality Audit + String Normalisation + Grouped Numeric Summary

> Forecast Verification Inputs — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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 three local analytical reports on forecast verification data (up to 200 rows): a record quality audit, string normalisation, and grouped numeric summary of forecast_value and observed_value fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-24-194?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-record-quality-audit-string-9c5759f4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xRp-X-7v-0ds5tunVQ-Bo

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-9c5759f4 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and grouped numeric summary on my forecast verification data? I have 4 rows with station groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and forecast_value as the target field.

## When to prefer this

Choose this endpoint when you need a fast, local, multi-report batch analysis of forecast verification records without any live lookup, external API call, or model inference. Ideal for data pipeline validation steps, pre-training data cleaning, or quick QA passes on weather forecast accuracy datasets of up to 200 rows at very low cost ($0.01 for all three reports).

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, forecast_value, observed_value) on any row — error or partial report
- Invalid date format not matching YYYY-MM-DD pattern — validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejection
- Empty rows array — validation error
- Invalid field enum value — error returned

## How this service works

Forecast verification inputs — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 rows.

## Output

Three independent analytical reports computed locally from the supplied rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report for the station_group and related string fields; (3) a grouped numeric summary (e.g. counts, means, min/max) for the selected field (forecast_value or observed_value) segmented by station_group. No external data is fetched or predictions made.

## 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-9c5759f4/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)